Efficient coupling of micro/macroscale analyses with stochastic variations of constituent properties
<p>Full-domain multiscale analyses of unidirectional AS4/H3502 open-hole composite tensile specimens were performed to assess the effect of microscale progressive fiber failures in regions with large stress/strain gradients on macroscale composite strengths. The effect of model discretization...
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ndltd-MSSTATE-oai-library.msstate.edu-etd-03202014-1408062015-03-17T15:54:59Z Efficient coupling of micro/macroscale analyses with stochastic variations of constituent properties McWilliams, James Keith Aerospace Engineering <p>Full-domain multiscale analyses of unidirectional AS4/H3502 open-hole composite tensile specimens were performed to assess the effect of microscale progressive fiber failures in regions with large stress/strain gradients on macroscale composite strengths. The effect of model discretization at the microscale and macroscale on the calculated composite strengths and analysis times was investigated. Multiple sets of microscale analyses of repeating unit cells, each containing varying numbers of fibers with a distinct statistical distribution of fiber strengths and fiber volume fractions, were used to establish the microscale discretization for use in multiscale calculations. In order to improve computational times, multiscale analyses were performed over a reduced domain of the open-hole specimen. The calculated strengths obtained using reduced domain analyses were comparable to those for full-domain analyses, but at a fraction of the computational cost. Such reduced domain analyses likely are an integral part of efficient adaptive multiscale analyses of large all-composite air vehicles.</p> Thomas E. Lacy Samit Roy Ratan Jha MSSTATE 2014-04-28 text application/pdf http://sun.library.msstate.edu/ETD-db/theses/available/etd-03202014-140806/ http://sun.library.msstate.edu/ETD-db/theses/available/etd-03202014-140806/ en unrestricted I hereby certify that, if appropriate, I have obtained and attached hereto a written permission statement from the owner(s) of each third party copyrighted matter to be included in my thesis, Dissertation, or project report, allowing distribution as specified below. I certify that the version I submitted is the same as that approved by my advisory committee. I hereby grant to Mississippi State University Libraries or its agents the non-exclusive license to archive and make accessible, under the conditions specified below, my thesis, Dissertation, or project report in whole or in part in all forms of media, now or hereafter known. I retain all other ownership rights to the copyright of the thesis, Dissertation or project report. I also retain the right to use in future works (such as articles or books) all or part of this thesis, Dissertation, or project report. |
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Aerospace Engineering McWilliams, James Keith Efficient coupling of micro/macroscale analyses with stochastic variations of constituent properties |
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<p>Full-domain multiscale analyses of unidirectional AS4/H3502 open-hole composite tensile specimens were performed to assess the effect of microscale progressive fiber failures in regions with large stress/strain gradients on macroscale composite strengths. The effect of model discretization at the microscale and macroscale on the calculated composite strengths and analysis times was investigated. Multiple sets of microscale analyses of repeating unit cells, each containing varying numbers of fibers with a distinct statistical distribution of fiber strengths and fiber volume fractions, were used to establish the microscale discretization for use in multiscale calculations. In order to improve computational times, multiscale analyses were performed over a reduced domain of the open-hole specimen. The calculated strengths obtained using reduced domain analyses were comparable to those for full-domain analyses, but at a fraction of the computational cost. Such reduced domain analyses likely are an integral part of efficient adaptive multiscale analyses of large all-composite air vehicles.</p> |
author2 |
Thomas E. Lacy |
author_facet |
Thomas E. Lacy McWilliams, James Keith |
author |
McWilliams, James Keith |
author_sort |
McWilliams, James Keith |
title |
Efficient coupling of micro/macroscale analyses with stochastic variations of constituent properties |
title_short |
Efficient coupling of micro/macroscale analyses with stochastic variations of constituent properties |
title_full |
Efficient coupling of micro/macroscale analyses with stochastic variations of constituent properties |
title_fullStr |
Efficient coupling of micro/macroscale analyses with stochastic variations of constituent properties |
title_full_unstemmed |
Efficient coupling of micro/macroscale analyses with stochastic variations of constituent properties |
title_sort |
efficient coupling of micro/macroscale analyses with stochastic variations of constituent properties |
publisher |
MSSTATE |
publishDate |
2014 |
url |
http://sun.library.msstate.edu/ETD-db/theses/available/etd-03202014-140806/ |
work_keys_str_mv |
AT mcwilliamsjameskeith efficientcouplingofmicromacroscaleanalyseswithstochasticvariationsofconstituentproperties |
_version_ |
1716731864466587648 |