Geometric uncertainties in finite element analysis

S. Chinchalkar , D.L. Taylor
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引用次数: 11

Abstract

This paper demonstrates the use of automatic differentiation in solving finite element problems with random geometry. In the area of biomechanics, the shape and size of the domain is often known only approximately. Stochastic finite element analysis can be used to compute the variability in the structural response as a result of variability in the shape of the structural domain. Automatic differentiation can be used to compute the shape sensitivites accurately and effortlessly. Unlike randomness in material properties, the response variability can be the same as or greater than the variability in the input. When both the Young's modulus and geometry are random, it is likely that randomness in geometry will dominate randomness in Young's modulus.

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有限元分析中的几何不确定性
本文证明了自动微分法在求解随机几何有限元问题中的应用。在生物力学领域,结构域的形状和大小通常只是大致已知的。随机有限元分析可以用来计算结构响应的变异性,这是结构域形状变异性的结果。自动微分法可以准确、轻松地计算形状灵敏度。与材料特性的随机性不同,响应可变性可以等于或大于输入的可变性。当杨氏模量和几何模量都是随机的时候,很可能几何模量的随机性会压倒杨氏模量的随机性。
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