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Reliability analysis and updating of deteriorating systems with subset simulation

机译:退化仿真系统的可靠性分析和子集更新

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An efficient approach to reliability analysis of deteriorating structural systems is presented, which considers stochastic dependence among element deterioration. Information on a deteriorating structure obtained through inspection or monitoring is included in the reliability assessment through Bayesian updating of the system deterioration model. The updated system reliability is then obtained through coupling the updated deterioration model with a probabilistic structural model. The underlying high dimensional structural reliability problems are solved using subset simulation, which is an efficient and robust sampling-based algorithm suitable for such analyses. The approach is demonstrated in two case studies considering a steel frame structure and a Daniels system subjected to high-cycle fatigue. (C) 2016 Elsevier Ltd. All rights reserved.
机译:提出了一种退化结构系统可靠性分析的有效方法,该方法考虑了元件退化之间的随机依赖性。通过检查或监视获得的有关结构恶化的信息包括在通过系统退化模型的贝叶斯更新进行的可靠性评估中。然后,通过将更新的劣化模型与概率结构模型耦合,可以获得更新的系统可靠性。使用子集仿真解决了潜在的高维结构可靠性问题,子集仿真是一种适用于此类分析的高效且鲁棒的基于采样的算法。该方法在两个案例研究中得到了证明,其中考虑了钢框架结构和经受高周疲劳的Daniels系统。 (C)2016 Elsevier Ltd.保留所有权利。

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