基于神经网络的结构地震反应仿真研究进展
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摘要
总结了利用神经网络进行结构地震反应仿真的研究进展,针对线性结构地震仿真的网络模型选择、网络结构确定及仿真精度控制等关键问题进行了探讨并提出了建议,指出了非线性结构地震反应仿真研究所面临的主要问题及解决方向。
The improvement of research on simulation of structural seismic responses based on neural networks(NN) is reviewed in this paper.Three key problems to simulate linear structures,selection of NN model,determination of NN structure and control of simulating precision,are discussed and the method to deal with the problems are suggested.Main problems of the research on simulating nonlinear structures under the action of earthquake ground motions based on NN are presented.
The improvement of research on simulation of structural seismic responses based on neural networks(NN) is reviewed in this paper.Three key problems to simulate linear structures,selection of NN model,determination of NN structure and control of simulating precision,are discussed and the method to deal with the problems are suggested.Main problems of the research on simulating nonlinear structures under the action of earthquake ground motions based on NN are presented.
引文
[1]李国强,李杰.工程结构系统仿真理论与应用(M).北京:科学出版社,2002.
[2]董聪.现代结构系统可靠性理论及其应用(M).北京:科学出版社,2001.
[3]姜绍飞.基于神经网络的结构优化与损伤检测(M).北京:科学出版社,2002.
[4]吴波.基于神经网络的结构地震反应仿真(D).重庆:重庆大学,2003.
[5]H.Adeli and C.Yeh.Perceptron learn ing in engineering de-sign(J.)M icrocomputers in C ivil Engineering,1989,(4):247-256.
[6]G.G.Yen.Identification and control large structures usingneural networks(J.)Computers and Structures,1995,52(5):859-870.
[7]J.Ghaboussi.Active control of structures using neural net-works(J.)Journal of Engineering M echan ics,1995,121(4):555-566.
[8]V.Venkatasubram an ian and K.Chan.A neural networkm ethodology for process fau lt d iagnosis(J.)Journal ofAIChE,1989,35(12):1993-2002.
[9]J.N.Kudva,N.Mun ir and P.W.Tan.Dam age detection net-works in detection of structural dam age(J.)Computers andStructures,1992,42(4):649-659.
[10]杨英杰.结构故障诊断智能系统的研究(D).沈阳:东北大学,1993.
[11]T.H.T.Chan,Y.Q.N i and J.M.Ko.Neural network novel-ty for anom aly detection of TsingM a bridge cab les(A.)In-ternational Conference on StructuralHealthMon itoring 2000(C.)Pennsylvan ia,USA.1999:430-439.
[12]何玉敖,吴建军.应用自递归神经网络(SRNN)预测结构响应(J).土木工程学报,1998,31(2):46-51.
[13]He Yu'ao,Hu X ianzhong and Zhan Sheng.Pred icting se is-m ic response of structures by artific ial neural networks(J).Transaction of Tian jin Un iversity,1996,2(2):36-39.
[14]J.M.Ko and Y.Q.N i.Structural dam age alarm ing in TingKau B ridge using auto-assoc iative neural network(A.)In-ternational Conference on Advances in Structural Dynam ics(C.)Hong Kong,2000.
[15]朱宏平,张源.基于自适应BP神经网络的结构损伤检测(J).力学学报,2003,35(1):110-116.
[16]C.S.Huang,S.L.Hung,et al.A neural network approachfor structural identification and d iagnosis of a bu ild ing fromse ism ic response data(J.)EESD,2003,32(2):187-206.
[17]B.Irie and S.M iyake.Capac ity of three-layered percep-trons(A.)In International Conference on Neural Networks(C.)San D iego,1988,I:641-648.
[18]刘耦耕,贺素良.BP神经网络结构参数的计算机自动确定(J).计算机工程与应用,2004,13:72-74.
[19]章剑雄.复杂系统的神经网络建模及仿真研究(D).杭州:浙江工业大学,2003.
[20]何玉彬,李新忠.神经网络控制技术及其应用(M).北京:科学出版社,2000.
[21]陈素文,基于BP网络的框架结构损伤的多重分步识别理论(M).地震工程与工程振动,2002,22(5):18-23.
[22]王柏生,丁浩江.用于结构损伤识别的神经网络设计(J).工程设计,1999,3(1):29-33.
[23]M.Nakamura.A m ethod for non-param etric dam age detec-tion through the use of neural networks(J.)EESD,1998,27(6):997-1 010.
[24]赵轩.基于神经网络的结构非线性地震反应仿真(D).重庆:重庆大学,2005.
[2]董聪.现代结构系统可靠性理论及其应用(M).北京:科学出版社,2001.
[3]姜绍飞.基于神经网络的结构优化与损伤检测(M).北京:科学出版社,2002.
[4]吴波.基于神经网络的结构地震反应仿真(D).重庆:重庆大学,2003.
[5]H.Adeli and C.Yeh.Perceptron learn ing in engineering de-sign(J.)M icrocomputers in C ivil Engineering,1989,(4):247-256.
[6]G.G.Yen.Identification and control large structures usingneural networks(J.)Computers and Structures,1995,52(5):859-870.
[7]J.Ghaboussi.Active control of structures using neural net-works(J.)Journal of Engineering M echan ics,1995,121(4):555-566.
[8]V.Venkatasubram an ian and K.Chan.A neural networkm ethodology for process fau lt d iagnosis(J.)Journal ofAIChE,1989,35(12):1993-2002.
[9]J.N.Kudva,N.Mun ir and P.W.Tan.Dam age detection net-works in detection of structural dam age(J.)Computers andStructures,1992,42(4):649-659.
[10]杨英杰.结构故障诊断智能系统的研究(D).沈阳:东北大学,1993.
[11]T.H.T.Chan,Y.Q.N i and J.M.Ko.Neural network novel-ty for anom aly detection of TsingM a bridge cab les(A.)In-ternational Conference on StructuralHealthMon itoring 2000(C.)Pennsylvan ia,USA.1999:430-439.
[12]何玉敖,吴建军.应用自递归神经网络(SRNN)预测结构响应(J).土木工程学报,1998,31(2):46-51.
[13]He Yu'ao,Hu X ianzhong and Zhan Sheng.Pred icting se is-m ic response of structures by artific ial neural networks(J).Transaction of Tian jin Un iversity,1996,2(2):36-39.
[14]J.M.Ko and Y.Q.N i.Structural dam age alarm ing in TingKau B ridge using auto-assoc iative neural network(A.)In-ternational Conference on Advances in Structural Dynam ics(C.)Hong Kong,2000.
[15]朱宏平,张源.基于自适应BP神经网络的结构损伤检测(J).力学学报,2003,35(1):110-116.
[16]C.S.Huang,S.L.Hung,et al.A neural network approachfor structural identification and d iagnosis of a bu ild ing fromse ism ic response data(J.)EESD,2003,32(2):187-206.
[17]B.Irie and S.M iyake.Capac ity of three-layered percep-trons(A.)In International Conference on Neural Networks(C.)San D iego,1988,I:641-648.
[18]刘耦耕,贺素良.BP神经网络结构参数的计算机自动确定(J).计算机工程与应用,2004,13:72-74.
[19]章剑雄.复杂系统的神经网络建模及仿真研究(D).杭州:浙江工业大学,2003.
[20]何玉彬,李新忠.神经网络控制技术及其应用(M).北京:科学出版社,2000.
[21]陈素文,基于BP网络的框架结构损伤的多重分步识别理论(M).地震工程与工程振动,2002,22(5):18-23.
[22]王柏生,丁浩江.用于结构损伤识别的神经网络设计(J).工程设计,1999,3(1):29-33.
[23]M.Nakamura.A m ethod for non-param etric dam age detec-tion through the use of neural networks(J.)EESD,1998,27(6):997-1 010.
[24]赵轩.基于神经网络的结构非线性地震反应仿真(D).重庆:重庆大学,2005.
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