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A preconditioner for the finite element computation of incompressible, nonlinear elastic deformations

机译:用于不可压缩,非线性弹性变形的有限元计算的预处理器

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Large, incompressible elastic deformations are governed by a system of nonlinear partial differential equations. The finite element discretisation of these partial differential equations yields a system of nonlinear algebraic equations that are usually solved using Newton's method. On each iteration of Newton's method, a linear system must be solved. We exploit the structure of the Jacobian matrix to propose a preconditioner, comprising two steps. The first step is the solution of a relatively small, symmetric, positive definite linear system using the preconditioned conjugate gradient method. This is followed by a small number of multigrid V-cycles for a larger linear system. Through the use of exemplar elastic deformations, the preconditioner is demonstrated to facilitate the iterative solution of the linear systems arising. The number of GMRES iterations required has only a very weak dependence on the number of degrees of freedom of the linear systems.
机译:大型不可压缩的弹性变形由非线性偏微分方程系统控制。 这些部分微分方程的有限元分离子产生了通常使用牛顿的方法解决的非线性代数方程的系统。 在牛顿方法的每次迭代中,必须解决线性系统。 我们利用雅可比矩阵的结构来提出一个预处理器,包括两个步骤。 第一步是使用预先处理的共轭梯度法的相对较小,对称的正确定线性系统的解决方案。 接下来是少量的多基线V-Cycles,用于较大的线性系统。 通过使用示例性弹性变形,证明了预处理器以促进所产生的线性系统的迭代溶液。 所需的GMRES迭代的数量只有对线性系统自由度的数量的依赖性非常弱。

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