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Matlab codes of Subset Simulation for reliability analysis and structural optimization

机译:用于可靠性分析和结构优化的子集仿真的Matlab代码

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This paper presents two efficient and compact Matlab codes of Subset Simulation for reliability analysis and structural optimization. The codes for reliability analysis and structural optimization comprise of the direct Monte Carlo and Markov Chain Monte Carlo. The theoretical and numerical elements of Subset Simulation are briefly presented in this paper, as well as the detailed instructions to implement the standard codes for solving reliability analysis and structural optimization problems. The paper also discusses simple extensions of argument check, post-processing, alternative stop criterion and constraint-handling. Four examples are presented to demonstrate these codes, two for reliability analysis and two for structural optimization. This paper will be helpful for the students and newcomers both in reliability analysis and structural optimization to understand and use Subset Simulation. The complete codes are included in Appendixes 1 and 2, and they can be downloaded from https://sites.google.com/site/rasosubsim/.
机译:本文提出了两个高效而紧凑的子集仿真Matlab代码,用于可靠性分析和结构优化。可靠性分析和结构优化的代码包括直接的蒙特卡洛和马尔可夫链蒙特卡洛。本文简要介绍了子集仿真的理论和数值元素,以及实施标准代码以解决可靠性分析和结构优化问题的详细说明。本文还讨论了参数检查,后处理,替代停止准则和约束处理的简单扩展。给出了四个示例来演示这些代码,两个用于可靠性分析,两个用于结构优化。本文将对可靠性分析和结构优化方面的学生和新手有所帮助,以帮助他们理解和使用子集仿真。完整的代码包含在附录1和2中,可以从https://sites.google.com/site/rasosubsim/下载。

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