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Please use this identifier to cite or link to this item: http://hdl.handle.net/11375/12974
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dc.contributor.advisorProtas, Bartoszen_US
dc.contributor.authorNiakhai, Katsiarynaen_US
dc.date.accessioned2014-06-18T17:01:34Z-
dc.date.available2014-06-18T17:01:34Z-
dc.date.created2013-05-21en_US
dc.date.issued2013en_US
dc.identifier.otheropendissertations/7813en_US
dc.identifier.other8895en_US
dc.identifier.other4161049en_US
dc.identifier.urihttp://hdl.handle.net/11375/12974-
dc.description.abstract<p>This investigation is motivated by the problem of optimal design of cooling elements in modern battery systems. We consider a simple model of two-dimensional steady state heat conduction described by elliptic partial differential equations (PDEs) and involving a one dimensional cooling element represented by an open contour. The problem consists in finding an optimal shape of the cooling element which will ensure that the solution in a given region is close (in the least square sense) to some prescribed target distribution. We formulate this problem as PDE-constrained optimization and the locally optimal contour shapes are found using the conjugate gradient algorithm in which the Sobolev shape gradients are obtained using methods of the shape-differential calculus combined with adjoint analysis. The main novelty of this work is an accurate and efficient approach to the evaluation of the shape gradients based on a boundary integral formulation. A number of computational aspects of the proposed approach is discussed and optimization results obtained in several test problems are presented.</p>en_US
dc.subjectshape calculusen_US
dc.subjectoptimizationen_US
dc.subjectelliptic PDEsen_US
dc.subjectboundary integral equationsen_US
dc.subjectspectral methodsen_US
dc.subjectheat transferen_US
dc.subjectApplied Mathematicsen_US
dc.subjectApplied Mathematicsen_US
dc.titleSHAPE OPTIMIZATION OF ELLIPTIC PDE PROBLEMS ON COMPLEX DOMAINSen_US
dc.typethesisen_US
dc.contributor.departmentMathematics and Statisticsen_US
dc.description.degreeMaster of Science (MSc)en_US
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