Adaptive Quasicontinuum Methods and Simulations for Crystal Defects with a Theory based Unified a Posteriori Error Estimate
Hao Wang, Yangshuai Wang

TL;DR
This paper introduces a simple, unified residual-force based a posteriori error estimator for adaptive quasicontinuum methods, improving efficiency and accuracy in simulating crystal defects.
Contribution
It proposes a novel, unified error estimator for QC methods, validated through adaptive algorithms and simulations of various crystalline defects.
Findings
The estimator provides an upper bound of the true error.
Adaptive algorithms show improved convergence and efficiency.
Simulations of anti-plane crack demonstrate the estimator's effectiveness.
Abstract
Adaptive quasicontinuum (QC) methods are important methodologies in molecular mechanics for the simulations of materials with defects, intending to achieve the optimal balance of accuracy and efficiency on the fly. In this study, we propose a residual-force based a posteriori error estimate that is simple and is unified for consistent quasicontinuum methods, as opposed to the widely adopted residual-stress based a posteriori error estimates which are complicated and need to be derived for the particular QC method under consideration. The simple and unified formulation of the estimator, together with certain sampling techniques, leads to a highly efficient and adaptable implementation. We also prove in theory that the unified error estimator provides an upper bound of the true error. We develop adaptive algorithms based on this unified estimator and validate the algorithms by several…
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Taxonomy
TopicsAdvanced Mathematical Modeling in Engineering · Composite Material Mechanics · Block Copolymer Self-Assembly
