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一种基于人工神经网络的响应曲面法在结构可靠性中的应用 被引量:4

Application of the Response Surface Method Based on Neural Networks to Structural Reliability Analysis
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摘要 响应曲面法在结构可靠性分析中常用于模拟不能明确表达的极限状态曲面 (即失效状态函数 )。本文以人工神经网络代替一般响应曲面的多项式函数 ,用于确定性结构分析 ,克服了多项式函数模拟某些极限状态曲面的局限性 。 The Response Surface Method is often used to simulate the ultimate state function, which is not been given exactly, in structural reliability analysis. In this paper, artificial neural network that replaces the polynomial function in RSM is applied to the reliability analysis of determined structures. It has been proved that this method can overcome the limitation of simulated polynomials, and achieved relatively high efficiency and good accuracy.
出处 《华东船舶工业学院学报》 EI 2001年第6期7-11,共5页 Journal of East China Shipbuilding Institute(Natural Science Edition)
基金 船舶行业基金项目 (院编 2 0 0 0 0 10 2 )
关键词 人工神经网络 响应曲面法 结构可靠性 极限状态曲面 工程结构 artificial neural networks response surface method structural reliability
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参考文献4

  • 1[1]BUCHER C G.A fast efficient response surface approach for structural reliability problems[J].Structural Safety,1990(7):57-66. 被引量:1
  • 2[3]KIM S H, NA S W.Response surface method using vector projected sampling points[J].Structural Safety, 1997,19(1):3-19. 被引量:1
  • 3[4]DAS P K, ZHENG Y.Cumulative formation of response surface and its use in reliability analysis[J].Probability Engineering Mechanics.2000,15:309-315. 被引量:1
  • 4赵国藩.可靠性理论及其在工程结构中的应用[M].大连:大连理工大学出版社,1996. 被引量:2

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