Modeling material stress using integrated Gaussian Markov random fields

The equations of a physical constitutive model for material stress within tantalum grains were solved numerically using a tetrahedrally meshed volume. The resulting output included a scalar vonMises stress for each of the more than 94,000 tetrahedra within the finite element discretization. In this...

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Veröffentlicht in:	Journal of applied statistics 2020-07, Vol.47 (9), p.1616-1636
Hauptverfasser:	Marcy, Peter W., Vander Wiel, Scott A., Storlie, Curtis B., Livescu, Veronica, Bronkhorst, Curt A.
Format:	Artikel
Sprache:	eng
Schlagworte:	Apexes Bayesian analysis blind deconvolution Constitutive models Data points Fields (mathematics) Gaussian Markov random field Grain boundaries Integrals large-scale inverse problem materials science Outliers (statistics) process convolution robust regression Sparse matrices Statistical methods Statistical models Stochastic processes Tantalum Tetrahedra Three dimensional models
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