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MTMD控制下随机结构的动力可靠度分析
引用本文:卜国雄,谭平,周福霖. MTMD控制下随机结构的动力可靠度分析[J]. 振动与冲击, 2009, 28(5): 119-123. DOI:  
作者姓名:卜国雄  谭平  周福霖
作者单位:1.哈尔滨工业大学深圳研究生院,深圳,518055;2.广州大学,教育部工程抗震减震与结构安全重点实验室, 广州,510405
基金项目:国家自然科学基金,教育部高等学校博士学科点专项科研基金 
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。

关 键 词:TMD   MTMD   遗传优化   响应面法   随机结构   动力可靠度   
收稿时间:2008-05-26
修稿时间:2008-08-04

Dynamic reliability analysis on stochastic structure with MTMD control
BU Guo-Xiong,TAN Ping,ZHOU Fu-Lin. Dynamic reliability analysis on stochastic structure with MTMD control[J]. Journal of Vibration and Shock, 2009, 28(5): 119-123. DOI:  
Authors:BU Guo-Xiong  TAN Ping  ZHOU Fu-Lin
Affiliation:1.Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, 518055,P.R China; 2. Key Laboratory of Earthquake Resistance and Absorption Engineering & Structure Safety of Ministry of Education, Guangzhou University, Guangzhou, 510405, P. R. China
Abstract:Considering the uncertainties of practical civil engineering structures, the Neural Network Response Surface Method optimized by Genetic Optimization Algorithm has been proposed to calculate the dynamic reliability of stoch- astic structure with TMD and MTMD. This method has both of the advantages of Neural Network Response Surface Method and the global search of GA, which can approach to optimum solution accurately of the performance function. And the iteration steps of JC method can be reduced effectively. The results of instance show that this method is effec- tive and accurate. For the stochastic structure the MTMD can greatly improve the dynamic reliability than TMD.
Keywords:TMD  MTMD
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