Dynamic response and reliability analysis of structures with uncertain parameters

An original approach for dynamic response and reliability analysis of stochastic structures is proposed. The probability density evolution equation is established which implies that incremental rate of the probability density function is related to the structural response velocity. Therefore, the re...

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Published inInternational journal for numerical methods in engineering Vol. 62; no. 2; pp. 289 - 315
Main Authors Li, Jie, Chen, Jian-Bing
Format Journal Article
LanguageEnglish
Published Chichester, UK John Wiley & Sons, Ltd 14.01.2005
Wiley
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ISSN0029-5981
1097-0207
DOI10.1002/nme.1204

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Summary:An original approach for dynamic response and reliability analysis of stochastic structures is proposed. The probability density evolution equation is established which implies that incremental rate of the probability density function is related to the structural response velocity. Therefore, the response analysis of stochastic structures becomes an initial‐value partial differential equation problem. For the dynamic reliability problem, the solution can be derived through solving the probability density evolution equation with an initial value condition and an absorbing boundary condition corresponding to specified failure criterion. The numerical algorithm for the proposed method is suggested by combining the precise time integration method and the finite difference method with TVD scheme. To verify and validate the proposed method, a SDOF system and an 8‐storey frame with random parameters are investigated in detail. In the SDOF system, the response obtained by the proposed method is compared with the counterparts by the exact solution. The responses and the reliabilities of a frame with random stiffness, subject to deterministic excitation or random excitation, are evaluated by the proposed method as well. The mean, the standard deviation and the reliabilities are compared, respectively, with the Monte Carlo simulation. The numerical examples verify that the proposed method is of high accuracy and efficiency. Moreover, it is found that the probability transition of structural responses is like water flowing in a river with many whirlpools, showing complexity of probability transition process of the stochastic dynamic responses. Copyright © 2004 John Wiley & Sons, Ltd.
Bibliography:ArticleID:NME1204
ark:/67375/WNG-LZSPQ5C6-C
Natural Science Funds for the Innovative Research Groups of China - No. 50321803
istex:365AD66767F2FCF7AE174D79375058757B99EBEF
Natural Science Funds for Distinguished Young Scholars of China - No. 59825105
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ISSN:0029-5981
1097-0207
DOI:10.1002/nme.1204