岩石隧道掘进机刀盘设计方法研究
|
摘要
刀盘设计是全断面岩石隧道掘进机(TBM)的设计关键,是影响其掘进性能的决定性因素。TBM刀盘需根据地质条件和施工要求进行适应性设计,属复杂工程系统设计问题。掌握刀盘适应性设计关键技术,提高自主创新设计与制造能力,具有重要的战略意义。诸如TBM的复杂装备结构复杂、价格昂贵、施工任务重要,由于装备性能与运行的外部环境密切相关,当外部环境(如TBM施工地质环境)发生未预料变化时,可能造成装备性能劣化,无法满足当前期望性能需求。由此,复杂装备的适应性设计研究提到日程并引起人们的重视,成为亟待解决的重要课题。
基于上述工程背景,在国家863高技术发展计划和国家自然科学基金的资助下,本文首先研究了TBM刀盘主参数设计方法和刀具布置设计方法,进而研究了应对未预料地质环境变化的TBM刀盘及相关组件局部再设计问题。TBM刀盘设计内容较广,本文研究其中部分内容,主要包括:
(1)给出了考虑地质环境的基于实例推理(CBR)的刀盘主参数设计方法,以用于快速设计刀具数量、切削参数、主推力、功率和扭矩等刀盘主参数。该实例推理新意在于,给出了刀盘设计的实例表示方法:利用局部相似度分别度量实例中不同类型属性参数的相似度,给出各属性局部相似度计算方法;进而针对取值为区间数的实例属性,给出了一种基于属性值概率分布的区间相似度计算方法;利用组合修改实例的方法推理获得新刀盘的主参数设计方案。该方法贴近目前TBM设计师设计实际。最后经某水利工程引水隧洞施工用的TBM刀盘主参数设计进行了对比验证。
(2)给出了较为符合工程实际的TBM刀具布置设计描述模型,考虑了更多的工程因素和技术要求,有别于传统模型。利用多目标进化算法NSGA-Ⅱ进行求解,并给出了基于模糊目标偏好和待布物分布距离支配的Pareto最优解选择方法。最后经TBM刀具布置实例进行了对比验证。
(3)给出了另外一种基于模糊逻辑推理和进化算法的TBM刀具布置设计方法。该方法利用模糊逻辑推理处理专家经验规则知识,用计算机模拟专家推理过程,获得待布物(本文指刀具)的布置区域范围,相当于得到一个模糊粗略布置方案,将推理结果方案输入到进化算法(如NSGA-Ⅱ)中,与进化算法计算结果方案一起进行进化操作,从而获得更好的优化方案。最后经TBM刀具布置实例进行了对比验证。
(4)以地质环境发生未预料变化的隧道掘进机刀盘及相关组件设计为例,给出了应对未预料环境变化的现有装备适应性局部再设计(ALRE~2)。ALRE~2的特点是在现有装备基础上进行适应性局部变化设计(包括附加新的功能组件),或者尽量恢复原环境,目的是使现有装备尽量适应未预料的外部环境,以满足当前期望性能需求。ALRE~2关键问题是如何解决结构耦合冲突问题。本文给出了ALRE~2的设计策略和关键技术:装备新功能派生、装备功能—结构分析、结构变化传播性预测、结构耦合冲突消除和变化设计决策。建立了装备附加诊断系统的设计决策模型。
实践上,隧道掘进机(如TBM)属重大关键装备,并且涉及国家地质秘密,我国目前多为由国外引进或合作生产,急需掌握具有自主知识产权的设计技术,其中刀盘设计又是TBM设计的关键。因此,研究尽量符合工程实际的TBM刀盘设计方法,具有工程价值。理论上,研究尽量符合工程实际的刀盘上刀具布置设计理论和方法,以及应对未预料环境变化的隧道掘进机刀盘及其相关组件局部再设计方法,期望有助于促进TBM刀盘的适应性设计理论研究进展,并有助于推动应对未预料环境变化的适应性设计研究开拓与进展。
Being a crucial factor in influencing the performance of Full Face Rock Tunnel Boring Machine (TBM), the cutterhead design is one of the key issues of TBM. The cutterhead needs to be designed according to geological conditions and construction requirements of a tunneling. Thus the cutterhead design is a complex issue of engineering system design. It is of important strategic meaning to study the key technologies and improve independent innovation design capability of the cutterhead. In general, complex equipment, such as TBM, is expensive and to perform vital tasks. The environment in which complex equipment operates has a great impact on equipment's performance. The external environment can change in an unanticipated way, which usually leads to inferior performance and even not meeting current expected performance requirements. So the adaptable design of complex equipment absorbs people's attention and becomes an urgent topic to be resolved.
Based on the above engineering application backgrounds and supported by National Hi-Tech Research and Development Program (863 Program) of China and National Natural Science Foundation of China, this paper firstly studies the principal parameter design and cutter layout design method of TBM cutterhead. Then this paper studies the issue of TBM local redesign responding to unanticipated ground change. The cutterhead design is a wide issue, and only a part is studied in this paper. The main contents of this dissertation are as follows:
(1) A case-based reasoning design approach considering geological conditions for TBM cutterhead principal parameters is proposed to quickly design the cutterhead principal parameters, which includes cutterhead number, cutting geometry, thrust and torque, etc. The design case description method of the cutterhead is proposed. Since there exist both numerical and symbolic attributes in cutterhead design cases, this paper uses local similarities to measure the similarities of various case attributes. The calculating ways of local similarities are provided correspondingly. For the local attribute whose value is at interval, this paper presents an interval similarity calculating method based on the probability distribution of the attribute value in the interval range. A combined case modification method is used to obtain the proposed solution of the new cutterhead design issue. The proposed method corresponds to the current design activities of TBM designers. Finally, a design example is given to verify the proposed method.
(2) On the basis of summing up the related research, engineering practice and domain expert experience, this paper gives the description model of TBM cutter layout. The model matches the actual engineering conditions and considers more engineering factors and technical requirements, which is different from the traditional models. As for the characteristic of the layout problem, this paper proposes the solving method based on multi-objective evolutionary algorithm NSGA-II and presents the Pareto solution selection method based on fuzzy objective preference and distributing distance of the allocated objects. Finally, a TBM cutter layout example is given to verify the proposed model and method.
(3) Another design method of TBM cutter layout is studied, which is based on fuzzy logic reasoning and evolutionary algorithm. In this methd, the fuzzy logic reasoning is used to express expert experience rule knowledge, imitate the expert reasoning process and obtain the layout districts of the allocated objects. The reasoning outcome corresponds to a fuzzy layout scheme and is input into evolutionary algorithm to evolve with the evolutionary computing programs so as to obtain better design scenarios. Finally, a TBM cutter layout example is given to verify the proposed method.
(4) Taking the local redesign of TBM cutterhead responding to unanticipated changes of geological environment as example, the adaptable local redesign issue of existing equipment (ALRE~2) responding to unanticipated environment change is studied. The characteristic of ALRE~2 is to make adaptable local change design (including adding on new function components) on the basis of existing equipment architecture. The design objectives are to adapt existing equipment to new external environment so as to meet current expected performance requirements. The key issue of ALRE~2 is how to solve the architecture coupling contradiction of existing equipment. The design strategies of ALRE~2 are proposed. The key elements of ALRE~2 are discussed including new function derivation, function-structure analysis, structure change propagation prediction, coupling contradiction elimination and change design decision of the equipment. A design decision model of adding on diagnostics subsystem for equipment is proposed.
In practice, Tunnel Boring Machine is large and key equipment, which relates to the national geology secret. Most TBMs are imported or cooperatively produced in our country. It is urgent to master the design technology with independent intellectual copyright. The cutterhead design is one of the key technologies of TBM. Thus it is of engineering application value to study TBM cutterhead design method, which matches with engineering practice. In theory, the research of cutterhead layout design method and ALRE~2 is helpful for promoting the research progress of TBM design theory and adaptable design responding to unanticipated environment.
基于上述工程背景,在国家863高技术发展计划和国家自然科学基金的资助下,本文首先研究了TBM刀盘主参数设计方法和刀具布置设计方法,进而研究了应对未预料地质环境变化的TBM刀盘及相关组件局部再设计问题。TBM刀盘设计内容较广,本文研究其中部分内容,主要包括:
(1)给出了考虑地质环境的基于实例推理(CBR)的刀盘主参数设计方法,以用于快速设计刀具数量、切削参数、主推力、功率和扭矩等刀盘主参数。该实例推理新意在于,给出了刀盘设计的实例表示方法:利用局部相似度分别度量实例中不同类型属性参数的相似度,给出各属性局部相似度计算方法;进而针对取值为区间数的实例属性,给出了一种基于属性值概率分布的区间相似度计算方法;利用组合修改实例的方法推理获得新刀盘的主参数设计方案。该方法贴近目前TBM设计师设计实际。最后经某水利工程引水隧洞施工用的TBM刀盘主参数设计进行了对比验证。
(2)给出了较为符合工程实际的TBM刀具布置设计描述模型,考虑了更多的工程因素和技术要求,有别于传统模型。利用多目标进化算法NSGA-Ⅱ进行求解,并给出了基于模糊目标偏好和待布物分布距离支配的Pareto最优解选择方法。最后经TBM刀具布置实例进行了对比验证。
(3)给出了另外一种基于模糊逻辑推理和进化算法的TBM刀具布置设计方法。该方法利用模糊逻辑推理处理专家经验规则知识,用计算机模拟专家推理过程,获得待布物(本文指刀具)的布置区域范围,相当于得到一个模糊粗略布置方案,将推理结果方案输入到进化算法(如NSGA-Ⅱ)中,与进化算法计算结果方案一起进行进化操作,从而获得更好的优化方案。最后经TBM刀具布置实例进行了对比验证。
(4)以地质环境发生未预料变化的隧道掘进机刀盘及相关组件设计为例,给出了应对未预料环境变化的现有装备适应性局部再设计(ALRE~2)。ALRE~2的特点是在现有装备基础上进行适应性局部变化设计(包括附加新的功能组件),或者尽量恢复原环境,目的是使现有装备尽量适应未预料的外部环境,以满足当前期望性能需求。ALRE~2关键问题是如何解决结构耦合冲突问题。本文给出了ALRE~2的设计策略和关键技术:装备新功能派生、装备功能—结构分析、结构变化传播性预测、结构耦合冲突消除和变化设计决策。建立了装备附加诊断系统的设计决策模型。
实践上,隧道掘进机(如TBM)属重大关键装备,并且涉及国家地质秘密,我国目前多为由国外引进或合作生产,急需掌握具有自主知识产权的设计技术,其中刀盘设计又是TBM设计的关键。因此,研究尽量符合工程实际的TBM刀盘设计方法,具有工程价值。理论上,研究尽量符合工程实际的刀盘上刀具布置设计理论和方法,以及应对未预料环境变化的隧道掘进机刀盘及其相关组件局部再设计方法,期望有助于促进TBM刀盘的适应性设计理论研究进展,并有助于推动应对未预料环境变化的适应性设计研究开拓与进展。
Being a crucial factor in influencing the performance of Full Face Rock Tunnel Boring Machine (TBM), the cutterhead design is one of the key issues of TBM. The cutterhead needs to be designed according to geological conditions and construction requirements of a tunneling. Thus the cutterhead design is a complex issue of engineering system design. It is of important strategic meaning to study the key technologies and improve independent innovation design capability of the cutterhead. In general, complex equipment, such as TBM, is expensive and to perform vital tasks. The environment in which complex equipment operates has a great impact on equipment's performance. The external environment can change in an unanticipated way, which usually leads to inferior performance and even not meeting current expected performance requirements. So the adaptable design of complex equipment absorbs people's attention and becomes an urgent topic to be resolved.
Based on the above engineering application backgrounds and supported by National Hi-Tech Research and Development Program (863 Program) of China and National Natural Science Foundation of China, this paper firstly studies the principal parameter design and cutter layout design method of TBM cutterhead. Then this paper studies the issue of TBM local redesign responding to unanticipated ground change. The cutterhead design is a wide issue, and only a part is studied in this paper. The main contents of this dissertation are as follows:
(1) A case-based reasoning design approach considering geological conditions for TBM cutterhead principal parameters is proposed to quickly design the cutterhead principal parameters, which includes cutterhead number, cutting geometry, thrust and torque, etc. The design case description method of the cutterhead is proposed. Since there exist both numerical and symbolic attributes in cutterhead design cases, this paper uses local similarities to measure the similarities of various case attributes. The calculating ways of local similarities are provided correspondingly. For the local attribute whose value is at interval, this paper presents an interval similarity calculating method based on the probability distribution of the attribute value in the interval range. A combined case modification method is used to obtain the proposed solution of the new cutterhead design issue. The proposed method corresponds to the current design activities of TBM designers. Finally, a design example is given to verify the proposed method.
(2) On the basis of summing up the related research, engineering practice and domain expert experience, this paper gives the description model of TBM cutter layout. The model matches the actual engineering conditions and considers more engineering factors and technical requirements, which is different from the traditional models. As for the characteristic of the layout problem, this paper proposes the solving method based on multi-objective evolutionary algorithm NSGA-II and presents the Pareto solution selection method based on fuzzy objective preference and distributing distance of the allocated objects. Finally, a TBM cutter layout example is given to verify the proposed model and method.
(3) Another design method of TBM cutter layout is studied, which is based on fuzzy logic reasoning and evolutionary algorithm. In this methd, the fuzzy logic reasoning is used to express expert experience rule knowledge, imitate the expert reasoning process and obtain the layout districts of the allocated objects. The reasoning outcome corresponds to a fuzzy layout scheme and is input into evolutionary algorithm to evolve with the evolutionary computing programs so as to obtain better design scenarios. Finally, a TBM cutter layout example is given to verify the proposed method.
(4) Taking the local redesign of TBM cutterhead responding to unanticipated changes of geological environment as example, the adaptable local redesign issue of existing equipment (ALRE~2) responding to unanticipated environment change is studied. The characteristic of ALRE~2 is to make adaptable local change design (including adding on new function components) on the basis of existing equipment architecture. The design objectives are to adapt existing equipment to new external environment so as to meet current expected performance requirements. The key issue of ALRE~2 is how to solve the architecture coupling contradiction of existing equipment. The design strategies of ALRE~2 are proposed. The key elements of ALRE~2 are discussed including new function derivation, function-structure analysis, structure change propagation prediction, coupling contradiction elimination and change design decision of the equipment. A design decision model of adding on diagnostics subsystem for equipment is proposed.
In practice, Tunnel Boring Machine is large and key equipment, which relates to the national geology secret. Most TBMs are imported or cooperatively produced in our country. It is urgent to master the design technology with independent intellectual copyright. The cutterhead design is one of the key technologies of TBM. Thus it is of engineering application value to study TBM cutterhead design method, which matches with engineering practice. In theory, the research of cutterhead layout design method and ALRE~2 is helpful for promoting the research progress of TBM design theory and adaptable design responding to unanticipated environment.
引文
[1]王梦恕,李典璜,张镜剑等.岩石隧道掘进机(TBM)施工及工程实例[M].北京:中国铁道出版社,2004.
[2]张镜剑,傅冰骏.隧道掘进机在我国应用的进展[J].岩石力学与工程学报,2007,26(2):226-238.[3]Reilly J,Arrigoni G,Xu S L et al.IBM及其在中国的应用(1)[J].现代隧道技术,2002,39(1):1-5.[4]张厚美.TBM的掘进性能数值仿真研究[J].隧道建设,2006,26(增2):1-7.[5]陈馈,李健斌.盾构国产化及其市场前景分析[J].建筑机械化,2006,(5):59-64.[6]崔图华,王国强,何恩光等.盾构机的研究现状及发展前景[J].矿山机械,2006,(6):24-27.[7]海瑞克的梦想中国[J].中国机电工业,2006,(6):20-22.[8]新华社.国务院关于加快振兴装备制造业的若干意见[EB/OL].http://www.gov.cn/jrzg/2006-06/29/content_322256.htm.2007-06-20.[9]乔世珊,茅承觉,刘春.全断面岩石掘进机[M].北京:石油工业出版社,2005.[10]杨媛媛,黄宏伟.围岩分类在TBM滚刀寿命预测中的应用[J].地下空间与工程学报,2005,1(5):721-724.
[11]万治昌,沙明元,周雁领.盘形滚刀的使用与研究(1)--TB880E型掘进机在秦岭隧道施工中的应用[J].现代隧道技术,2002,39(5):1-11.
[12]Thuro K,Plinninger R J.Hard rock tunnel boring,cutting,drilling and blasting:reek parameters for exeavatability[A].ISRM 2003-Technology roadmap for rock mechanics[el.Johannesburg,South African Institute of Mining and Metallurgy,2003:1227-1233.
[13]Palmstrom A.RMI- a rock mass characterization system for reek engineering purposes[D].Norwary:Oslo University,1995.
[14]Zhao J,Gong Q M,Eisensten Z.Tunnelling through a frequency changing and mixed ground:A ease history in Singapore[J].Tunnelling and Underground Space Technology,2007,22(4):388-400.
[15]钱七虎,李朝甫,傅德明.隧道掘进机在中国地下工程中应用现状及前景展望[J].地下空间,2002,22(1):1-11.
[16]何小新,吴庆鸣.全断面岩石掘进机主参数回归模型[J].武汉大学学报(工学版),2007,40(2):99-103,109.
[17]Rostami J,Ozdemir L.Computer modeling of mechanical excavators cutterhead[A].Proceedings of the World Reek Boring Association Conference[C].Sudbury,Ontario,Canada,1996.
[18]张照煌.掘进机刀盘上盘刀布置规律的探讨[J].工程机械,1996,27(7):24-25.
[19]霍军周,滕弘飞.全断面岩石掘进机刀具布置优化设计方法:中国,2007100121129[P].2007-07-20.
[20]查建中,唐晓君,陆一平.布局及布置设计问题求解自动化的理论与方法综述[J].计算机辅助设计与图形学学报,2002,14(8):705-712.
[21]钱志勤.滕弘飞.复杂布局设计问题的算法[J].中国机械工程.2002.13(8):696-1599.
[22]Kleinhans J M,Sigl G,Johannes F M et at.GORDIAN:VLSI placement by quadratic programming and slicing optimization[J].IEEE Transactions on CAD,1991,10(10):356-365.
[23]Cagan J,Shimada K,Yin S.A survey of computational approaches to three-dimensional layout problems[J].Computer Aided Design,2002,34(8):597-611.
[24]Grignon P M,Fadel G M.A GA based configuration design optimization method[J].Journal of Mechanical Design,2004,126(1):6-15.
[25]Faggioli E,Bentivoglio C A.Heuristic and exact methods for the cutting sequencing problem[J].European Journal of Operational Research,1998,110(3):564-575.
[26]Stoyan Y G,Yaskov G N.Mathematical model and solution method of optimization problem of placement of rectangles and circles taking into account special constraints[J].International Transactions in Operational Research,1998,5(1):45-57.
[27]王英林,吴惠中.空间布局的约束图方法[J].软件学报,1998,9(3):200-205.
[28]Lai K K,Xue J.Container packing in a multi-customer delivering operation[J],computers &Industrial Engineering,1998,35(1-2):323-326.
[29]李广强,滕弘飞.装填布局的同构和非同构模式[J].计算机学报,2003,26(10):1248-1254.
[30]孙守迁,唐明,潘云鹤.面向人机工程的布局设计方法的研究[J].计算机辅助设计与图形学学报,2000,12(11):870-872.
[31]Liu Z W,Teng H F.Human-Computer Cooperative Layout Design Method and Its Application[J].Computer & Industrial Engineering,2008,55(4):735-757.
[32]Beasley J E.An exact two-dimensional non-guillotine cutting tree search procedure[J].Operations Research,1985,33(1):49-64.
[33]Udy J J.Computation of interferences between three-dimensional objects and optimal packing problem[J].Advances in Engineering Software,1988,10(1):8-14.
[34]Dowsland K A.Efficient automated pallet loading[J].European Journal of Operational Research,1990,44(2):232-238.
[35]Leung J.A new graph-theoretic.for.facility layout[J].Management Science,1992,38(4):594-605.
[36]唐晓君,查建中,陆一平.布局问题的复杂性和建模方法[J].北方交通大学学报,2003,27(1):12-15.
[37]戴佐.三维布局中八叉树节点的快速分解算法[J].软件学报,1995,6(11):679-685.
[38]王金敏,查建中,王爱虎等.一种生成物体八叉树模型的新算法[J].河北工业大学学报,1996,25(2):16-22.
[39]Cagan J,Degentesh D,Su Yin.A simulated annealing-based algorithm using hierarchical models for general three-dimensional component layout[J].Computer-Aided Design,1998,30(10):781-790.
[40]Teng H F,Sun S L,Liu D Q et al.Layout optimization for the objects located within a rotating vessel-a three-dimensional packing problem with behavioral constraints[J].Computers &Operation Research,2001,28(6):521-535.
[41]Huang W Q,Yan K A.A heuristic quasi-physical strategy for solving disks packing problem[J].Simulation Modeling Practice & Theory,2002,10(3-4):195-207.
[42]Wu Y L,Huang W Q,Lau S C et al.An effective quasi-human based heuristic for solving the rectangle packing problem[j].European Journal of Operational Research,2002,141(2):341-358.
[43]袁苗龙,周济,张新访.三维几何布局的一类启发式求解算法[J].计算机学报,1999,22(9):923-930.
[44]Foulds L R,Tran H V.Library 1.ayo.ut via graph theory[J].Computers & Industrial Engineering,1986,10(3):245-252.
[45]Dai Z,Cha J Z.A hybrid algorithm of heuristic and neural network for packing problems[A].Proceedings of Conference on Design Automation[C].Minneapolis,USA,1994:117-124.
[46]Chung Y K.Application of a cascade BAM neural expert system to conceptual design for facility layout[J].Computers & Mathematics with Application,1999,37(1):95-110.
[47]Han S Y,Kim Y S,Lee T Yet al.A framework of concurrent process engineering with agent-based collaborative design strategies and its application on plant layout problem[J].Computers and Chemical Engineering,2000,24(2-7):1673-1679.
[48]ElBaz M A.A genetic algorithm for facility layout porblems of different manufacturing environments[J].Computers Industry Engineering,2004,47(2-3):233-246.
[49]Chwif L,Barretto M R P,Moscato L A.A solution to the facility layout problem using simulated annealing[J].Computers in Industry,1998,36(1-2):125-132.
[50]Tazawa I,Koakutsu S,Hirata H.An evolution optimization based on the immune system and its application to the VLSI floor-plan design problem[j].Electrical Engineering in Japan,1998,124(4):27-36.
[51]刘飞,孙明,李宁等.粒子群算法及基在布局优化中的应用[J].计算机工程与应用,2004,40(12):71-73.
[52]徐义春,肖人彬.用蚁群算法求解带平衡约束的圆形布局问题[J].控制与决策,2008,23(1):25-29.
[53]史彦军.复杂布局的协同差异演化方法研究[D].大连:大连理工大学,2005.
[54]Braun R D,Moore A A,Kroo I M.Collaborative approach to launch vehicle design[J].Journal of Spacecraft and Rockets,1997,34(4):478-486.
[55]Sun Z G Teng H F.Optimal layout design of a satellite module[J].Engineering Optimization,2003,35(6):513-529.
[56]Potter M A,De Jong K A.A cooperative coevolutionary approach to function optimization[A].Proceedings of the Third Conference on Parallel Problem Solving from Nature[C].Jerusalem,Israel,1994:249-257.
[57]霍军周.人机结合协同进化设计方法及其应用[D].大连:大连理工大学,2007.
[58]Smith K P,Heim J A.Virtual facility layout design:the value of an interactive three-dimensional representation[J].International Journal of Production Research,1999,37(17):3941-3957.
[59]钱志勤,滕弘飞,孙治国.人机交互的遗传算法及其在约束布局优化中的应用[J].计算机学报,2001,24(5):553-559.
[60]Dowsland K A,Dowsland W B.Solution approaches to irregular nesting problems[J].European Journal of Operations Research,1995,84(3):506-521.
[61]Lodi A,Martello S,Vigo D.Recent advances on two-dimensional bin packing problems[J].Discrete Applied Mathematics,2002,123(1-3):379-396.
[62]Schaffer J D.Optimization with vector evaluated genetic algorithms[A].Proceedings of the First International Conference on Genetic Algofithms[C].Lawrence Erlbaum Associates,1985:93-100.
[63]Goldberg D E.Genetic algorithm in search,optimization and machine Leaming[M].Boston,MA,USA:Addison-Wesley Longman Publishing Co.,Inc.,1989.
[64]Fonseca C M,Fleming P J.Genetic algorithms for multiobjective optimization:Formulation,discussion and generalization[A].Proceedings of the Fifth International Conference on Genetic Algorithms[C].San Mateo:Morgan Kauffraan Publishers,1993:416-423.
[65]Srinivas N,Deb K.Multiobjective optimization using nondominated sorting in genetic algorithms[J].Evolutionary Computation,1994,2(3):221-248.
[66]Hern J,Nafpliotis N,Goldberg D E.A niched Pareto genetic algorithm for multiobjective optimization[A].Proceedings of the First IEEE Conference on Evolutionary Computation[C].New Jersey:IEEE Press,1994:82-87.
[67]Knowles J,Come D.The Pareto archived evolution strategy:A new baseline algorithm for multiobjective optimisation[A].Congress on Evolutionary Computation[C].Washington:IEEE Press,1999:98-105.
[68]Deb K,Pratap A,Agarwal Set al..A fast and elitist multiobjective genetic algorithm:NSGA-Ⅱ[J].IEEE Transactions on Evolutionary Compuation,2002,6(2):182-197.
[69]Zitzler E,Thiele L.Multiobjective evolutionary algorithms:A comparative case study and the Strength Pareto approach[J].IEEE Transaction on Evolutionary Computation,1999,3(4):257-271.
[70]Zitzler E,Thiele L.Comparison of multiobjective evolutionary algorithms:Empirical results[J].Evolutionary Computation,2000,8(2):173-195.
[71]刘晓霞,谢里阳,陶泽等.柔性作业车间多目标调度优化研究[J].东北大学学报(自然科学版),2008,29(3):362-365.
[72]冯毅雄,谭建荣,李中凯等.基于多目标遗传优化的注射成型机性能设计[J].计算机集成制造系统,2008,14(6):1057-1062.
[73]蓝艇,刘士荣,顾幸生.基于进化算法的多目标优化方法[J].控制与决策,2006,21(6):601-605,611.
[74]谢友柏.现代设计与知识获取[J].中国机械工程,1996,7(6):36-41.
[75]Wood R M,Bauser S X S.Discussion of knowledge-based design[J].Journal of Aircraft,2002,39(6):1053-1060.
[76]殷国富,干静,胡晓兵等.面向信息时代的机械产品现代设计理论与方法研究进展[J].四川大学学报(工程科学版),2006,38(5):38-47.
[77]谭建荣,冯毅雄.设计知识建模、演化与应用[M].北京:国防工业出版社,2007.
[78]肖人彬,苏牧,周济.一种实现异构知识集成的新方法[J].华中理工大学学报,1999,27(2):4-6.
[79]谷建光,张为华,解红雨.实例与经验相结合的产品设计知识获取技术[J].计算机集成制造系统,2008,14(3):417-424.
[80]蔡延光,李崇祥.智能最优化系统功能分析与框架结构[J].湖北汽车工业学院学报,1999,13(2):30-34.
[81]Bonissone P P,Subbu R,Eklund Net al.Evolutionary algorithms+domain knowledge=reai-world evolutionary computation[J].IEEE Transaction on Evolutionary Computation.2006.10(3):256-280.
[82]赖朝安.基于知识融合的人机协同创新概念设计理论与系统研究[D].广州:华南理工大学,2003.
[83]邹纯稳,张树有,来建良.基于知识驱动的产品设计过程建模及应用研究[J].中国机械工程,2008,19(8):939-944.
[84]张建明,魏小鹏,滕弘飞.基于知识的机械产品概念设计启发式求解[J].中国机械工程,2006,17(13):1411-1416.
[85]冯毅雄,谭建荣,魏喆.基于知识进化的产品可重用设计方法[J].浙江大学学报(工学版),2008,42(6):909-912.
[86]王世伟.基于知识的产品配置建模、演化及其应用研究[D].杭州:浙江大学,2004.
[87]李海庆,殷国富,方辉.混合案例推理机制在变型设计中的应用[J].四川大学学报(工程科学版),2007.39(2):164-169.
[88]Jin B,Teng H F.Case-based evolutionary design approach for satellite module layout[J].Journal of Scientific and Industrial Research,2007,66(12):989-994.
[89]孙伟,袁长峰,高天一等.基于ANN支持产品设计过程的知识获取方法研究[J].大连理工大学学报,2007,47(2):190-195.
[90]Zhang B,Teng H F,Shi Y J.Layout optimization of satellite module using soft computing techniques[J].Applied Soft computing,2008,8(1):507-521.
[91]Saridakis K M,Dentsoras A J.Integration of frizzy logic,genetic algorithms and neural networks in collaborative parametric design[J].Advanced Engineering Informatics,2006,20(4):379-399.
[92]汤禹成,周雄辉,陈军.基于神经网络响应曲面的预锻模具形状优化与再设计方法[J].上海交通大学学报,2007,41(4):624-628.
[93]Saridakis K M,Dentsoras A J.Soft computing in engineering design- A review[J].Advanced Engineering Informatics,2008,22(2):202-221.
[94]Lenat D B,Feigenbaum E A.On the thresholds of knowledge[J].Artificial Intelligence,1991,47(1):185-230.
[95]钱学森,于景元,戴汝为.一个科学新领域-开放的复杂巨系统及其方法论[J].自然杂志,1990,13(1):3-10.
[96]路甬祥,陈鹰.人机一体化系统与技术-21世纪机械科学发展的方向[J].机械工程学报,1994,30(5):1-7.
[97]路甬祥,陈鹰.人机一体化系统科学体系和关键技术[J].机械工程学报,1995,31(1):1-7.
[98]Jones P M,Mitchell C M.Human-computer cooperative problem solving Ⅱ- A theory and an implementation[A].In IEEE Intemationai Conference on Systems,Man and Cybernetics[C].Oakland,1990:671-673.
[99]Millot P,Debernard S.Men-machines cooperative organizations:Methodological and practical attemps in air traffic control[J].Systems,Man and Cybernetics,1993:695-701.
[100]Woods D D,Roth E M,Bnett K.Explorations in joint human-machine cognitive systems[J].In Cognition,Computing and Cooperation,1990:123-158.
[101]戴汝为.“人机结合”大成智慧[J].模式识别与人工智能,1994,7(3):181-190.
[102]戴汝为.人-机结合的智能科学和智能工程[J].中国工程科学,2004,6(5):24-28.
[103]滕弘飞,王奕首,史彦军.人机结合的关键支持技术[J].机械工程学报,2006,42(10):1-8.
[104]Kosorukoff A.Human based genetic algorithm[A].IEEE International Conference on Systems,Man and Cybernetics[C].Tucson,2001:3464-3469.
[105]Fricke E,Gebhard B,Negele Het al.Coping with changes:Causes,findings and strategies[J].Systems Engineering,2000,3(4):169-179.
[106]刘清华,万立,钟毅芳.工程变更管理的分析与研究[J].计算机集成制造系统,2000,6(6):31-36.
[107]朱海平,王忠浩,李培根.基于PDM的工程变更管理研究[J].计算机集成制造系统,2003,9(7):537-541.
[108]Eckert C,Clarkson P J,Zanker W.Change and customisation in complex engineering domains[J].Research in Engineering Design,2004,15(1):1-21.
[109]Wright I C.A review of research into engineering change management:Implications for product design[J].Design Studies,1997,18(1):33-42.
[110]Schulz A P,Fricke E.Incorporating flexibility,agility,robustness,and adaptability within the design of integrated systems-key to sucecss[A].Proc IEEE/AIAA 18th Digital Avionics Syst Conf[C].St.Louis:IEEE,1999:l.A.2-1-1.A.2-8.
[111]Fricke E,Schulz A P.Design for changeability(DfC):Principles to enable changes in systems throughout their entire lifecycle[J].Systems Engineering,2005,8(4):342-359.
[112]Gu P,Hashemian M,Nee A Y C.Adaptable Design[J].Annals of CIRP,2004,53(1):1-19.
[113]Gu P.Adaptable design with flexible interface systems[j].Transactions of the SDPS,2004,8(3):61-74.
I114]Sand J C.AdaptEx:Adaptive design for the enhancement and extension of product life cycles[D].Calagary:University of Calagary,2005.
[115]章海峰,谭建荣,冯毅雄等.面向广义工程更改的产品模块划分方法研究[J].中国机械工程,2007,18(18):2227-2232.
[116]Sabin D,Weigel R.Product configuration frameworks-A survey[J].IEEE Intelligent Systems and Their Applications 1998,13(4):41-49.
[117]谭建荣,张树有,纪杨建等.集成环境下大批量定制的产品配置设计技术及其应用[J].中国机械工程,2004,15(19):1706-1708.
[118]Myung S,Han S.Knowledge-based parametric design of mechanical products based on configuration design method[J].Expert Systems with Applications,2001,21(2):99-107.
[119]李斌,陈立平,钟毅芳.基于多目标遗传算法的产品优化配置研究[J].中国机械工程,2004,15(20):1819-1822.
[120]Deciu E R,Ostrosi E,Ferney Met al.Configurable product design using multiple fuzzy models[J].Journal of Engineering Design,2005,16(2):209-235.
[121]Dahnus J B,Gonzale-Zugasti J P,Otto K N.Modular product architecture[J].Design Studies,2001,22(5):409-424.
[122]高卫国,徐燕申,陈永亮等.广义模块化设计原理及方法[J].机械工程学报,2007,43(6):48-55.
[123]Taguchi G,Elsayed E,Hsiang T.Quality engineering in production systems[M].New York McGraw-Hill,1989.
[124]张宝,滕弘飞.机械应急系统研究[J].中国机械工程,2003,14(10):888-891.
[125]Teng H F,Wang Y S,Zhang B.Emergency design framework:A satellite preliminary scheme design[J].Frontiers of Mechanical Engineering in China,2007,2(2):184-192.
[126]Cigla M,Yagiz S,Ozdemir L.Application of tunnel boring machines in underground mine development[A].Proceedings of the 17th International Mining Congress and Exhibition[C].Ankara,Turkey,2001.
[127]龚秋明,赵坚,张喜虎.岩石隧道掘进机的施工预测模型[J].岩石力学与工程学报,2004,23(增2):4709-4714.
[128]Gong Q M,Zhao J,Hefny A M.Numerical simulation of rock fragmentation process induced by two TBM cutters and cutter spacing optimization[J].Tunnelling and Underground Space Technology,2006,21(3-4):263.
[129]CSM computer model for TBM performance prediction[EB/OL].www.mines.edu...emipaperscomputer_modeling_for_mechanical_excavatorstbm_performance_pred iction.pdf.2006-8-25.
[130]Chiaia B.Fracture mechanisms induced in a brittle material by a hard cutting indenter[J].International Journal of Solids and Structures,2001,38(44-45):7747-7768.
[131]Liu H Y,Kou S Q,Lindqvist C Aet al.Numerical simulation of the rock fragmentation process induced by indenters[J].International Journal of Rock Mechanics and Mining Sciences &Geomechanics Abstracts,2002,39(4):491-505.
[132]Gong Q M,Jiao Y Y,Zhao J.Numerical modelling of the effects of joint spacing on rock fragmentation by TBM cutters[J].Tunnelling and Underground Space Technology,2005,21(1):46-55.
[133]Gong Q M,Zhao J,Jiao Y Y.Numerical modelling of the effects of joint orientation on rock fragmentation by TBM cutters[J].Tunnelling and Underground Space Technology,2005,20(2):183-191.
[134]Rostami J,Ozdemir L.A new model for performance prediction of hard rock TBMs[A].Proceedings of Rapid Excavation and Tunneling Conference(RETC)[C].Boston,USA,1993:793-809.
[135]Gertsch R E.Rock toughness and disc cutting[D].Missouri:University of Missouri-Rolla,2000.
[136]Tuncdemir H,Bilgin N,Copur H et al.Control of rock cutting efficiency by muck size[J].International Journal of Rock Mechanics and Mining Sciences,2008,45(2):278-288.
[137]Chang S H,Choi S W,Bae G J et al.Performance prediction of TBM disc cutting on granitic rock by the linear cutting test[J].Tunnelling and Underground Space Technology,2006,21(3-4):271.
[138]张照煌,叶定海,赵庆玉.岩石掘进机刀间距的确定及分析[J].工程机械,2002,33(11):11-12.
[139]Ozdemir L,Miller R,Wang F D.Mechanical tunnel boring prediction and machine design[R].Colorado:Colorado School of Mines,1977.
[140]Moon t.A computational methodology for modeling rock cutting with a discrete element method:Prediction of TBM rock cutting performance[D].Colorado:Colorado School of Mines,2006.
[141]Gertsch R,Gertsch L,Rostami J.Disc cutting tests in Colorado Red Granite:Implications for TBM performance prediction[J].International Journal of Rock Mechanics and Mining Sciences,2007,44(2):238-246.
[142]Cigla M,Ozdemir L.Computer modeling for improved production of mechanical excavators[A].Society for Mining,Metallurgy and Exploration(SME) Annual Meeting[C].Salt Lake City,2000.
[143]Okubo S,Fukui K,Chert W.Expert system for applicability of tunnel boring machines in Japan[J].Rock Mechanics and Rock Engineering,2003.36(4):305-322.
[144]沈明荣,陈建峰.岩体力学[M].上海:同济大学出版社,2006.
[145]徐则民,黄润秋,张倬元.TBM刀具设计中围岩力学参数的选择[J].岩石力学与工程学报,2001,20(2):230-234.
[146]Gong Q M,Zhao J,Jiang Y S.In situ TBM penetration tests and rock mass boreability analysis in hard rock tunnels[J].Tunnelling and Underground Space Technology,2007,22(3):303-316.
[147]Yagiz S.Development of rock fracture and brittleness indices to quantify the effects of rock mass features and toughness in the CSM model basic penetration for hard rock tunneling machines[D].Colorado:Colorado School of Mines,2002.
[148]赵维刚,刘明月,杜彦良等.全断面隧道掘进机刀具异常磨损的识别分析[J].中国机械工程,2007,18(2):150-153.
[149]Bruland A.Hard rock tunnel boring[D].Trondheim:Norwegian University of Science and Technology,1998.
[150]Nilsen B,Ozdemir L.Hard rock tunnel boring prediction and field performance[A].Proceedings of Rapid Excavation and Tunneling Conference(RETC)[C].Boston,USA,1993:833-852.
[151]Rostami J,Ozdemir L,Nilson B.Comparison between CSM and NTH hard rock "IBM performance prediction models[A].Proceedings of Institute of Shaft Drilling Technology(ISDT) annual Technical Conference'96[C].Las Vegas,NY,1996.
[152]宋克志,袁大军,王梦恕。盘形滚刀与岩石相互作用研究综述[J].铁道工程学报,2005,(6):66-69,92.
[153]Rostami.Design optimization,performance prediction,and the economic analysis of "IBM application for the construction of proposed Yucca Mountain nuclear waste repository[D].Colorado:Colorado School of Mines,1991.
[154]Roxborough F F,Phillips H R.Rock excavation by disc cutter[J].International Journal of Rock Mechanics and Mining Sciences & Geomechanies Abstracts,1975,12(12):361-366.
[155]Rostami J,Gertsch R,Gertseh L.Rock fragmentation by disc cutter:A critical review and an update[A].Proceedings of the North American Rock Mechanics Symposium(NARMS)-Tunneling Association of Canada(TAC) Meeting[C].Toronto,Canada,2002.
[156]Grima M A,Bruines P A,Verhoef P N W.Modeling tunnel boring machine performance by Neuro-Fuzzy Methods[J].Tunneling and Underground space Technology,2000,15(3):259-269.
[157]Howarth D F.Database of TBM projects undertaken between 1950 and 1990 and an assessment of associated ground-strength limitations[J].Tunnelling and Underground Space Technology,1994,9(2):209-213.
[158]吴庆鸣,张志强.基于KBE的隧道掘进机主机智能设计系统[J].中国机械工程,2006,17(4):331-333.
[159]Tsai C Y,Chiu C C.A case-based reasoning system for PCB principal process parameter identification[J].Expert Systems with Applications,2007,32(4):1183-1193.
[160]Schank R.Dynamic memory:A theory of learning in computers[M].New York:People Cambridge University Press,1982.
[161]Watson I.Case-based reasoning is a methodology not a technology[J].Knowledge-Based Systems,1999,12(5-6):303-308.
[162]Riesbeck C K,Sehank R.Inside ease-based reasoning[M].New Jersey,USA:Lawrence Edbaum Associates,1989.
[163]Slonim T Y,Schneider M.Design issues in fttzzy case-based reasoning[J].Fuzz,Sets and Systems,2001,117(2):251-267.
[164]王遵彤,刘战强,艾兴.高速切削中实例相似度及其应用的研究[J].计算机集成制造系统,2005,11(5):721-726.
[165]秦玉平,杨兴凯.基于案例推理的区间属性相似度研究[J].辽宁师范大学学报(自然科学版),2006,29(4):442-445.
[166]Golobardes E,Llora X,Salam6 et al.Computer aided diagnosis with ease-based reasoning and genetic algorithms[J].Knowledge-Based Systems,2002,15(1-2):45-52.
[167]Chang P C,Liu C H,Lai R K.A fuzzy ease-based reasoning model for sales forecasting in print circuit board industries[J].Expert Systems with Applications,2008,340):2049-2058.
[168]钟诗胜,李江,王泉龙等.基于实例的大型水轮机结构投标方案设计[J].计算机集成制造系统,2004.10(6):709-713.
[169]Jiang Y J,Chen J,Ruan X Y.Fuzzy similarity-based rough set method for case-based reasoning and its application in tool selection[j].International Journal of Machine Tools and Manufacture,2006,46(2):107-113.
[170]Ahn H,Kim K J,Han I.A ease-based reasoning system with the two-dimensional reduction technique for customer classification[J].Expert Systems with Applications,2007,32(4):1011-1019.
[171]Park Y J,Kim B C,Chun S H.New knowledge extraction technique using probability for ease-based reasoning:Application to medical diagnosis[J].Expert Systems,2006,23(1):2-20.
[172]常春光,崔建江,汪定伟等.案例推理中案例调整技术的研究[J].系统仿真学报,2004,16(6):1260-1265,1283.
[173]周凯波,冯珊,李锋.基于案例属性特征的相似度计算模型研究[J].武汉理工大学(信息与管理工程版),2003,25(1):24-27.
[174]徐雷.基于知识的计算机辅助夹具设计支持技术研究[D].成都:四川大学,2006.
[175]Vong C M,Leung T P,Wong P K.Case-based reasoning and adaptation in hydraulic production machine design[J].Engineering Application of Artificial Intelligence,2002,15(6):567-585.
[176]刘有源,郑建辉,陈定方.智能设计中初始设计实例的生成算法研究[J].机械设计与制造工程,2003,20(7):11-13.
[177]钟诗胜.工程方案设计中的模糊理论与技术[M].哈尔滨:哈尔滨工业大学出版社,2000.
[178]张照煌,李福田.全断面隧道掘进机施工技术[M].北京:中国水利水电出版社,2006.
[179]宋克志,王本福.隧道掘进机盘形滚刀的工作原理分析[J].建筑机械,2007,(4):71-74.
[180]Bruland A.Future demands and development trends[C].Norwegian TBM Tunnelling,Oslo,1998:99-103.
[181]霍军周,史彦军,滕弘飞等.全断面岩石掘进机刀具布置设计方法[J].中国机械工程,2008,19(15):1832-1836.
[182]CSM.http://www.mines.edu/Academic/mining/research/emi/index.htm.2008-6-20.
[183]Steuer R E.Multiple criteria optimization:Theory,computation and application[M].New York:John Wiley & Sons,1985.
[184]郑金华.多目标进化算法及其应用[M].北京:科学出版社,2007.
[185]Coello C A C,Van Veldhuizen D A,Lamont(3 B.Evolutionary Algorithms for Solving Multi-Objective Problems[M].New York:Kluwer Academic Publishers,2002.
[186]Coello C A C.Handling preferences in evolutionary multiobjective optimization:A survey[A].Proceedings of the 2000 Congress on Evolutionary Computation[C].New Jersey:IEEE Service Center,2000:30-37.
[187]Abido M A.A niched Pareto genetic algorithm for multiobjective environmental/economic dispatch[J].Electrical Power and Energy Systems,2003,25(2):97-105.
[188]滕弘飞,刘峻,王秀梅等.一种矩形的动态不干涉算法[J].中国图象图形学报,2001,6(3):259-264.
[189]霍军周,史彦军,滕弘飞.卫星舱布局CAD系统:干涉计算和质量特性计算[J].计算机辅助设计与图形学学报,2007,19(9):1218-1222.
[190]Wolpert D H,Macready W(3.No free lunch theorems for optimization[J].IEEE Transactions On Evolutionary Computation,1997,1(1):67-82.
[191]Zadeh L A.Soft computing and fuzzy logic[J].IEEE Software,1994,11(6):48-56.
[192]Bonissone P P.Soft computing:The convergence of emerging reasoning technologies[J].Soft Computing-A Fusion of Foundations,Methodologies and Applications,1997,1(1):6-18.
[193]Oduguwa V,Roy R,Farrugia D.Development of a soft computing-based framework for engineering design optimisation with quantitative and qualitative search spaces[J].Applied Soft Computing,2007,7(1):166-188.
[194]Lenat D B,Feigenbaum E A.On the thresholds of knowledge[A].Proceedings of the International Workshop on Artificial Intelligence for Industrial Applications[C].Oakland,1988:291-300.
[195]Sachdev S,Paredis C J J,Gupta S K et al.3D Spatial Layouts Using A-Teams[A].Proceedings of ASME 24th Design Automation Conference[C].Atlanta,Georgia,USA,1998.
[196]Park Y J,Kim B C.An interactive case-based reasoning method considering proximity from the cut-off point[J].Expert Systems with Applications,2007,33(4):903-915.
[197]Subbu R,Bonissone P P.A retrospective view of fuzzy control of evolutionary algorithm resources[A].The IEEE Internatiofial Conference on Fuzzy Systems[C].IEEE,2003:143-148.
[198]Antonsson E K,Wood K L.Computations with imprecise parameters in engineering design:Background and theory[J].ASME Journal of Mechanisms,Transmissions,and Automation in Design,1989,111(4):616-625.
[199]Medaglia A L,Fang S C,Nuttle H L W.Fuzzy controlled simulation optimization[J].Fuzzy Sets and Systems,2002,127(1):65-84.
[200]Roy R.Adaptive search and the preliminary design of gas turbine blade cooling system[D].Plymouth:University of Plymouth,1997.
[201]Pal T,Pal N R.SOGARG:A self-organized genetic algorithm-based rule generation scheme for fuzzy controller[J].IEEE Transaction on Evolutionary Computation,2003,7(4):397-415.
[202]Timothy J Ross著.,钱同惠等译.模糊逻辑及其工程应用[M].北京:电子工业出版社,2001.
[203]Roychowdhury S,Pedrycz W.A survey of defuzzification strategies[J].International Journal of Intelligent Systems,2001,16(6):679-695.
[204]刘竣,滕弘飞,屈福政.人机交互遗传算法的人机界面[J].大连理工大学学报,2005,45(1):58-63.
[205]曾威,史彦军。滕弘飞.卫星舱布局CAD系统:Pro/Engineer二次开发若干关键技术[J].计算机辅助设计与图形学学报,2005,17(1 1):2575-2579.
[206]Mahalanabis A K.Introductorysystem engineering[M].New York:Wiley,1982.
[207]Wheelwright S,Clark K.Revolutionizing product development[M].New York:The Free Press,1992.
[208]Jordan N C,Saleh J H,Newman D J.The extravehicular mobility unit:A review of environment,requirements,and design changes in the US spacesuit[J].Acta Austronautica,2006,59(12):1135-1145.
[209]Eckert C,Clarkson P J,Zanker W.Change and customisation in complex engineering domains[Y].Research in Engineering Design,2004 15(1):1-21.
[210]滕弘飞,王奕首,张宝.应急设计框架:卫星总体方案设计[J].大连理工大学学报,2006,46(2):210-227.
[211]Reynerson C M.Developing an efficient Space System Rapid Design Center[A].IEEE Proceedings of Aerospace Conference[C].Big Sky,MT,USA:IEEE,2001:3522
[212]Esper J,Andary J,Oberright Jet al.Modular,reconfigurable,and rapid response space system:the remote sensing advanced technology microsatellite[A].AIAA 2nd Responsive Space Conference 2004[C].2004:AIAA-RS2 2004-3002.
[213]Ullman D G.The Mechanical Design Process[M].London:McGraw-Hill,2002.
[214]Kalay Y E.Performance-based design[J].Automation in Construction,1999,8(3):395-409.
[215]谢友柏.产品的性能特征与现代设计[J].中国机械工程,2000,11(1-2):26-32.
[216]魏喆,谭建荣,冯毅雄.广义性能驱动的机械产品方案设计方案[J].机械工程学报,2008,44(5):1-10.
[217]Subramanyam S,Crowe K E.Rapid design of heat sinks for electronic cooling using computational and experimental tools[A].IEEE Semiconductor Thermal Measurement and Management Symposium[C].Oakland:IEEE,2000:243-251.
[218]Bi Z M,Zhang W J.Concurrent optimal design of modular robotic configuration[J].Journal of Robotic System,2001,18(2):77-87.
[219]Silveira G D,Borenstein D F,Fogliatto S.Mass customization:Literature review and research directions[J].International Journal of Production Economics,2001,72(1):1-13.
[220]Huang G Q,Mak K L.Web-based collaborative conceptual design[J].Journal of Engineering Design,1999,10(2):183-194.
[221]Liu Z J,Chert W,Huang H Z et al.A diagnostics design decision model for products under warranty[J].International Journal of Production Economics,2007,109(1-2):230-240.
[222]冯毅雄,程锦,谭建荣等.面向大批量定制的配置产品变型设计[J].浙江大学学报(工学版),2007,41(2):315-318.
[223]马明旭,王成恩,张嘉易等.复杂产品多学科设计优化技术[J].机械工程学报,2008,44(61:15-26.
[224]Wiegand R P.An analysis of cooperative coevolutionary algorithms[D].Fairfax,Virginia:George Mason University,2003.
[225]来可伟,殷国富.并行设计[M].北京:机械工业出版社,2003.
[226]谭建荣,刘振宇.数字样机:关键技术与产品应用[M].北京:机械工业出版社,2007.
[227]Altshuller O.The Innovation Algorithm,TRIZ,Systematic Innovation and Technical Creativity[M].Worcester Technical Innovation Center,INC,1999.
[228]Sub N P.Axiomatic Design[M].New York:Oxford University Press,2001.
[229]Huang S C,Lin C A.Sensitivity analysis and optimization of undamped rotor critical speeds to supports stiffness[J].Transactions of the ASME,2002,124(2):296-301.
[230]Browning T R.Applying the design structure matrix to system decomposition and integration problems:A review and new directions[J].IEEE Transactions on Engineering Management,2001,48(3):292-306.
[231]Pahl(3,Beitz W.Engineering design- a systematic approach[M].London:Sringer-Verlag,2000.
[232]Tan R H,Cao G Z,Zhang R H.The function model for existing product using reverse fishbone diagram[J].The TRIZ Journal.2003,11.
[233]檀润华.发明问题解决理论[M].北京:科学出版社,2004.
[234]Eckert C M,Keller R,Earl C F et al.Supporting change processes in design:Complexity,prediction and reliability[J].Reliability Engineering & Safety Systems,2006,19(12):1521-1534.
[235]Clarkson P J,Simons C,Eckert C.Predicting change propagation in complex design[J].ASME Journal of Mechanical Design,2004,126(5):788-797.
[236]Steward D.The design structure system:A method for managing the design of complex systems[J].IEEE Transactions on Engineering Management,1981,28(3):71-74.
[237]陈以增,唐加福,侯荣涛等.基于质量屋的产品设计过程[J].计算机集成制造系统-CIMS,2002,8(10):757-761.
[238]Suh N P著.谢友柏等译.公理设计:发展与应用[M].北京:机械工业出版社,2004.
[239]Wang O G.Definition and review of virtual prototyping[J].Journal of Computing and Information Science in Engineering,Transactions of ASME,2002,2(3):222-236.
[240]Kodiyalam S,Sobieszcza-Sobieski J.Multidiseiplinary design optimization-some formal methods,framework requirements,and application to vehicle design[J].Journal of Vehicle Design,2001,25(1-2):3-22.
[241]Noor A K,Havskjold G,Mavris D et al.Innovative Design of Complex Engineering Systems[A].Proceedings of the training workshop on Innovative Design of Complex Engineering Systems[C].Hampton:NASA,2004:NASA/CP-2004-213244.
[242]钟掘.复杂机电系统耦合设计理论与方法[M].北京:机械工业出版社,2007.
[243]Roser C,Kazmer D,Rinderle J.An eeononne design Change memod[J].Journal of Mecnanical Design,2003,125(2):233-239.
[244]Venkatasubramanian V.Prognostic and diagnostic monitoring of complex systems for product lifecycle management:Challenges and opportunities[J].Computers and Chemical Engineering,2005,29(6):1253-1263.
[245]Murthy D N P,Djamaludin I.New product warranty:A literature review[J].International Journal of Production Economies,2002,79(3):231-260.
[246]Blischke W R,Murthy D N P.Product Warranty Handbook[M].New York:Marcel Dekker,Ine,1996.
[247]Thomas M U,Rao S S.Warranty economic decision models:A summary and some suggested directions for future research[J].Operations Research,1997,47(6):807-820.
[248]Hussain A Z M O,Murthy D N P.Warranty and optimal reliability improvement through product development[J].Mathematical and Computer Modelling,2003,38(11):1211-1217.
[249]Mi J.Warranty policies and bum-in[J].Naval Research Logistics,1997,44(2):199-209.
[250]Murthy D N P,Blischke W R.Warranty Management and Product Manufacture[M].London:Springer-Verlag,2006.
[251]Blisehke W R,Murthy D N P.Warranty Cost Analysis[M].New York:Marcel Dekker,Ine,1994.
[252]Kao E P C.随机过程导论(英文版)[M].北京:机械工业出版社,2003.
[253]Kakouros S,Cargille B,Esterman M.Reinventing warranty at liP:An engineering approach to warranty[J].Quality and Reliability Engineering International,2003,19(1):21-30.
[254]权太范.信息融合:神经网络-模糊推理理论与应用[M].北京:国防工业出版社,2002.
[2]张镜剑,傅冰骏.隧道掘进机在我国应用的进展[J].岩石力学与工程学报,2007,26(2):226-238.[3]Reilly J,Arrigoni G,Xu S L et al.IBM及其在中国的应用(1)[J].现代隧道技术,2002,39(1):1-5.[4]张厚美.TBM的掘进性能数值仿真研究[J].隧道建设,2006,26(增2):1-7.[5]陈馈,李健斌.盾构国产化及其市场前景分析[J].建筑机械化,2006,(5):59-64.[6]崔图华,王国强,何恩光等.盾构机的研究现状及发展前景[J].矿山机械,2006,(6):24-27.[7]海瑞克的梦想中国[J].中国机电工业,2006,(6):20-22.[8]新华社.国务院关于加快振兴装备制造业的若干意见[EB/OL].http://www.gov.cn/jrzg/2006-06/29/content_322256.htm.2007-06-20.[9]乔世珊,茅承觉,刘春.全断面岩石掘进机[M].北京:石油工业出版社,2005.[10]杨媛媛,黄宏伟.围岩分类在TBM滚刀寿命预测中的应用[J].地下空间与工程学报,2005,1(5):721-724.
[11]万治昌,沙明元,周雁领.盘形滚刀的使用与研究(1)--TB880E型掘进机在秦岭隧道施工中的应用[J].现代隧道技术,2002,39(5):1-11.
[12]Thuro K,Plinninger R J.Hard rock tunnel boring,cutting,drilling and blasting:reek parameters for exeavatability[A].ISRM 2003-Technology roadmap for rock mechanics[el.Johannesburg,South African Institute of Mining and Metallurgy,2003:1227-1233.
[13]Palmstrom A.RMI- a rock mass characterization system for reek engineering purposes[D].Norwary:Oslo University,1995.
[14]Zhao J,Gong Q M,Eisensten Z.Tunnelling through a frequency changing and mixed ground:A ease history in Singapore[J].Tunnelling and Underground Space Technology,2007,22(4):388-400.
[15]钱七虎,李朝甫,傅德明.隧道掘进机在中国地下工程中应用现状及前景展望[J].地下空间,2002,22(1):1-11.
[16]何小新,吴庆鸣.全断面岩石掘进机主参数回归模型[J].武汉大学学报(工学版),2007,40(2):99-103,109.
[17]Rostami J,Ozdemir L.Computer modeling of mechanical excavators cutterhead[A].Proceedings of the World Reek Boring Association Conference[C].Sudbury,Ontario,Canada,1996.
[18]张照煌.掘进机刀盘上盘刀布置规律的探讨[J].工程机械,1996,27(7):24-25.
[19]霍军周,滕弘飞.全断面岩石掘进机刀具布置优化设计方法:中国,2007100121129[P].2007-07-20.
[20]查建中,唐晓君,陆一平.布局及布置设计问题求解自动化的理论与方法综述[J].计算机辅助设计与图形学学报,2002,14(8):705-712.
[21]钱志勤.滕弘飞.复杂布局设计问题的算法[J].中国机械工程.2002.13(8):696-1599.
[22]Kleinhans J M,Sigl G,Johannes F M et at.GORDIAN:VLSI placement by quadratic programming and slicing optimization[J].IEEE Transactions on CAD,1991,10(10):356-365.
[23]Cagan J,Shimada K,Yin S.A survey of computational approaches to three-dimensional layout problems[J].Computer Aided Design,2002,34(8):597-611.
[24]Grignon P M,Fadel G M.A GA based configuration design optimization method[J].Journal of Mechanical Design,2004,126(1):6-15.
[25]Faggioli E,Bentivoglio C A.Heuristic and exact methods for the cutting sequencing problem[J].European Journal of Operational Research,1998,110(3):564-575.
[26]Stoyan Y G,Yaskov G N.Mathematical model and solution method of optimization problem of placement of rectangles and circles taking into account special constraints[J].International Transactions in Operational Research,1998,5(1):45-57.
[27]王英林,吴惠中.空间布局的约束图方法[J].软件学报,1998,9(3):200-205.
[28]Lai K K,Xue J.Container packing in a multi-customer delivering operation[J],computers &Industrial Engineering,1998,35(1-2):323-326.
[29]李广强,滕弘飞.装填布局的同构和非同构模式[J].计算机学报,2003,26(10):1248-1254.
[30]孙守迁,唐明,潘云鹤.面向人机工程的布局设计方法的研究[J].计算机辅助设计与图形学学报,2000,12(11):870-872.
[31]Liu Z W,Teng H F.Human-Computer Cooperative Layout Design Method and Its Application[J].Computer & Industrial Engineering,2008,55(4):735-757.
[32]Beasley J E.An exact two-dimensional non-guillotine cutting tree search procedure[J].Operations Research,1985,33(1):49-64.
[33]Udy J J.Computation of interferences between three-dimensional objects and optimal packing problem[J].Advances in Engineering Software,1988,10(1):8-14.
[34]Dowsland K A.Efficient automated pallet loading[J].European Journal of Operational Research,1990,44(2):232-238.
[35]Leung J.A new graph-theoretic.for.facility layout[J].Management Science,1992,38(4):594-605.
[36]唐晓君,查建中,陆一平.布局问题的复杂性和建模方法[J].北方交通大学学报,2003,27(1):12-15.
[37]戴佐.三维布局中八叉树节点的快速分解算法[J].软件学报,1995,6(11):679-685.
[38]王金敏,查建中,王爱虎等.一种生成物体八叉树模型的新算法[J].河北工业大学学报,1996,25(2):16-22.
[39]Cagan J,Degentesh D,Su Yin.A simulated annealing-based algorithm using hierarchical models for general three-dimensional component layout[J].Computer-Aided Design,1998,30(10):781-790.
[40]Teng H F,Sun S L,Liu D Q et al.Layout optimization for the objects located within a rotating vessel-a three-dimensional packing problem with behavioral constraints[J].Computers &Operation Research,2001,28(6):521-535.
[41]Huang W Q,Yan K A.A heuristic quasi-physical strategy for solving disks packing problem[J].Simulation Modeling Practice & Theory,2002,10(3-4):195-207.
[42]Wu Y L,Huang W Q,Lau S C et al.An effective quasi-human based heuristic for solving the rectangle packing problem[j].European Journal of Operational Research,2002,141(2):341-358.
[43]袁苗龙,周济,张新访.三维几何布局的一类启发式求解算法[J].计算机学报,1999,22(9):923-930.
[44]Foulds L R,Tran H V.Library 1.ayo.ut via graph theory[J].Computers & Industrial Engineering,1986,10(3):245-252.
[45]Dai Z,Cha J Z.A hybrid algorithm of heuristic and neural network for packing problems[A].Proceedings of Conference on Design Automation[C].Minneapolis,USA,1994:117-124.
[46]Chung Y K.Application of a cascade BAM neural expert system to conceptual design for facility layout[J].Computers & Mathematics with Application,1999,37(1):95-110.
[47]Han S Y,Kim Y S,Lee T Yet al.A framework of concurrent process engineering with agent-based collaborative design strategies and its application on plant layout problem[J].Computers and Chemical Engineering,2000,24(2-7):1673-1679.
[48]ElBaz M A.A genetic algorithm for facility layout porblems of different manufacturing environments[J].Computers Industry Engineering,2004,47(2-3):233-246.
[49]Chwif L,Barretto M R P,Moscato L A.A solution to the facility layout problem using simulated annealing[J].Computers in Industry,1998,36(1-2):125-132.
[50]Tazawa I,Koakutsu S,Hirata H.An evolution optimization based on the immune system and its application to the VLSI floor-plan design problem[j].Electrical Engineering in Japan,1998,124(4):27-36.
[51]刘飞,孙明,李宁等.粒子群算法及基在布局优化中的应用[J].计算机工程与应用,2004,40(12):71-73.
[52]徐义春,肖人彬.用蚁群算法求解带平衡约束的圆形布局问题[J].控制与决策,2008,23(1):25-29.
[53]史彦军.复杂布局的协同差异演化方法研究[D].大连:大连理工大学,2005.
[54]Braun R D,Moore A A,Kroo I M.Collaborative approach to launch vehicle design[J].Journal of Spacecraft and Rockets,1997,34(4):478-486.
[55]Sun Z G Teng H F.Optimal layout design of a satellite module[J].Engineering Optimization,2003,35(6):513-529.
[56]Potter M A,De Jong K A.A cooperative coevolutionary approach to function optimization[A].Proceedings of the Third Conference on Parallel Problem Solving from Nature[C].Jerusalem,Israel,1994:249-257.
[57]霍军周.人机结合协同进化设计方法及其应用[D].大连:大连理工大学,2007.
[58]Smith K P,Heim J A.Virtual facility layout design:the value of an interactive three-dimensional representation[J].International Journal of Production Research,1999,37(17):3941-3957.
[59]钱志勤,滕弘飞,孙治国.人机交互的遗传算法及其在约束布局优化中的应用[J].计算机学报,2001,24(5):553-559.
[60]Dowsland K A,Dowsland W B.Solution approaches to irregular nesting problems[J].European Journal of Operations Research,1995,84(3):506-521.
[61]Lodi A,Martello S,Vigo D.Recent advances on two-dimensional bin packing problems[J].Discrete Applied Mathematics,2002,123(1-3):379-396.
[62]Schaffer J D.Optimization with vector evaluated genetic algorithms[A].Proceedings of the First International Conference on Genetic Algofithms[C].Lawrence Erlbaum Associates,1985:93-100.
[63]Goldberg D E.Genetic algorithm in search,optimization and machine Leaming[M].Boston,MA,USA:Addison-Wesley Longman Publishing Co.,Inc.,1989.
[64]Fonseca C M,Fleming P J.Genetic algorithms for multiobjective optimization:Formulation,discussion and generalization[A].Proceedings of the Fifth International Conference on Genetic Algorithms[C].San Mateo:Morgan Kauffraan Publishers,1993:416-423.
[65]Srinivas N,Deb K.Multiobjective optimization using nondominated sorting in genetic algorithms[J].Evolutionary Computation,1994,2(3):221-248.
[66]Hern J,Nafpliotis N,Goldberg D E.A niched Pareto genetic algorithm for multiobjective optimization[A].Proceedings of the First IEEE Conference on Evolutionary Computation[C].New Jersey:IEEE Press,1994:82-87.
[67]Knowles J,Come D.The Pareto archived evolution strategy:A new baseline algorithm for multiobjective optimisation[A].Congress on Evolutionary Computation[C].Washington:IEEE Press,1999:98-105.
[68]Deb K,Pratap A,Agarwal Set al..A fast and elitist multiobjective genetic algorithm:NSGA-Ⅱ[J].IEEE Transactions on Evolutionary Compuation,2002,6(2):182-197.
[69]Zitzler E,Thiele L.Multiobjective evolutionary algorithms:A comparative case study and the Strength Pareto approach[J].IEEE Transaction on Evolutionary Computation,1999,3(4):257-271.
[70]Zitzler E,Thiele L.Comparison of multiobjective evolutionary algorithms:Empirical results[J].Evolutionary Computation,2000,8(2):173-195.
[71]刘晓霞,谢里阳,陶泽等.柔性作业车间多目标调度优化研究[J].东北大学学报(自然科学版),2008,29(3):362-365.
[72]冯毅雄,谭建荣,李中凯等.基于多目标遗传优化的注射成型机性能设计[J].计算机集成制造系统,2008,14(6):1057-1062.
[73]蓝艇,刘士荣,顾幸生.基于进化算法的多目标优化方法[J].控制与决策,2006,21(6):601-605,611.
[74]谢友柏.现代设计与知识获取[J].中国机械工程,1996,7(6):36-41.
[75]Wood R M,Bauser S X S.Discussion of knowledge-based design[J].Journal of Aircraft,2002,39(6):1053-1060.
[76]殷国富,干静,胡晓兵等.面向信息时代的机械产品现代设计理论与方法研究进展[J].四川大学学报(工程科学版),2006,38(5):38-47.
[77]谭建荣,冯毅雄.设计知识建模、演化与应用[M].北京:国防工业出版社,2007.
[78]肖人彬,苏牧,周济.一种实现异构知识集成的新方法[J].华中理工大学学报,1999,27(2):4-6.
[79]谷建光,张为华,解红雨.实例与经验相结合的产品设计知识获取技术[J].计算机集成制造系统,2008,14(3):417-424.
[80]蔡延光,李崇祥.智能最优化系统功能分析与框架结构[J].湖北汽车工业学院学报,1999,13(2):30-34.
[81]Bonissone P P,Subbu R,Eklund Net al.Evolutionary algorithms+domain knowledge=reai-world evolutionary computation[J].IEEE Transaction on Evolutionary Computation.2006.10(3):256-280.
[82]赖朝安.基于知识融合的人机协同创新概念设计理论与系统研究[D].广州:华南理工大学,2003.
[83]邹纯稳,张树有,来建良.基于知识驱动的产品设计过程建模及应用研究[J].中国机械工程,2008,19(8):939-944.
[84]张建明,魏小鹏,滕弘飞.基于知识的机械产品概念设计启发式求解[J].中国机械工程,2006,17(13):1411-1416.
[85]冯毅雄,谭建荣,魏喆.基于知识进化的产品可重用设计方法[J].浙江大学学报(工学版),2008,42(6):909-912.
[86]王世伟.基于知识的产品配置建模、演化及其应用研究[D].杭州:浙江大学,2004.
[87]李海庆,殷国富,方辉.混合案例推理机制在变型设计中的应用[J].四川大学学报(工程科学版),2007.39(2):164-169.
[88]Jin B,Teng H F.Case-based evolutionary design approach for satellite module layout[J].Journal of Scientific and Industrial Research,2007,66(12):989-994.
[89]孙伟,袁长峰,高天一等.基于ANN支持产品设计过程的知识获取方法研究[J].大连理工大学学报,2007,47(2):190-195.
[90]Zhang B,Teng H F,Shi Y J.Layout optimization of satellite module using soft computing techniques[J].Applied Soft computing,2008,8(1):507-521.
[91]Saridakis K M,Dentsoras A J.Integration of frizzy logic,genetic algorithms and neural networks in collaborative parametric design[J].Advanced Engineering Informatics,2006,20(4):379-399.
[92]汤禹成,周雄辉,陈军.基于神经网络响应曲面的预锻模具形状优化与再设计方法[J].上海交通大学学报,2007,41(4):624-628.
[93]Saridakis K M,Dentsoras A J.Soft computing in engineering design- A review[J].Advanced Engineering Informatics,2008,22(2):202-221.
[94]Lenat D B,Feigenbaum E A.On the thresholds of knowledge[J].Artificial Intelligence,1991,47(1):185-230.
[95]钱学森,于景元,戴汝为.一个科学新领域-开放的复杂巨系统及其方法论[J].自然杂志,1990,13(1):3-10.
[96]路甬祥,陈鹰.人机一体化系统与技术-21世纪机械科学发展的方向[J].机械工程学报,1994,30(5):1-7.
[97]路甬祥,陈鹰.人机一体化系统科学体系和关键技术[J].机械工程学报,1995,31(1):1-7.
[98]Jones P M,Mitchell C M.Human-computer cooperative problem solving Ⅱ- A theory and an implementation[A].In IEEE Intemationai Conference on Systems,Man and Cybernetics[C].Oakland,1990:671-673.
[99]Millot P,Debernard S.Men-machines cooperative organizations:Methodological and practical attemps in air traffic control[J].Systems,Man and Cybernetics,1993:695-701.
[100]Woods D D,Roth E M,Bnett K.Explorations in joint human-machine cognitive systems[J].In Cognition,Computing and Cooperation,1990:123-158.
[101]戴汝为.“人机结合”大成智慧[J].模式识别与人工智能,1994,7(3):181-190.
[102]戴汝为.人-机结合的智能科学和智能工程[J].中国工程科学,2004,6(5):24-28.
[103]滕弘飞,王奕首,史彦军.人机结合的关键支持技术[J].机械工程学报,2006,42(10):1-8.
[104]Kosorukoff A.Human based genetic algorithm[A].IEEE International Conference on Systems,Man and Cybernetics[C].Tucson,2001:3464-3469.
[105]Fricke E,Gebhard B,Negele Het al.Coping with changes:Causes,findings and strategies[J].Systems Engineering,2000,3(4):169-179.
[106]刘清华,万立,钟毅芳.工程变更管理的分析与研究[J].计算机集成制造系统,2000,6(6):31-36.
[107]朱海平,王忠浩,李培根.基于PDM的工程变更管理研究[J].计算机集成制造系统,2003,9(7):537-541.
[108]Eckert C,Clarkson P J,Zanker W.Change and customisation in complex engineering domains[J].Research in Engineering Design,2004,15(1):1-21.
[109]Wright I C.A review of research into engineering change management:Implications for product design[J].Design Studies,1997,18(1):33-42.
[110]Schulz A P,Fricke E.Incorporating flexibility,agility,robustness,and adaptability within the design of integrated systems-key to sucecss[A].Proc IEEE/AIAA 18th Digital Avionics Syst Conf[C].St.Louis:IEEE,1999:l.A.2-1-1.A.2-8.
[111]Fricke E,Schulz A P.Design for changeability(DfC):Principles to enable changes in systems throughout their entire lifecycle[J].Systems Engineering,2005,8(4):342-359.
[112]Gu P,Hashemian M,Nee A Y C.Adaptable Design[J].Annals of CIRP,2004,53(1):1-19.
[113]Gu P.Adaptable design with flexible interface systems[j].Transactions of the SDPS,2004,8(3):61-74.
I114]Sand J C.AdaptEx:Adaptive design for the enhancement and extension of product life cycles[D].Calagary:University of Calagary,2005.
[115]章海峰,谭建荣,冯毅雄等.面向广义工程更改的产品模块划分方法研究[J].中国机械工程,2007,18(18):2227-2232.
[116]Sabin D,Weigel R.Product configuration frameworks-A survey[J].IEEE Intelligent Systems and Their Applications 1998,13(4):41-49.
[117]谭建荣,张树有,纪杨建等.集成环境下大批量定制的产品配置设计技术及其应用[J].中国机械工程,2004,15(19):1706-1708.
[118]Myung S,Han S.Knowledge-based parametric design of mechanical products based on configuration design method[J].Expert Systems with Applications,2001,21(2):99-107.
[119]李斌,陈立平,钟毅芳.基于多目标遗传算法的产品优化配置研究[J].中国机械工程,2004,15(20):1819-1822.
[120]Deciu E R,Ostrosi E,Ferney Met al.Configurable product design using multiple fuzzy models[J].Journal of Engineering Design,2005,16(2):209-235.
[121]Dahnus J B,Gonzale-Zugasti J P,Otto K N.Modular product architecture[J].Design Studies,2001,22(5):409-424.
[122]高卫国,徐燕申,陈永亮等.广义模块化设计原理及方法[J].机械工程学报,2007,43(6):48-55.
[123]Taguchi G,Elsayed E,Hsiang T.Quality engineering in production systems[M].New York McGraw-Hill,1989.
[124]张宝,滕弘飞.机械应急系统研究[J].中国机械工程,2003,14(10):888-891.
[125]Teng H F,Wang Y S,Zhang B.Emergency design framework:A satellite preliminary scheme design[J].Frontiers of Mechanical Engineering in China,2007,2(2):184-192.
[126]Cigla M,Yagiz S,Ozdemir L.Application of tunnel boring machines in underground mine development[A].Proceedings of the 17th International Mining Congress and Exhibition[C].Ankara,Turkey,2001.
[127]龚秋明,赵坚,张喜虎.岩石隧道掘进机的施工预测模型[J].岩石力学与工程学报,2004,23(增2):4709-4714.
[128]Gong Q M,Zhao J,Hefny A M.Numerical simulation of rock fragmentation process induced by two TBM cutters and cutter spacing optimization[J].Tunnelling and Underground Space Technology,2006,21(3-4):263.
[129]CSM computer model for TBM performance prediction[EB/OL].www.mines.edu...emipaperscomputer_modeling_for_mechanical_excavatorstbm_performance_pred iction.pdf.2006-8-25.
[130]Chiaia B.Fracture mechanisms induced in a brittle material by a hard cutting indenter[J].International Journal of Solids and Structures,2001,38(44-45):7747-7768.
[131]Liu H Y,Kou S Q,Lindqvist C Aet al.Numerical simulation of the rock fragmentation process induced by indenters[J].International Journal of Rock Mechanics and Mining Sciences &Geomechanics Abstracts,2002,39(4):491-505.
[132]Gong Q M,Jiao Y Y,Zhao J.Numerical modelling of the effects of joint spacing on rock fragmentation by TBM cutters[J].Tunnelling and Underground Space Technology,2005,21(1):46-55.
[133]Gong Q M,Zhao J,Jiao Y Y.Numerical modelling of the effects of joint orientation on rock fragmentation by TBM cutters[J].Tunnelling and Underground Space Technology,2005,20(2):183-191.
[134]Rostami J,Ozdemir L.A new model for performance prediction of hard rock TBMs[A].Proceedings of Rapid Excavation and Tunneling Conference(RETC)[C].Boston,USA,1993:793-809.
[135]Gertsch R E.Rock toughness and disc cutting[D].Missouri:University of Missouri-Rolla,2000.
[136]Tuncdemir H,Bilgin N,Copur H et al.Control of rock cutting efficiency by muck size[J].International Journal of Rock Mechanics and Mining Sciences,2008,45(2):278-288.
[137]Chang S H,Choi S W,Bae G J et al.Performance prediction of TBM disc cutting on granitic rock by the linear cutting test[J].Tunnelling and Underground Space Technology,2006,21(3-4):271.
[138]张照煌,叶定海,赵庆玉.岩石掘进机刀间距的确定及分析[J].工程机械,2002,33(11):11-12.
[139]Ozdemir L,Miller R,Wang F D.Mechanical tunnel boring prediction and machine design[R].Colorado:Colorado School of Mines,1977.
[140]Moon t.A computational methodology for modeling rock cutting with a discrete element method:Prediction of TBM rock cutting performance[D].Colorado:Colorado School of Mines,2006.
[141]Gertsch R,Gertsch L,Rostami J.Disc cutting tests in Colorado Red Granite:Implications for TBM performance prediction[J].International Journal of Rock Mechanics and Mining Sciences,2007,44(2):238-246.
[142]Cigla M,Ozdemir L.Computer modeling for improved production of mechanical excavators[A].Society for Mining,Metallurgy and Exploration(SME) Annual Meeting[C].Salt Lake City,2000.
[143]Okubo S,Fukui K,Chert W.Expert system for applicability of tunnel boring machines in Japan[J].Rock Mechanics and Rock Engineering,2003.36(4):305-322.
[144]沈明荣,陈建峰.岩体力学[M].上海:同济大学出版社,2006.
[145]徐则民,黄润秋,张倬元.TBM刀具设计中围岩力学参数的选择[J].岩石力学与工程学报,2001,20(2):230-234.
[146]Gong Q M,Zhao J,Jiang Y S.In situ TBM penetration tests and rock mass boreability analysis in hard rock tunnels[J].Tunnelling and Underground Space Technology,2007,22(3):303-316.
[147]Yagiz S.Development of rock fracture and brittleness indices to quantify the effects of rock mass features and toughness in the CSM model basic penetration for hard rock tunneling machines[D].Colorado:Colorado School of Mines,2002.
[148]赵维刚,刘明月,杜彦良等.全断面隧道掘进机刀具异常磨损的识别分析[J].中国机械工程,2007,18(2):150-153.
[149]Bruland A.Hard rock tunnel boring[D].Trondheim:Norwegian University of Science and Technology,1998.
[150]Nilsen B,Ozdemir L.Hard rock tunnel boring prediction and field performance[A].Proceedings of Rapid Excavation and Tunneling Conference(RETC)[C].Boston,USA,1993:833-852.
[151]Rostami J,Ozdemir L,Nilson B.Comparison between CSM and NTH hard rock "IBM performance prediction models[A].Proceedings of Institute of Shaft Drilling Technology(ISDT) annual Technical Conference'96[C].Las Vegas,NY,1996.
[152]宋克志,袁大军,王梦恕。盘形滚刀与岩石相互作用研究综述[J].铁道工程学报,2005,(6):66-69,92.
[153]Rostami.Design optimization,performance prediction,and the economic analysis of "IBM application for the construction of proposed Yucca Mountain nuclear waste repository[D].Colorado:Colorado School of Mines,1991.
[154]Roxborough F F,Phillips H R.Rock excavation by disc cutter[J].International Journal of Rock Mechanics and Mining Sciences & Geomechanies Abstracts,1975,12(12):361-366.
[155]Rostami J,Gertsch R,Gertseh L.Rock fragmentation by disc cutter:A critical review and an update[A].Proceedings of the North American Rock Mechanics Symposium(NARMS)-Tunneling Association of Canada(TAC) Meeting[C].Toronto,Canada,2002.
[156]Grima M A,Bruines P A,Verhoef P N W.Modeling tunnel boring machine performance by Neuro-Fuzzy Methods[J].Tunneling and Underground space Technology,2000,15(3):259-269.
[157]Howarth D F.Database of TBM projects undertaken between 1950 and 1990 and an assessment of associated ground-strength limitations[J].Tunnelling and Underground Space Technology,1994,9(2):209-213.
[158]吴庆鸣,张志强.基于KBE的隧道掘进机主机智能设计系统[J].中国机械工程,2006,17(4):331-333.
[159]Tsai C Y,Chiu C C.A case-based reasoning system for PCB principal process parameter identification[J].Expert Systems with Applications,2007,32(4):1183-1193.
[160]Schank R.Dynamic memory:A theory of learning in computers[M].New York:People Cambridge University Press,1982.
[161]Watson I.Case-based reasoning is a methodology not a technology[J].Knowledge-Based Systems,1999,12(5-6):303-308.
[162]Riesbeck C K,Sehank R.Inside ease-based reasoning[M].New Jersey,USA:Lawrence Edbaum Associates,1989.
[163]Slonim T Y,Schneider M.Design issues in fttzzy case-based reasoning[J].Fuzz,Sets and Systems,2001,117(2):251-267.
[164]王遵彤,刘战强,艾兴.高速切削中实例相似度及其应用的研究[J].计算机集成制造系统,2005,11(5):721-726.
[165]秦玉平,杨兴凯.基于案例推理的区间属性相似度研究[J].辽宁师范大学学报(自然科学版),2006,29(4):442-445.
[166]Golobardes E,Llora X,Salam6 et al.Computer aided diagnosis with ease-based reasoning and genetic algorithms[J].Knowledge-Based Systems,2002,15(1-2):45-52.
[167]Chang P C,Liu C H,Lai R K.A fuzzy ease-based reasoning model for sales forecasting in print circuit board industries[J].Expert Systems with Applications,2008,340):2049-2058.
[168]钟诗胜,李江,王泉龙等.基于实例的大型水轮机结构投标方案设计[J].计算机集成制造系统,2004.10(6):709-713.
[169]Jiang Y J,Chen J,Ruan X Y.Fuzzy similarity-based rough set method for case-based reasoning and its application in tool selection[j].International Journal of Machine Tools and Manufacture,2006,46(2):107-113.
[170]Ahn H,Kim K J,Han I.A ease-based reasoning system with the two-dimensional reduction technique for customer classification[J].Expert Systems with Applications,2007,32(4):1011-1019.
[171]Park Y J,Kim B C,Chun S H.New knowledge extraction technique using probability for ease-based reasoning:Application to medical diagnosis[J].Expert Systems,2006,23(1):2-20.
[172]常春光,崔建江,汪定伟等.案例推理中案例调整技术的研究[J].系统仿真学报,2004,16(6):1260-1265,1283.
[173]周凯波,冯珊,李锋.基于案例属性特征的相似度计算模型研究[J].武汉理工大学(信息与管理工程版),2003,25(1):24-27.
[174]徐雷.基于知识的计算机辅助夹具设计支持技术研究[D].成都:四川大学,2006.
[175]Vong C M,Leung T P,Wong P K.Case-based reasoning and adaptation in hydraulic production machine design[J].Engineering Application of Artificial Intelligence,2002,15(6):567-585.
[176]刘有源,郑建辉,陈定方.智能设计中初始设计实例的生成算法研究[J].机械设计与制造工程,2003,20(7):11-13.
[177]钟诗胜.工程方案设计中的模糊理论与技术[M].哈尔滨:哈尔滨工业大学出版社,2000.
[178]张照煌,李福田.全断面隧道掘进机施工技术[M].北京:中国水利水电出版社,2006.
[179]宋克志,王本福.隧道掘进机盘形滚刀的工作原理分析[J].建筑机械,2007,(4):71-74.
[180]Bruland A.Future demands and development trends[C].Norwegian TBM Tunnelling,Oslo,1998:99-103.
[181]霍军周,史彦军,滕弘飞等.全断面岩石掘进机刀具布置设计方法[J].中国机械工程,2008,19(15):1832-1836.
[182]CSM.http://www.mines.edu/Academic/mining/research/emi/index.htm.2008-6-20.
[183]Steuer R E.Multiple criteria optimization:Theory,computation and application[M].New York:John Wiley & Sons,1985.
[184]郑金华.多目标进化算法及其应用[M].北京:科学出版社,2007.
[185]Coello C A C,Van Veldhuizen D A,Lamont(3 B.Evolutionary Algorithms for Solving Multi-Objective Problems[M].New York:Kluwer Academic Publishers,2002.
[186]Coello C A C.Handling preferences in evolutionary multiobjective optimization:A survey[A].Proceedings of the 2000 Congress on Evolutionary Computation[C].New Jersey:IEEE Service Center,2000:30-37.
[187]Abido M A.A niched Pareto genetic algorithm for multiobjective environmental/economic dispatch[J].Electrical Power and Energy Systems,2003,25(2):97-105.
[188]滕弘飞,刘峻,王秀梅等.一种矩形的动态不干涉算法[J].中国图象图形学报,2001,6(3):259-264.
[189]霍军周,史彦军,滕弘飞.卫星舱布局CAD系统:干涉计算和质量特性计算[J].计算机辅助设计与图形学学报,2007,19(9):1218-1222.
[190]Wolpert D H,Macready W(3.No free lunch theorems for optimization[J].IEEE Transactions On Evolutionary Computation,1997,1(1):67-82.
[191]Zadeh L A.Soft computing and fuzzy logic[J].IEEE Software,1994,11(6):48-56.
[192]Bonissone P P.Soft computing:The convergence of emerging reasoning technologies[J].Soft Computing-A Fusion of Foundations,Methodologies and Applications,1997,1(1):6-18.
[193]Oduguwa V,Roy R,Farrugia D.Development of a soft computing-based framework for engineering design optimisation with quantitative and qualitative search spaces[J].Applied Soft Computing,2007,7(1):166-188.
[194]Lenat D B,Feigenbaum E A.On the thresholds of knowledge[A].Proceedings of the International Workshop on Artificial Intelligence for Industrial Applications[C].Oakland,1988:291-300.
[195]Sachdev S,Paredis C J J,Gupta S K et al.3D Spatial Layouts Using A-Teams[A].Proceedings of ASME 24th Design Automation Conference[C].Atlanta,Georgia,USA,1998.
[196]Park Y J,Kim B C.An interactive case-based reasoning method considering proximity from the cut-off point[J].Expert Systems with Applications,2007,33(4):903-915.
[197]Subbu R,Bonissone P P.A retrospective view of fuzzy control of evolutionary algorithm resources[A].The IEEE Internatiofial Conference on Fuzzy Systems[C].IEEE,2003:143-148.
[198]Antonsson E K,Wood K L.Computations with imprecise parameters in engineering design:Background and theory[J].ASME Journal of Mechanisms,Transmissions,and Automation in Design,1989,111(4):616-625.
[199]Medaglia A L,Fang S C,Nuttle H L W.Fuzzy controlled simulation optimization[J].Fuzzy Sets and Systems,2002,127(1):65-84.
[200]Roy R.Adaptive search and the preliminary design of gas turbine blade cooling system[D].Plymouth:University of Plymouth,1997.
[201]Pal T,Pal N R.SOGARG:A self-organized genetic algorithm-based rule generation scheme for fuzzy controller[J].IEEE Transaction on Evolutionary Computation,2003,7(4):397-415.
[202]Timothy J Ross著.,钱同惠等译.模糊逻辑及其工程应用[M].北京:电子工业出版社,2001.
[203]Roychowdhury S,Pedrycz W.A survey of defuzzification strategies[J].International Journal of Intelligent Systems,2001,16(6):679-695.
[204]刘竣,滕弘飞,屈福政.人机交互遗传算法的人机界面[J].大连理工大学学报,2005,45(1):58-63.
[205]曾威,史彦军。滕弘飞.卫星舱布局CAD系统:Pro/Engineer二次开发若干关键技术[J].计算机辅助设计与图形学学报,2005,17(1 1):2575-2579.
[206]Mahalanabis A K.Introductorysystem engineering[M].New York:Wiley,1982.
[207]Wheelwright S,Clark K.Revolutionizing product development[M].New York:The Free Press,1992.
[208]Jordan N C,Saleh J H,Newman D J.The extravehicular mobility unit:A review of environment,requirements,and design changes in the US spacesuit[J].Acta Austronautica,2006,59(12):1135-1145.
[209]Eckert C,Clarkson P J,Zanker W.Change and customisation in complex engineering domains[Y].Research in Engineering Design,2004 15(1):1-21.
[210]滕弘飞,王奕首,张宝.应急设计框架:卫星总体方案设计[J].大连理工大学学报,2006,46(2):210-227.
[211]Reynerson C M.Developing an efficient Space System Rapid Design Center[A].IEEE Proceedings of Aerospace Conference[C].Big Sky,MT,USA:IEEE,2001:3522
[212]Esper J,Andary J,Oberright Jet al.Modular,reconfigurable,and rapid response space system:the remote sensing advanced technology microsatellite[A].AIAA 2nd Responsive Space Conference 2004[C].2004:AIAA-RS2 2004-3002.
[213]Ullman D G.The Mechanical Design Process[M].London:McGraw-Hill,2002.
[214]Kalay Y E.Performance-based design[J].Automation in Construction,1999,8(3):395-409.
[215]谢友柏.产品的性能特征与现代设计[J].中国机械工程,2000,11(1-2):26-32.
[216]魏喆,谭建荣,冯毅雄.广义性能驱动的机械产品方案设计方案[J].机械工程学报,2008,44(5):1-10.
[217]Subramanyam S,Crowe K E.Rapid design of heat sinks for electronic cooling using computational and experimental tools[A].IEEE Semiconductor Thermal Measurement and Management Symposium[C].Oakland:IEEE,2000:243-251.
[218]Bi Z M,Zhang W J.Concurrent optimal design of modular robotic configuration[J].Journal of Robotic System,2001,18(2):77-87.
[219]Silveira G D,Borenstein D F,Fogliatto S.Mass customization:Literature review and research directions[J].International Journal of Production Economics,2001,72(1):1-13.
[220]Huang G Q,Mak K L.Web-based collaborative conceptual design[J].Journal of Engineering Design,1999,10(2):183-194.
[221]Liu Z J,Chert W,Huang H Z et al.A diagnostics design decision model for products under warranty[J].International Journal of Production Economics,2007,109(1-2):230-240.
[222]冯毅雄,程锦,谭建荣等.面向大批量定制的配置产品变型设计[J].浙江大学学报(工学版),2007,41(2):315-318.
[223]马明旭,王成恩,张嘉易等.复杂产品多学科设计优化技术[J].机械工程学报,2008,44(61:15-26.
[224]Wiegand R P.An analysis of cooperative coevolutionary algorithms[D].Fairfax,Virginia:George Mason University,2003.
[225]来可伟,殷国富.并行设计[M].北京:机械工业出版社,2003.
[226]谭建荣,刘振宇.数字样机:关键技术与产品应用[M].北京:机械工业出版社,2007.
[227]Altshuller O.The Innovation Algorithm,TRIZ,Systematic Innovation and Technical Creativity[M].Worcester Technical Innovation Center,INC,1999.
[228]Sub N P.Axiomatic Design[M].New York:Oxford University Press,2001.
[229]Huang S C,Lin C A.Sensitivity analysis and optimization of undamped rotor critical speeds to supports stiffness[J].Transactions of the ASME,2002,124(2):296-301.
[230]Browning T R.Applying the design structure matrix to system decomposition and integration problems:A review and new directions[J].IEEE Transactions on Engineering Management,2001,48(3):292-306.
[231]Pahl(3,Beitz W.Engineering design- a systematic approach[M].London:Sringer-Verlag,2000.
[232]Tan R H,Cao G Z,Zhang R H.The function model for existing product using reverse fishbone diagram[J].The TRIZ Journal.2003,11.
[233]檀润华.发明问题解决理论[M].北京:科学出版社,2004.
[234]Eckert C M,Keller R,Earl C F et al.Supporting change processes in design:Complexity,prediction and reliability[J].Reliability Engineering & Safety Systems,2006,19(12):1521-1534.
[235]Clarkson P J,Simons C,Eckert C.Predicting change propagation in complex design[J].ASME Journal of Mechanical Design,2004,126(5):788-797.
[236]Steward D.The design structure system:A method for managing the design of complex systems[J].IEEE Transactions on Engineering Management,1981,28(3):71-74.
[237]陈以增,唐加福,侯荣涛等.基于质量屋的产品设计过程[J].计算机集成制造系统-CIMS,2002,8(10):757-761.
[238]Suh N P著.谢友柏等译.公理设计:发展与应用[M].北京:机械工业出版社,2004.
[239]Wang O G.Definition and review of virtual prototyping[J].Journal of Computing and Information Science in Engineering,Transactions of ASME,2002,2(3):222-236.
[240]Kodiyalam S,Sobieszcza-Sobieski J.Multidiseiplinary design optimization-some formal methods,framework requirements,and application to vehicle design[J].Journal of Vehicle Design,2001,25(1-2):3-22.
[241]Noor A K,Havskjold G,Mavris D et al.Innovative Design of Complex Engineering Systems[A].Proceedings of the training workshop on Innovative Design of Complex Engineering Systems[C].Hampton:NASA,2004:NASA/CP-2004-213244.
[242]钟掘.复杂机电系统耦合设计理论与方法[M].北京:机械工业出版社,2007.
[243]Roser C,Kazmer D,Rinderle J.An eeononne design Change memod[J].Journal of Mecnanical Design,2003,125(2):233-239.
[244]Venkatasubramanian V.Prognostic and diagnostic monitoring of complex systems for product lifecycle management:Challenges and opportunities[J].Computers and Chemical Engineering,2005,29(6):1253-1263.
[245]Murthy D N P,Djamaludin I.New product warranty:A literature review[J].International Journal of Production Economies,2002,79(3):231-260.
[246]Blischke W R,Murthy D N P.Product Warranty Handbook[M].New York:Marcel Dekker,Ine,1996.
[247]Thomas M U,Rao S S.Warranty economic decision models:A summary and some suggested directions for future research[J].Operations Research,1997,47(6):807-820.
[248]Hussain A Z M O,Murthy D N P.Warranty and optimal reliability improvement through product development[J].Mathematical and Computer Modelling,2003,38(11):1211-1217.
[249]Mi J.Warranty policies and bum-in[J].Naval Research Logistics,1997,44(2):199-209.
[250]Murthy D N P,Blischke W R.Warranty Management and Product Manufacture[M].London:Springer-Verlag,2006.
[251]Blisehke W R,Murthy D N P.Warranty Cost Analysis[M].New York:Marcel Dekker,Ine,1994.
[252]Kao E P C.随机过程导论(英文版)[M].北京:机械工业出版社,2003.
[253]Kakouros S,Cargille B,Esterman M.Reinventing warranty at liP:An engineering approach to warranty[J].Quality and Reliability Engineering International,2003,19(1):21-30.
[254]权太范.信息融合:神经网络-模糊推理理论与应用[M].北京:国防工业出版社,2002.