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On applying fuzzy arithmetic to finite element problems

机译:关于将模糊算法应用于有限元问题

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摘要

Fuzzy arithmetic, based on Zadeh's (1973) extension principle, is applied to solve finite element problems with uncertain parameters. As an example, a rather simple, one-dimensional static problem consisting of a two-component massless rod under tensile load is considered. Application of fuzzy arithmetic directly to the traditional techniques for the numerical solution of finite elements, i.e. primarily on the algorithms for solving systems of linear equations, however turns out to be impracticable in all circumstances. In contrast to the use of exclusively crisp numbers, the results for the calculations including fuzzy numbers usually differ to a large extent depending on the solution technique applied. The uncertainties expressed in the different calculation results are then basically twofold. On one hand, uncertainty is caused by the presence of parameters with fuzzy value, whilst on the other, an additional undesirable uncertainty is artificially created by the solution technique itself. For this reason, an overview of the most common techniques for solving finite element problems is offered, rating them with respect to minimizing the occurence of artificial uncertainties. Moreover a special technique is outlined which leads to modified solution procedures with reduced artificial uncertainties.
机译:基于Zadeh(1973)扩展原理的模糊算法用于求解具有不确定参数的有限元问题。例如,考虑了一个相当简单的一维静态问题,该问题由拉伸载荷下的两组分无质量杆组成。直接将模糊算法应用于有限元数值解的传统技术,即主要应用于求解线性方程组的算法,但事实证明在所有情况下都不可行。与仅使用清脆数字不同,包括模糊数字在内的计算结果通常在很大程度上取决于所采用的求解技术。那么,在不同计算结果中表达的不确定性基本上是双重的。一方面,不确定性是由存在模糊值的参数引起的,而另一方面,求解技术本身会人为地产生其他不希望的不确定性。因此,提供了解决有限元问题的最常用技术的概述,并就最大限度地减少人为不确定性的发生对它们进行了评级。此外,概述了一种特殊技术,该技术可导致改进的求解程序,从而减少人为的不确定性。

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