Uncertainty Quantification in Multiscale Simulation of Materials: A Prospective

被引:93
作者
Chernatynskiy, Aleksandr [1 ]
Phillpot, Simon R. [1 ]
LeSar, Richard [2 ]
机构
[1] Univ Florida, Dept Mat Sci & Engn, Gainesville, FL 32611 USA
[2] Iowa State Univ, Dept Mat Sci & Engn, Ames, IA 50011 USA
来源
ANNUAL REVIEW OF MATERIALS RESEARCH, VOL 43 | 2013年 / 43卷
关键词
nonadditive probability; sensitivity analysis; uncertainty quantification; SENSITIVITY-ANALYSIS; THERMODYNAMIC PROPERTIES; MODEL-ROBUST; LIQUID WATER; DEFORMATION; PROPAGATION; POTENTIALS; FRAMEWORK; METALS; DESIGN;
D O I
10.1146/annurev-matsci-071312-121708
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Simulation has long since joined experiment and theory as a valuable tool to address materials problems. Analysis of errors and uncertainties in experiment and theory is well developed; such analysis for simulations, particularly for simulations linked across length scales and timescales, is much less advanced. In this prospective, we discuss salient issues concerning uncertainty quantification (UQ) from a variety of fields and review the sparse literature on UQ in materials simulations. As specific examples, we examine the development of atomistic potentials and multiscale simulations of crystal plasticity. We identify needs for conceptual advances, needs for the development of best practices, and needs for specific implementations.
引用
收藏
页码:157 / 182
页数:26
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