dc.contributor.advisor | Romkes, Albert | |
dc.contributor.author | Carter, Jason Aaron | |
dc.date.accessioned | 2012-03-01T20:06:02Z | |
dc.date.available | 2012-03-01T20:06:02Z | |
dc.date.issued | 2011-12-31 | |
dc.date.submitted | 2011 | |
dc.identifier.other | http://dissertations.umi.com/ku:11842 | |
dc.identifier.uri | http://hdl.handle.net/1808/8776 | |
dc.description.abstract | This thesis presents the results of an investigation into the development of an estimator of modeling error in terms of local strain energy norms in multi-scale mod- eling of linear heterogeneous solids. Analysis of heterogeneous solids in engineering or computationally prohibitive problems presents challenges in that the media often possess a micro-structure too complex to numerically analyze for practical purposes. The macroscopic or 'global' behavior a of heterogeneous solid is often known to be predictable using an 'effective' or homogenized surrogate model that is computable. However, the ability to predict critical fine-scale features of the response is lost. Multi- scale modeling techniques have been introduced as a means of including fine-scale information in user specified regions of interest and the degree to which information is added is generally determined by a tolerance in terms of an error estimate. A means of assessing the error in modeling of heterogeneous solids is desired in order to determine validity of such surrogate models, both the homogenized and multi-scale models. Previous work in estimation of modeling error generally quantifies the error by using a residual-based methodology. This requires the solution of dual problems iv governing the quantity/feature of the model that is of interest to the analyst. The features of interest generally concern fine or micro-scale features of the response, since they play a crucial role in the initiation as well as the evolution of micro-scale failure mechanisms. Eventually, however they could lead to structural failure, i.e. on the macro-scale. This thesis adds to the modeling error estimation field by introducing an estimate of the modeling error in terms of a nonlinear quantity of interest, the local strain energy norm. The estimate is provided in terms of the integral of the error in the strain energy over a local domain of interest. Two estimates are explored, one being an equivalent quantifier of the local strain energy, and one a lower bound. Numerical verifications are provided, both including two-phase linearly elastic composites under loading. | |
dc.format.extent | 95 pages | |
dc.language.iso | en | |
dc.publisher | University of Kansas | |
dc.rights | This item is protected by copyright and unless otherwise specified the copyright of this thesis/dissertation is held by the author. | |
dc.subject | Mechanical engineering | |
dc.subject | Composites | |
dc.subject | Computational mechanics | |
dc.subject | Finite element analysis | |
dc.subject | Heterogeneous solids | |
dc.subject | Linear elasticity | |
dc.subject | Multi-scale modeling | |
dc.title | Estimation of Local Energy Norms of Modeling Error in Multi-Scale Modeling of Linearly Elastic Heterogeneous Solids | |
dc.type | Thesis | |
dc.contributor.cmtemember | Surana, Karan | |
dc.contributor.cmtemember | TenPas, Peter W. | |
dc.thesis.degreeDiscipline | Mechanical Engineering | |
dc.thesis.degreeLevel | M.S. | |
kusw.oastatus | na | |
kusw.oapolicy | This item does not meet KU Open Access policy criteria. | |
kusw.bibid | 7643359 | |
dc.rights.accessrights | openAccess | |