Probabilistic Micromechanics in Constitutive Modeling of Granular Material

by Ching S. Chang, Univ of Massachusetts, Amherst, United States,



Document Type: Proceeding Paper

Part of: Engineering Mechanics

Abstract: This paper gives a review of newly developed probabilistic methods for analysis of the effect of randomness in geometry and physical properties at the microscale on their macroscale response for granular material. Two problem areas are discussed: 1) characterization of the stochastic geometry for granular material as a collection of particles, and 2) averaging process for obtaining macroscale response.

Subject Headings: Granular materials | Material properties | Geometrics | Stochastic processes | Materials processing | Micromechanics | Constitutive relations

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