Title: A Discrete Continuum-Coupling Approach for Predicting Anisotropic Damages in Water-Saturated Brittle Rocks
Minisymposium: Multiscale Modeling of Granular Materials
Authors: WaiChing Sun* , Kun Wang
Time/Location: July 30, 2015 @ 11:40 a.m.-noon in Cove
Abstract: We develop a dual-scale model to predict the brittle behavior of water-saturated rocks under various drainage condition across length scale. In this formulation, we exploit the effect stress principle to partition stress stemming from grain contact and grain-to-grain bonding and those from fluid-solid interfaces at grain-scale. While the evolution of microstructures of solid skeleton is simulated explicitly at grain scale via discrete mechanics approach, the interaction of pore fluid and solid grain is captured at continuum scale via a mixed finite element u-p formulation. As a result, there is no need to incorporate phenomenological law to govern damage or phase field evolutions at the macroscopic continuum level. Various strategies to overcome mesh bias will be compared. Numerical examples will be used to demonstrate the accuracy and robustness of the multiscale multiphysics model.
Minisymposium: Multiscale Modeling of Granular Materials
Authors: WaiChing Sun* , Kun Wang
Time/Location: July 30, 2015 @ 11:40 a.m.-noon in Cove
Abstract: We develop a dual-scale model to predict the brittle behavior of water-saturated rocks under various drainage condition across length scale. In this formulation, we exploit the effect stress principle to partition stress stemming from grain contact and grain-to-grain bonding and those from fluid-solid interfaces at grain-scale. While the evolution of microstructures of solid skeleton is simulated explicitly at grain scale via discrete mechanics approach, the interaction of pore fluid and solid grain is captured at continuum scale via a mixed finite element u-p formulation. As a result, there is no need to incorporate phenomenological law to govern damage or phase field evolutions at the macroscopic continuum level. Various strategies to overcome mesh bias will be compared. Numerical examples will be used to demonstrate the accuracy and robustness of the multiscale multiphysics model.
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