Statistical upscaling of stochastic forcing in multiscale, multiphysics modeling
Date
2019
Authors
Vollmer, Charles T., author
Estep, Don, advisor
Tavener, Simon, committee member
Breidt, Jay, committee member
Cooley, Dan, committee member
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Abstract
Modeling nuclear radiation damage necessarily involves multiple scales in both time and space, where molecular-level models have drastically different assumptions and phenomena than continuumlevel models. In this thesis, we propose a novel approach to explicitly coupling these multiple scales of the microstructure damage of radiation in materials. Our proposed stochastic process is a statistical upscaling from physical first principals that explicitly couples the micro, meso, and macro scales of materials under irradiation.
Description
Rights Access
Subject
materials modeling
multiscale
stochastic processes
multiphysics
cellular automata
probabilistic cellular automata