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Improved algorithm for the detection of bifurcation points in nonlinear finite element problems

机译:非线性有限元问题中分叉点检测的改进算法

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Dealing with bifurcation points when solving large deformation finite element problems is not an easy task. Near such points, the Jacobian matrix becomes singular and the problem becomes difficult to solve numerically. In these situations, increasing heuristically the loading parameter during the simulation in order to follow the solution branch is not an option as this approach usually results in the divergence of the process. Efficient numerical techniques capable of handling the presence of bifurcation points are therefore necessary and continuation methods have proved to be powerful tools when dealing with these kind of issues. In Leger et al. (2015), a new implementation technique based on a Schur complement approach for the Moore-Penrose continuation method, which facilitates the detection of bifurcation points and enables branch following, was presented. This method has proved to perform well in most situations; however, in others (i.e. when mesh adaptation is added to the algorithm), some difficulties appear. In this paper, we therefore present an improved approach, which is much more robust, for the detection of bifurcation points in nonlinear finite element problems. Numerical examples will be presented to show the efficiency of the new approach. (C) 2017 Elsevier Ltd. All rights reserved.
机译:解决大变形有限元问题时处理分叉点并非易事。在这些点附近,雅可比矩阵变得奇异,问题变得难以数值求解。在这些情况下,在模拟过程中试探性地增加加载参数以遵循求解分支是不可行的,因为这种方法通常会导致过程分歧。因此,必须有一种能够处理分叉点存在的有效数值技术,并且连续方法已被证明是处理此类问题的有力工具。在Leger等人中。 (2015年),提出了一种基于Schur互补方法的Moore-Penrose连续方法的新实现技术,该技术可促进分叉点的检测并实现分支跟踪。事实证明,这种方法在大多数情况下都可以执行。但是,在其他情况下(即将网格自适应添加到算法中时),会出现一些困难。因此,在本文中,我们提出了一种改进的方法,该方法更加健壮,可用于检测非线性有限元问题中的分叉点。将通过数值示例说明新方法的有效性。 (C)2017 Elsevier Ltd.保留所有权利。

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