These example plots show how the sensitivity of strength parameters, represented by different colors, changes as a function of strain rate, temperature, and strain. Parameters with low sensitivity across the conditions of interest may be fixed rather than estimated in subsequent analysis, effectively reducing the dimension of the problem.
(Download Image)Building confidence in materials modeling using statistics
LLNL statisticians, computational modelers, and materials scientists have been developing a statistical framework for researchers to better assess the relationship between model uncertainties and experimental data. The Livermore-developed statistical framework is intended to assess sources of uncertainty in strength model input, recommend new experiments to reduce those sources of uncertainty, and evaluate how existing sources of uncertainty in strength models impact physics codes that rely on those models. Read more at Science & Technology Review.
