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This paper presents a computational framework that generates ensemble predictive mechanics models with uncertainty quantification (UQ).
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Earlier work this paper cites.
Critical state soil mechanics
Andrew Schofield and Peter Wroth · 1968
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Clive WJ Granger · 1969
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Continuum theory of ductile rupture by void nucleation and growth: Part i—yield criteria and flow rules for porous ductile media
Arthur L Gurson · 1977
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Constitution of mechanics of granular materials through the graph theory
M Satake · 1978
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Peter A Cundall and Otto DL Strack · 1979
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David Muir Wood · 1990
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Václav Šmilauer, Emanuele Catalano, Bruno Chareyre, Sergei Dorofeenko, Jerome Duriez, Anton Gladky, Janek Kozicki, Chiara Modenese, Luc Scholtès, Luc Sibille, et al · 2010
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