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基于微粒群算法的区间模型非概率可靠性指标的计算 被引量:5

Calculation of non-probabilistic reliability index of interval model based on PSO
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摘要 把工程实际中的不确定参数考虑为区间变量,研究基于微粒群算法的区间模型非概率可靠性指标的计算。利用非概率可靠性指标只存在于过标准化区间变量张成的空间顶点和原点的直线与功能函数的交点,建立基于微粒群算法的优化模型,并对目标函数进行改进,使其更利于优化计算。一系列数值算例和与以前方法的比较证明了该方法计算简便,结论较为精确,具有一定的可行性。 The uncertain parameters in engineering is considered as interval variables and the non-probabi-listic reliability index of interval model based on particle swarm optimization is studied. Based on the conclusions that the non-probabilistic reliability index exists only in the line which through the vertex and the origin in the space extended by the standard interval variables and function, establish the optimi-zation model based on PSO and improve the objective function to make it more conducive to calculate. Through a series of numerical examples and comparison with previous methods,the method is proved to be simple and accurate, and it has a certain feasibility.
出处 《计算力学学报》 CAS CSCD 北大核心 2016年第6期863-867,共5页 Chinese Journal of Computational Mechanics
基金 国家自然科学基金(51275329)资助项目
关键词 区间模型 非概率可靠性指标 一维优化算法 微粒群算法 interval model non-probabilistie reliability index one dimensional optimization algorithm PSO
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