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The heterogeneous multiscale method as a framework for coupling the finite element method and molecular dynamics
Author(s) -
Ulz Manfred H.
Publication year - 2014
Publication title -
pamm
Language(s) - English
Resource type - Journals
ISSN - 1617-7061
DOI - 10.1002/pamm.201410273
Subject(s) - microscale chemistry , multiscale modeling , finite element method , coupling (piping) , solver , statistical physics , computer science , macro , scale (ratio) , molecular dynamics , computational science , algorithm , mathematics , physics , computational chemistry , mechanical engineering , chemistry , engineering , mathematics education , quantum mechanics , programming language , thermodynamics
Hierarchical two‐scale methods are computationally very powerful as there is no direct coupling between the macro‐ and microscale. Such schemes develop first a microscale model under macroscopic constraints, then the macroscopic constitutive laws are found by averaging over the microscale. The heterogeneous multiscale method (HMM) is a general top‐down approach for the design of multiscale algorithms. While this method is mainly used for concurrent coupling schemes in the literature, the proposed methodology also applies to a hierarchical coupling. This contribution discusses a hierarchical two‐scale setting based on the heterogeneous multi‐scale method for quasi‐static problems: the macroscale is treated by continuum mechanics and the finite element method and the microscale is treated by statistical mechanics and molecular dynamics. Our investigation focuses on an optimised coupling of solvers on the macro‐ and microscale which yields a significant decrease in computational time with no associated loss in accuracy. In particular, the number of time steps used for the molecular dynamics simulation is adjusted at each iteration of the macroscopic solver. A numerical example demonstrates the performance of the model. (© 2014 Wiley‐VCH Verlag GmbH & Co. KGaA, Weinheim)