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A direct-integration-based structural reliability analysis method using non-probabilistic convex model

机译:基于直接集成的结构可靠性分析方法,使用非概率凸模型

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摘要

In practical structural reliability analysis, there is not only random uncertainty but also fuzzy uncertainty. Aiming at the fuzzy reliability of structure, a novel fuzzy reliability method is proposed based on direct integration method and ellipsoidal convex model. Firstly, the decomposition of fuzzy mathematics principle is used to convert fuzzy reliability model into non-probabilistic reliability model, in which fuzzy variables are converted into interval variables. The upper and lower bounds of interval variables are determined by the possibility distribution function on the membership value. Secondly, multidimensional ellipsoid convex models are constructed to quantify the uncertainty because of the complexity of non-probabilistic reliability. Finally, sigmoid function with adjustable parameter is introduced to direct integration method for approximating the step function, and then direct integration method is used to solve the fuzzy reliability. Numerical examples are investigated to demonstrate the effectiveness of the present method, which provides a feasible way for the structural fuzzy reliability analysis.
机译:在实际结构可靠性分析中,不仅存在随机的不确定性,而且还存在模糊不确定性。针对结构模糊可靠性,基于直接集成方法和椭圆形凸模型提出了一种新型模糊可靠性方法。首先,模糊数学原理的分解用于将模糊可靠性模型转换为非概率可靠性模型,其中模糊变量转换为间隔变量。间隔变量的上限和下限由成员值上的可能性分布函数决定。其次,由于非概率可靠性的复杂性,构建了多维椭球凸模型以量化不确定性。最后,引入了具有可调节参数的SIGMOID功能,以直接集成方法,用于近似阶梯功能,然后使用直接集成方法来解决模糊可靠性。研究了数值例证以证明本方法的有效性,这为结构模糊可靠性分析提供了一种可行的方式。

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