Seismic reliability analysis using Subset Simulation enhanced with an explorative adaptive conditional sampling algorithm

IF 3 3区 工程技术 Q2 ENGINEERING, MECHANICAL
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引用次数: 0

Abstract

Reliability analysis of structures under earthquake loading represents a significant engineering challenge. This is due to the required and rather numerically involving non-linear dynamic analysis, the large computational burden when targeting small failure probabilities, and the synthetic earthquake model representation that may contain thousands of random variables. Subset Simulation is an efficient reliability analysis technique that can handle the challenge of a high-dimensional space with a reduced number of structural analysis calls compared to crude Monte Carlo Simulation. In this contribution, firstly, we investigate the conditions for which Subset Simulation performs efficiently. Thereafter we propose an enhancement to the existing Subset Simulation schemes that shows significant potentials for enhancing the strategy for the starting of the Markov Chain Monte Carlo simulations whenever a new level is reached in the Subset Simulation. Finally, the information gathered from the simulations is investigated to verify that Subset Simulation provides meaningful results from a physical point of view.
利用探索性自适应条件采样算法增强子集模拟进行地震可靠性分析
地震荷载下的结构可靠性分析是一项重大的工程挑战。这是因为需要进行非线性动态分析,且涉及大量数值计算;当分析目标为较小的失效概率时,计算负担会很大;合成地震模型表示可能包含数千个随机变量。子集模拟是一种高效的可靠性分析技术,与粗略的蒙特卡罗模拟相比,它可以通过减少结构分析调用次数来应对高维空间的挑战。在本文中,我们首先研究了子集模拟高效执行的条件。然后,我们对现有的子集模拟方案提出了一个改进方案,该方案在子集模拟中每达到一个新水平时,都能显示出改进马尔可夫链蒙特卡罗模拟启动策略的巨大潜力。最后,我们对从模拟中收集到的信息进行了研究,以验证子集模拟从物理角度提供了有意义的结果。
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来源期刊
Probabilistic Engineering Mechanics
Probabilistic Engineering Mechanics 工程技术-工程:机械
CiteScore
3.80
自引率
15.40%
发文量
98
审稿时长
13.5 months
期刊介绍: This journal provides a forum for scholarly work dealing primarily with probabilistic and statistical approaches to contemporary solid/structural and fluid mechanics problems encountered in diverse technical disciplines such as aerospace, civil, marine, mechanical, and nuclear engineering. The journal aims to maintain a healthy balance between general solution techniques and problem-specific results, encouraging a fruitful exchange of ideas among disparate engineering specialities.
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