Statistical upscaling of stochastic forcing in multiscale, multiphysics modeling
| dc.contributor.author | Vollmer, Charles T., author | |
| dc.contributor.author | Estep, Don, advisor | |
| dc.contributor.author | Tavener, Simon, committee member | |
| dc.contributor.author | Breidt, Jay, committee member | |
| dc.contributor.author | Cooley, Dan, committee member | |
| dc.date.accessioned | 2019-06-14T17:06:49Z | |
| dc.date.available | 2019-06-14T17:06:49Z | |
| dc.date.issued | 2019 | |
| dc.description.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. | |
| dc.format.medium | born digital | |
| dc.format.medium | doctoral dissertations | |
| dc.identifier | Vollmer_colostate_0053A_15445.pdf | |
| dc.identifier.uri | https://hdl.handle.net/10217/195397 | |
| dc.language | English | |
| dc.language.iso | eng | |
| dc.publisher | Colorado State University. Libraries | |
| dc.relation.ispartof | 2000-2019 | |
| dc.rights | Copyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright. | |
| dc.subject | materials modeling | |
| dc.subject | multiscale | |
| dc.subject | stochastic processes | |
| dc.subject | multiphysics | |
| dc.subject | cellular automata | |
| dc.subject | probabilistic cellular automata | |
| dc.title | Statistical upscaling of stochastic forcing in multiscale, multiphysics modeling | |
| dc.type | Text | |
| dcterms.rights.dpla | This Item is protected by copyright and/or related rights (https://rightsstatements.org/vocab/InC/1.0/). You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s). | |
| thesis.degree.discipline | Statistics | |
| thesis.degree.grantor | Colorado State University | |
| thesis.degree.level | Doctoral | |
| thesis.degree.name | Doctor of Philosophy (Ph.D.) |
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