Virtual model validation of complex multiscale systems: applications to nonlinear elastostatics

DOI10.1016/j.cma.2013.07.011zbMath1286.62016OpenAlexW2045683171MaRDI QIDQ2450416

J. Tinsley Oden, Paul T. Bauman, Ernesto E. Prudencio

Publication date: 14 May 2014

Published in: Computer Methods in Applied Mechanics and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cma.2013.07.011

zbMATH Keywords

mutual informationKullback-Leibler divergenceBayesian inferencemodel validationinformation entropyuncertainty quantification

Mathematics Subject Classification ID

Theory of statistical experiments (62B15) Bayesian inference (62F15) Applications of statistics in engineering and industry; control charts (62P30) Nonlinear elasticity (74B20) Measures of information, entropy (94A17)

Related Items (4)

A Bayesian framework for adaptive selection, calibration, and validation of coarse-grained models of atomistic systems ⋮ Toward selecting optimal predictive multiscale models ⋮ An iterative Bayesian filtering framework for fast and automated calibration of DEM models ⋮ Calibration and validation of coarse-grained models of atomic systems: application to semiconductor manufacturing

Uses Software

• AMBER
• Gromacs
• CHARMM
• QUESO

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