MTMD控制下随机结构的动力可靠度分析
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摘要
考虑到实际工程结构的不确定性,基于遗传优化的神经网络响应面法,进行了MTMD控制下随机结构的动力可靠度分析,并对TMD及MTMD控制下结构的动力可靠度进行对比。该方法不仅具有传统神经网络响应面法的特性,而且引进了遗传算法的全局随机搜索的优点,可以精确地逼近随机结构的功能函数表达式,有效地减少用JC法求解可靠度指标的迭代次数,节省时间。算例分析表明了本文方法的有效性和准确性,对于随机结构,MTMD比TMD能更好地提高结构的动力可靠度。
Considering the uncertainties of practical civil engineering structures,the neural network response surface method(NNRSM) combined with genetic optimization algorithm(GOA) was proposed to calculate the dynamic reliability of stoch-astic structure with TMD or MTMD.The method has the advantages of both the NNRSM and the GOA,which is provided with the global searching ability and can lead to optimum solution accurately of the performance function.And the number of iteration steps of JC method can be reduced effectively.The results of instances show that the method is effec tive and accurate.For the stochastic structure the MTMD can greatly improve the dynamic reliability more than TMD.
引文
[1]Rohman A.Opatimal control of tall buildings by appendages[J].StructEngrgASCE,1984,10(5):937-947.
    [2]秦权,林道锦,梅刚.结构可靠度随机有限元:理论及工程应用[M].北京:清华大学出版社,2006.9.
    [3]李春祥,熊学玉.结构MTMD地震反应控制最优参数研究[J].振动与冲击,1999,18(1):63-66.
    [4]李春祥,张丽卿.基于任意整数的多重调谐质量阻尼器[J].振动与冲击,2005,24(4):56-58.
    [5]李春祥,等.结构的多重双重调谐质量阻尼器控制策略[J].振动与冲击,2007,26(2):25-28.
    [6]李春祥,杜冬.MTMD对结构刚度和质量参数摄动的鲁棒性[J].振动与冲击,2004,23(1):38-40.
    [7]桂劲松,康海贵.计算结构可靠度的RBF神经网络响应面法[J].海洋工程,2004,22(3):81-84.
    [8]杨多和,安伟光,李铁钧.基于人工神经网络的结构可靠性分析[J].兵工学报,2007,28(4):495-498.
    [9]吴涛.用遗传算法优化神经网络权值[J].湛江师范学院学报,2007,28(3):120-122.
    [10]Jangid R S.Dynamic characteristics of structures with multi-ple tuned mass dampers[J].Structural Engineering and Me-chanics.1995,3(5):497-509.
    [11]李春祥.地震作用下高层钢结构的最优MTMD控制策略机设计[J].计算力学学报,2002,19(1):83-88.
    [12]朱位秋.随机振动[M].北京:科学出版社,1998.
    [13]Bucher C G,Bourgund U.AFast and Efficient Response Sur-face Approach for Structural Reliability Problems[J].Struc-tural Safety,1990,7:57-66.
    [14]陈颖,宁佐贵.基于神经网络响应面法的随机结构动力可靠度分析[J].振动与冲击,2007,26(1):65-68.

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