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Fuzzy Cluster Design:A New Way for Structural Design

机译:模糊聚类设计:结构设计的新方法

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摘要

In this paper a fuzzy method for determining appropriate structural design is presented. Non-stochastic uncertainty is quanti ed using fuzzy values and fuzzy random variables. Fuzzy structural parameters are processed on the basis of a generally applicable numerical method for arbitrary linear and nonlinear fuzzy structural analyses. Fuzzy randomness is introduced into a fuzzy probabilistic safety assessment, which is formulated by extending common probabilistic concepts. From these applications fuzzy results are obtained as fuzzy structural responses and fuzzy safety levels. These fuzzy results are compared to permissible values and assessed using Shannon's entropy and defuzzi cation algorithms. Referring to permissible structural responses and safety levels uncertain structural design parameters are derived by applying a fuzzy cluster analysis to the fuzzy structural parameters and fuzzy parameters of fuzzy random variables. The nonlinear fuzzy structural analysis including uncertain structural design is demonstrated by way of an example.
机译:在本文中,提出了一种用于确定适当的结构设计的模糊方法。使用模糊值和模糊随机变量对非随机不确定性进行量化。模糊结构参数是根据适用于任意线性和非线性模糊结构分析的通用数值方法进行处理的。将模糊随机性引入模糊概率安全性评估中,该评估是通过扩展常见概率性概念来制定的。从这些应用中获得了模糊结果,即模糊结构响应和模糊安全等级。将这些模糊结果与允许值进行比较,并使用香农的熵和去模糊算法进行评估。参照允许的结构响应和安全水平,通过对模糊结构参数和模糊随机变量的模糊参数进行模糊聚类分析,得出不确定的结构设计参数。举例说明了包括不确定结构设计在内的非线性模糊结构分析。

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