Journal article
Direct numerical simulations in solid mechanics for understanding the macroscale effects of microscale material variability
Computer methods in applied mechanics and engineering, v 287(C)
15 Apr 2015
Abstract
A fundamental challenge for the quantification of uncertainty in solid mechanics is understanding how microscale material variability is manifested at the macroscale. In an era of petascale computing and future exascale computing, it is now possible to perform direct numerical simulations (DNS) in solid mechanics where the microstructure is modeled directly in a macroscale structure. Using this DNS capability, we investigate the macroscale response of polycrystalline microstructures and the accuracy of homogenization theory for upscaling the microscale response. Using a massively parallel finite-element code, we perform an ensemble of direct numerical simulations in which polycrystalline microstructures are embedded throughout a macroscale structure. The largest simulations model approximately 420 thousand grains within an I-beam. The inherently random DNS results are compared with corresponding simulations based on the deterministic governing equations and material properties obtained from homogenization theory. Evidence is sought for both surface effects and other higher-order effects as predicted by homogenization theory for macroscale structures containing finite microstructures. (C) 2015 Elsevier B.V. All rights reserved.
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Details
- Title
- Direct numerical simulations in solid mechanics for understanding the macroscale effects of microscale material variability
- Creators
- Joseph E. Bishop - Sandia National Laboratories CaliforniaJohn M. Emery - Sandia National Laboratories CaliforniaRichard V. Field - Sandia Natl Labs, Engn Sci Ctr, Albuquerque, NM 87185 USAChristopher R. Weinberger - Drexel UniversityDavid J. Littlewood - Sandia National Laboratories California
- Publication Details
- Computer methods in applied mechanics and engineering, v 287(C)
- Publisher
- Elsevier
- Number of pages
- 28
- Grant note
- DE-AC04-94AL85000 / US Department of Energy's National Nuclear Security Administration; National Nuclear Security Administration
- Resource Type
- Journal article
- Language
- English
- Web of Science ID
- WOS:000350798900012
- Scopus ID
- 2-s2.0-84923275641
- Other Identifier
- 991019350599204721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Engineering, Multidisciplinary
- Mathematics, Interdisciplinary Applications
- Mechanics