基于免疫算法的音乐厅形体优化
详细信息    本馆镜像全文|  推荐本文 |  |   获取CNKI官网全文
摘要
长期以来,各国声学家、音乐家和建筑师们对一些著名传统音乐厅为何能获得优良音质的原由、音乐厅几何形体的变化与声学主客观参数之间的相关关系以及如何在音乐厅形体设计上突破传统“鞋盒”式形体等方面进行了探索,并做了大量的理论分析及科学试验,取得了一些标志性成果。
     本文首先回顾了音乐厅的起源和形体发展的历史,简要介绍了前人对影响声场主观因子的维度和正交因子等方面所做的研究,综述了现代建筑声学研究的现状和取得的进展,以及基于这些理论而开展的音乐厅形体设计实践上的一些尝试,最后阐述了本课题的主要研究内容。
     文章简要介绍了免疫算法的发展沿革、机理、特性以及常见的算法类型,并用Matlab语言编制了免疫算法程序,解决了一个墙体隔声的优化问题,并求解出进化代数和种群分布特征,作为检验程序是否正确的例证。
     在采用虚声源法的基础上提出了一种简便的算法,能够执行对下级虚声源的快速判断。利用Matlab语言编程,实现了室内声场分布的可视化仿真,并能得到指定观众席接收点的声能脉冲响应。
     依据安藤四一提出的影响室内音质的四个相互独立的物理因子理论,用本课题编制的室内声学仿真软件可计算室内任意坐席的四个声学参量;并根据主观优选标度值理论,得到了音乐厅指定坐席的声学参量主观优选标度值以及总的主观优选标度值,并分别绘制出了它们的等值线图,所得结果与已有文献的结论相吻合。
     本文按照一定的规则将一个“鞋盒”式音乐厅几何形体进行编码,然后运用免疫算法程序加以优选,最后解码得到经过优化的音乐厅体形。研究表明,优化后音乐厅形体为一对称的不规则形状,其平面及剖面均呈锯齿状几何形体。就平面图来说,演奏乐台墙面中心向观众席凸起,观众席后墙中心向外凸;音乐厅两侧墙体各个矩形面转动朝向乐台,音乐厅两面端墙呈凹面状朝向观众席。就剖面图来说,音乐厅前部顶棚倾斜朝向观众席区域,后部顶棚以较大倾斜角度朝向观众席区域。
     与此同时,本文亦将一个“扇形”音乐厅作为优化算例,并将混响时间优选标度值加入到优化目标函数中,得到了相应的优化形体。
     本论文利用免疫算法实现对音乐厅体形优化的工作及其结论对于观演建筑体形设计具有一定的指导意义。
For a long time, worldwide acousticians, musicians and architects have been paying theirattention to some acoustic issues, such as the reason why acoustics of some traditional musichalls could have been highly evaluated, the correlativity between geometric shape of musichalls and acoustical parameters of objectivity and subjectivity, and how to breakthroughtraditional Shoe-Box-Shape in music halls design. Lots of theoretical analysis and scientificexperiments have been done; some achievements have been made as well.
     This thesis has reviewed the history of origin and shape evolution of music halls,summarized the studies that have been done on the factors of orthogonal and subjectivedimensionality, briefly introduced current situation and progresses that have been achieved,some design innovations on shapes of music halls based on these theories are also presented.
     This thesis has introduced the evolution, mechanism, characteristics and styles ofimmune algorithm; the optimization program of sound insulation of walls has been realized inMatlab that is on the basis of comentropy immune algorithm, evolutionary process andpopulation distribution have been also simulated out in this dissertation. It is used to verify thevalidity of the optimization program.
     A concise algorithm has been suggested based on Image-Source Method that canimplement the quick judgment to the position of next image. Visualization simulation of roomsound field has been realized by a program in Matlab, Impulse Response of specifiedreceivers in rooms can be also obtained.
     According to the theory of four orthogonal physical factors that influence room acousticsthat has been proposed by Yoichi Ando, the program in Matlab developed by this paper cancalculate these four orthogonal physical factors at any receivers in the room. Also, the ScaleValues (SV) of subjective preferences at any specified receivers are calculated and the isolinesof these parameters are rendered respectively, the total SV of subjective preferences of threeacoustic parameters is also obtained, these calculated results are well consistent with theconclusions of existing literatures.
     Based on a certain rule, this paper has coded the geometric shape of a shoe-box musichall and applied them into an immune algorithm program, the final optimized shape of themusic hall are obtained after decoding optimal solution acquired by the program. The resultsshow that the optimized shape of the music hall is symmetric and irregular; the form is hacklyin the plane and section plane, center of endwall near the stage heaves to audience area andrear endwall is convex towards outside. Each rectangular surface of sidewalls rotates and faces towards to the stage. The front part of ceiling tilts to audience area and rear part turns toaudience area at a bigger inclination angle.
     Meanwhile, having added scale value of RT on optimization object function, this papertakes a fan-shaped music hall as an optimization example, and the optimized shape has beenobtained.
     Results of the research on shape optimization are significant for shape design ofperformance–oriented buildings.
引文
[1] W. C. Sabine,“Reverberation”, The America Architect.1900; Collected Papers onAcoustics, Dover, N.Y.1964,43.
    [2]项端祈.音乐厅建筑声学设计的回顾与展望[A].北京声学学会.工程声学[C].北京:北京大学出版社,1996:1-39
    [3] Ando, Y. Architectural Acoustics-Blending Sound Sources, Sound Fields, andListeners[M]. New York: AIP Press/Springer Verlag,1998
    [4] V.O. Knudsen, The Hearing of Speech in Auditoriums [J]. J. Acous. Soc. Am,1929
    [5] V. O. Knudsen and C. M. Harris.建筑中的声学设计[M].王季卿、郑长聚.上海:上海科学出版社,1958
    [6]安藤四一.音乐厅声学[M].北京:中国科学出版社,1989
    [7] Rindel, J. H. Design of New Ceiling Reflectors for Improved Ensemble in Concert Hall[J]. Applied Acoustics,1991,(34):7-17
    [8]王季卿.音乐厅音质设计进展评述[J].应用声学,2003,22(1):1-7
    [9] S. Sato, K.Otori. A, Takizawa, et al, Applying Genetic Algorithms to the OptimumDesign of A Concert Hall [J]. Journal of Sound and Vibration,2002,258(3):517–526
    [10]安藤四一.建筑声学—声源、声场与听众之融合[M].吴硕贤、赵越喆.天津:天津大学出版社,2006
    [11]华天礽.长方形音乐厅的复兴[J].音乐爱好者,2005,22(9):32-37
    [12]孙广荣.厅堂音质评价参量的相关性分析[J].电声技术,2005,(3):7-9
    [13]孙广荣、王季卿.房间形状与室内音质浅说[J].艺术科技,2000,(2):17-20
    [14]王季卿.音乐厅音质设计进展述评[J].应用声学,2003,22(1):1-7
    [15]孟子厚.中型多功能音乐厅体形参数设计的研究[J].建筑科学,2004,20(5):8-13
    [16]吕岗.免疫算法及其应用研究[D].北京:中国矿业大学,2003
    [17]Holland, J., Adaptation in Natural and Artificial Systems [M]. Cambridge, MA:University of Michigan Press,1992
    [18]J.D. Bagley. The behavior of adaptive systems which employ genetic and correlationalgorithms [D]. Michigan: University of Michigan,1967
    [19]Rosenberg R S. Simulation of genetic populations with biochemical properties [D].Michigan: University of Michigan,1967
    [20]J.H. Holland. Genetic algorithms and classifier systems: foundations and theirapplications [J]. Proceedings of the Second International Conference on GeneticAlgorithms [C],1987:82~89
    [21]J.J. Grefenstette. Genetic algorithms for the traveling salesman problem [A]. Proceedingsof an International Conference on Genetic Algorithms and Their Applications [C],1985:136~140
    [22]D.B. Fogel. Applying evolutionary programming to selected traveling salesman problems[J]. Cybernetics and Systems,1993,(24):27~36
    [23]G. Miller, P. Todd, S. Hedge, et al. Designing neural networks using genetic algorithm [A].Proceeding of the Third International Joint Conference on Genetic Algorithms [C].1989:379–384
    [24]Booker L.B, Goldberg and J.H. Holland. Classifier systems and geneti calgorithms [J].Artificial Intelligence,1989,(40):235~282
    [25]Farmer JD, Packard NH, Perelson AS.The immune system adaptation and machinelearning [J]. Physica,1986,22D,187-204
    [26]靳蕃、范俊波、谭永东.神经网络与神经计算机原理与应用[M].成都:西南交通大学出版社,1991:73-78
    [27]Forrest S,Hofmeyr SA. Immunology as information processing [A].In: Segel L A, CohenI R. Design Principles for the Immune System and Other Distributed AutonomousSystems [M]. USA: Oxford University Press,2000
    [28]Hightower R R, Forrest S,Perelson A S. The evolution of emergent organization inimmune system gene libraries [A].In: Eshelman L J.GACONF6[M]. Los Altos:Morgan-Kaufmann,1995
    [29]Hightower R, Forrest S, Perelson A S.The Baldwin effect in the immune system: learningby somatic hypermutation [A]. Belew R K, Mitchell M. Adaptive Individuals in EvolvingPopulations [C]. MA: Addison-WesleyReading,1996:159-167
    [30]Dasgupta D. Artificiall neural networks and artificiall immune systems: similarities anddifferences [A]. IEEE international Conference on Systems, man, and Cybernetics [C].Orlando, FL, USA:1997:873-878
    [31]刘克胜、曹先彬、郑浩然等.基于免疫进化规划的多层前馈网络设计[J].软件学报,1999,10(11):1180-1184
    [32]Dasgupta D. Artificial Immune Systems and Their Applications[M].Berlin:HeidelbergSpringer-Verlang,1999
    [33]王磊、潘进、焦李成.免疫算法[J].电子学报,2000,28(7):74-78
    [34]王磊、潘进、焦李成.免疫规划[J].计算机学报,2000,23(8):806-812
    [35]曹先彬、郑振、刘克胜等.免疫进化策略及其在二次布局求解中的应用[J].计算机工程,2000,26(3):1-2
    [36]周伟良、何鲲、曹先彬等.基于一种免疫遗传算法的网络设计[J].安徽大学学报(自然科版),1999,23(1):63-66
    [37]刘克胜、曹先彬、郑浩然等.基于免疫算法的TSP问题求解[J].计算机工程,2000,26(1):1-2
    [38]葛红.免疫算法综述[J].华南师范大学学报,2002,27(3).121-126
    [39]陈丽安、张培铭.免疫遗传算法在MATLAB环境中的实现[J].福州大学学报,2004,32(5):555-559
    [40]崔逊学.基于免疫原理的多目标进化算法群体多样性研究[J].模式识别与人工能,2001,14(3):291-295
    [41]周明、孙叔栋.遗传算法原理及应用[M].北京:国防工业出版社,1999:73-78
    [42]王季卿.声场扩散与厅堂音质[J].声学学报,2001,26(5):418-421
    [43]林夏水.科学实验的新形式—计算机实验[J].哲学研究,1998,(8):17-24
    [44]吴硕贤、张三明、葛坚.建筑声学设计原理[M].北京:中国建筑工业出版社,2004:184-191
    [45]Lehnert H, Blauert J. Principles of binaural room simulation [J]. Applied Acoustics,1992,36:259-91
    [46]Vian JP, Martin J. Binaural room simulation: practical uses and applications. AppliedAcoustics1992,36:293-305
    [47]M. Kleiner. Auralization-An Overview [J], J. Audio Eng. Soc,1993,41(11)
    [48]钱城.厅堂音质设计中声线模拟立体角分频并行计算和应用研究[D].天津:天津大学,2005
    [49]A. Krokstand, S.Strm and S. Srsdal. Calculation The Acoustical Room Responded by TheUse of A Ray Tracing Technique [J], J. Sound Vib,1968,8(1):118-125
    [50]曾向阳、陈克安、刘峰.计算房间脉冲响应的经典方法一声线跟踪法研究[J].电声技术,1999,25(3):32-35
    [51]H. Lee and B.H. Lee, An Efficient Algorithm for The Image Model Triage [A]. Appl.Acoust,1998,24:81-84
    [52]张怡芳、毛礼松.室内声场的计算机仿真[J].计算机工程与应用,2002,(2):229-231.
    [53]黄险峰.基于人工免疫算法的墙体隔声反向预测[J].华南理工大学学报,2007,35(S):125-127
    [54]S. Sato, K. Otori, A. Takizawa, et al. Applying Genetic Algorithms to the OptimumDesign of A Concert Hall [J]. Journal of Sound and Vibration,2002,258(3):517–526
    [55]Y. Ando. Theory of Preference for Sound Fields in Concert Halls [A]. Fortschritte derAkustik [C], FASE/DAGA,1982:182-186
    [56]Jang-Sung,Chun, Min-Kyu,Kim, Hyun-Kyo Jang. Shape Optimization ofElectromagnetic Devices Using Immune Algorithm [J]. IEEE Trans.On Magnetics,1997,(2):1876-1879
    [57]Jang-Sung Chun, Hyun-Kyo Jang,Song-Yop, et al. A Study on Comparison ofOptimization Performances Between Immune Algori-thm and Other Heuristic Algorithms[J]. IEEE Trans.On Magnetics,1998,(5):2972-2975
    [58]De Castro L N, Von Zuben F J. The Clonal Selection Algorithm with EngineeringApplications[A]. In:Proceedings do GECCO2000(Gene-tic and EvolutionaryComputation Conference) Workshop Sobre Siste-mas,Imunoló Gicos Artificiais e SuasAplicacoes [C],2000:36-37
    [59]陈莉、刘弘、邵增珍.支持复用的建筑设计图样系统研究[J].小型微型计算机系统,2004,25(2):291~294
    [60]Y.Ando, S.Sato, T.Nakajima and M.Sakurai. Acoustic design of a concert hall applyingthe theory of subjective preference, and the acoustic measurement after construction [J].Acustica Acta Acustica,1997,83:635-643
    [61]A.Takizawa, K.Qtori, T.Hayashi, et al. Concert hall acoustics (in CD-ROM). Optimumdesign of a concert hall by genetic algorithms [A]. Proceedings of the17th InternationalCongress on Acoustics [C]. Rome:2001, Vol.3
    [62]P.K.Singh, Y.Ando and Y.Kurihara. Individual preference in subjective preferencejudgments of sound field [J]. Acustica,1994,80:471-477
    [63]H.Sakai, P.K.Singh and Y.Ando. Inter-individual differences in subjective preferencejudgments of sound fields [A]. Conference Proceedings of MCHA1995.London:Academic Press [C].1997chapter6
    [64]A.H.MARSHALL, D.GOTTLOB and H.ALRUTZ. Acoustical conditions preferred forensemble [J]. Journal of the Acoustical Society of America.1978,64:1437-1442.
    [65]A.TAKATSU, Y.MORI andY.ANDO. The architectural and acoustic design of acircularevent hall in Kobe Fashion Plaza [A]. Conference Proceedings of MCHA1995.London:Academic Press [C].1997: chapter30
    [66]H.ALRUTZ, M.R.SCHROEDER.A fast Hadamard Transform method for the evaluationof measurements using pseudorandom test signals [A]. Proceedings of11th InternationalCongress on Acoustics [C]. Paris:1983:235-238
    [67]Y.ANDO,T.OKANO and Y.TAKEZOE. The running autocorrelation function of differentmusic signals relating to preferred temporal parameters of sound fields [J]. Journal of theAcoustical Society of America,1989,86:644-649.
    [68]H.SAKAI,H.SETOGUCHI and Y.ANDO. Subjective preference judgments of simulatedsound field by listeners for sound source in opera performance [J]. Journal of theAcoustical Society of America,1997,102:3187.
    [69]A.TAKATSU, S.HASE, H.SAKAI, et al.(Special Issue on Opera HouseAcoustics).Acoustical design and measurement of a circular hall, improving a spatialfactor at each seat[J]. Journal of Sound and Vibibration,1999
    [70]M.R. Schroeder. New Method of Measuring Reverberation Time [J].Acostic.Soc.Am.1965,37:409-412
    [71]黄险峰.建筑隔声预测及隔声构件参数选择[D].广州:华南理工大学大学,2005

© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号

地址:北京市海淀区学院路29号 邮编:100083

电话:办公室:(+86 10)66554848;文献借阅、咨询服务、科技查新:66554700