4.7 Article

A robust and efficient iterative method for hyper-elastodynamics with nested block preconditioning

期刊

JOURNAL OF COMPUTATIONAL PHYSICS
卷 383, 期 -, 页码 72-93

出版社

ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.jcp.2019.01.019

关键词

Variational multiscale method; Saddle-point problem; Nested iterative method; Block preconditioner; Anisotropic incompressible hyperelasticity; Arterial wall model

资金

  1. National Institutes of Health [1R01HL121754, 1R01HL123689]
  2. National Science Foundation (NSF) CAREER award [OCI-1150184]
  3. NSF [ACI-1053575]

向作者/读者索取更多资源

We develop a robust and efficient iterative method for hyper-elastodynamics based on a novel continuum formulation recently developed in [1]. The numerical scheme is constructed based on the variational multiscale formulation and the generalized-alpha method. Within the nonlinear solution procedure, a block factorization is performed for the consistent tangent matrix to decouple the kinematics from the balance laws. Within the linear solution procedure, another block factorization is performed to decouple the mass balance equation from the linear momentum balance equations. A nested block preconditioning technique is proposed to combine the Schur complement reduction approach with the fully coupled approach. This preconditioning technique, together with the Krylov subspace method, constitutes a novel iterative method for solving hyper-elastodynamics. We demonstrate the efficacy of the proposed preconditioning technique by comparing with the SIMPLE preconditioner and the one-level domain decomposition preconditioner. Two representative examples are studied: the compression of an isotropic hyperelastic cube and the tensile test of a fully-incompressible anisotropic hyperelastic arterial wall model. The robustness with respect to material properties and the parallel performance of the preconditioner are examined. (C) 2019 Elsevier Inc. All rights reserved.

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