A stochastic model updating strategy-based improved response surface model and advanced Monte Carlo simulation
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- 作者：Xue Zhaia ; Cheng-Wei Feia ; b ; Feicw544@163.com" class="auth_mail" title="E-mail the corresponding author ; Yat-Sze Choyb ; Jian-Jun Wanga
- 关键词：Stochastic model updating ; Response surface model ; Monte Carlo simulation ; Moving least-squares method ; Design of experiment ; Experimental static test
- 刊名：Mechanical Systems and Signal Processing
- 出版年：2017
- 出版时间：1 January 2017
- 年：2017
- 卷：82
- 期：Complete
- 页码：323-338
- 全文大小：2508 K
文摘
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Improve a response surface model with moving least-square method.
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Develop an advanced Monte Carlo simulation-based Latin Hypercube sampling method.
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Propose a stochastic model updating (SMU) strategy by combining the proposed methods, prior information and uncertainties.
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High computational efficiency and accuracy for the presented approaches and strategy.
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Enrich and develop the theory and methodology of model updating for complex structure.