ICAMS / Interdisciplinary Centre for Advanced Materials Simulation

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Robust numerical schemes for an efficient implementation of tangent matrices: Application to hyperelasticity, inelastic standard dissipative materials and thermo-mechanics at finite strains

M. Tanaka, D. Balzani, J. Schröder.

Lecture Notes in Applied and Computational Mechanics, 81, 1-23, (2016)

Abstract
In this contribution robust numerical schemes for an efficient implementation of tangent matrices in finite strain problems are presented and their performance is investigated through the analysis of hyperelastic materials, inelastic standard dissipative materials in the context of incremental variational formulations, and thermo-mechanics. The schemes are based on highly accurate and robust numerical differentiation approaches which use non-real numbers, i.e., complex variables and hyper-dual numbers. The main advantage of these approaches are that, contrary to the classical finite difference scheme, no round-off errors in the perturbations due to floating-point arithmetics exist within the calculation of the tangent matrices. This results in a method which is independent of perturbation values (in case of complex step derivative approximations if sufficiently small perturbations are chosen). An efficient algorithmic treatment is presented which enables a straightforward implementation of the method in any standard finite-element program. By means of hyperelastic, finite strain elastoplastic, and thermo-elastoplastic boundary value problems, the performance of the proposed approaches is analyzed. © Springer International Publishing Switzerland 2016.


Keyword(s): boundary value problems; differentiation (calculus); digital arithmetic; elasticity; elastoplasticity; finite difference method; matrix algebra; reactor cores; strain; classical finite difference scheme; efficient implementation; elasto-plastic boundaries
Cite as: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84978300326&doi=10.1007%2f978-3-319-39022-2_1&partnerID=40&md5=8ca79735412b896d4edd62b9e9d5b474
DOI: 10.1007/978-3-319-39022-2_1
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