| 基于小波神经网络的结构系统可靠性优化设计 |
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| 引用本文： | 刘仁云,于繁华,张义民.基于小波神经网络的结构系统可靠性优化设计[J].吉林大学学报(工学版),2009(Z1). |
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| 作者姓名： | 刘仁云 于繁华 张义民 |
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| 作者单位： | 长春师范学院数学学院;长春师范学院计算机科学与技术学院;东北大学机械工程与自动化学院; |
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| 基金项目： | 国家自然科学基金项目(50535010) |
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| 摘 要： | 针对具有非正态随机参数的可靠性优化设计,利用随机摄动-Edgeworth级数方法,将可靠性概率约束转化为等价的确定型约束,并运用优化算法求取结构可靠性优化设计的初始点。利用随机模拟-小波神经网络方法有效地解决了具有多失效模式的结构系统可靠性优化设计中系统功能函数难以显性表达的问题。并利用网络的逆映射功能实现了结构系统可靠性优化设计,实验结果表明上述方法是行之有效的。
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| 关 键 词： | 固体力学 小波神经网络 非正态随机参数 可靠性优化设计 随机摄动技术 Edge-worth级数 |
Wavelet neural net-based reliability design optimization for structural system |
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| LIU Ren-yun,YU Fan-hua,ZHANG Yi-min.Wavelet neural net-based reliability design optimization for structural system[J].Journal of Jilin University:Eng and Technol Ed,2009(Z1). |
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| Authors: | LIU Ren-yun YU Fan-hua ZHANG Yi-min |
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| Affiliation: | 1.School of Mathematics;Changchun Normal University;Changchun 130032;China;2.School of Computer Science & Technology;3.School of Mechanical Engineering and Automation;Northeastern University;Shenyang 110004;China |
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| Abstract: | The probability constraint is transferred into equivalent determinate constraint by Probabilistic Perturbation method and Edgeworth series method in reliability design optimization with non-normal random parameters.Thus,the initial design point in structural system for reliability design optimization can be obtained by optimization methods.In the case of system with multi-failure modes,the Monte Carlo Stochastic-Wavelet Neural Network(MCS-WNN) method is presented to solve the problem that system function is... |
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| Keywords: | solid-state mechanics wavelet neural net non-normal random parameter reliability design optimization probabilistic perturbation technology Edgeworth series |
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