Adaptive Sampling in Hierarchical Simulation [electronic resource].
- Washington, D.C. : United States. Dept. of Energy, 2007. and Oak Ridge, Tenn. : Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy.
- Physical Description:
- PDF-file: 40 pages; size: 3.3 Mbytes
- Additional Creators:
- Lawrence Berkeley National Laboratory, United States. Department of Energy, and United States. Department of Energy. Office of Scientific and Technical Information
- 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 finer-scale crystal plasticity based constitutive law.
- Published through SciTech Connect., 07/09/2007., "ucrl-jrnl-232594", International Journal for Numerical Methods in Engineering, vol. 76, no. 4, October 22, 2008, pp. 572-600 76 4 ISSN 0029-5981; IJNMBH FT, and Barton, N R; Becker, R; Hornung, R D; Jefferson, D R; Arsenlis, A; Knap, J.
- Funding Information:
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