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Adaptive sampling in hierarchical simulation

✍ Scribed by J. Knap; N. R. Barton; R. D. Hornung; A. Arsenlis; R. Becker; D. R. Jefferson

Publisher
John Wiley and Sons
Year
2008
Tongue
English
Weight
615 KB
Volume
76
Category
Article
ISSN
0029-5981

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✦ Synopsis

Abstract

We propose an adaptive sampling methodology for hierarchical multi‐scale simulation. The method utilizes a moving kriging interpolation to significantly reduce the number of evaluations of finer‐scale response functions to provide essential constitutive information to a coarser‐scale simulation model. The underlying interpolation scheme is unstructured and adaptive to handle the transient nature of a simulation. To handle the dynamic construction and searching of a potentially large set of finer‐scale response data, we employ a dynamic metric‐tree database. We study the performance of our adaptive sampling methodology for a two‐level multi‐scale model involving a coarse‐scale finite element simulation and a fine‐scale crystal plasticity‐based constitutive law. Copyright © 2008 John Wiley & Sons, Ltd.

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