Evidential Uncertainty Quantification of Dynamic Response Spectrum Analysis
Evidential Uncertainty Quantification of Dynamic Response Spectrum Analysis
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DOI：
10.4028/www.scientific.net/amm.501-504.690
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发表时间：
2014-01
期刊：
影响因子：
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通讯作者：
He-Sheng Tang;W. Yao;L. Deng;Yu Su;Jiao Wang
中科院分区：
文献类型：
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作者：
He-Sheng Tang;W. Yao;L. Deng;Yu Su;Jiao Wang
本研究提出一种证据不确定性量化方法，用于具有认知不确定性的结构系统的动力反应谱分析。本方法使用证据理论来量化结构参数（如材料特性）中存在的不确定性。为了解决基于证据理论的UQ分析中的计算困难，提出了一种基于差分进化的区间优化边界计算方法。通过与概率论和区间法的比较，考察了该方法的计算效率和精度。
This study presents an evidential uncertainty quantification (UQ) approach for dynamic response spectrum analysis of a structural system with epistemic uncertainty. The present method is performed using an evidence theory to quantify the uncertainty present in the structures parameters such as material properties. In order to alleviate the computational difficulties in the evidence theory based UQ analysis, a differential evolution (DE) based interval optimization for computing bounds method is developed. With comparison of probability theory and interval method, the computational efficiency and accuracy of this approach method are also investigated.