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dc.contributor.advisorCarstensen, Josephine V.
dc.contributor.authorChen, Austin
dc.date.accessioned2023-08-23T16:10:29Z
dc.date.available2023-08-23T16:10:29Z
dc.date.issued2023-06
dc.date.submitted2023-06-22T14:48:52.667Z
dc.identifier.urihttps://hdl.handle.net/1721.1/151810
dc.description.abstractA new concept for an algorithm accelerating topology optimization programs is introduced and explained in detail, which involves a continuation of increasing mesh resolutions to achieve low-compliance solutions with largely reduced computation times. Comparisons with examples from relevant literature show speedups of up to approximately 60% on discretizations up to the order of 106 elements for common benchmark problems. Improvements in speed can be attributed to taking advantage of running code on coarse meshes as a faster way to generate smart initial guesses to be reused as inputs for subsequent runs on finer meshes. A MATLAB script for the new algorithm and associated modifications to existing topology optimization code is included. Keywords: Topology Optimization, Mesh Refinement, Computational Efficiency, MATLAB
dc.publisherMassachusetts Institute of Technology
dc.rightsIn Copyright - Educational Use Permitted
dc.rightsCopyright retained by author(s)
dc.rights.urihttps://rightsstatements.org/page/InC-EDU/1.0/
dc.titleAccelerating topology optimization codes using mesh refinement continuation
dc.typeThesis
dc.description.degreeM.Eng.
dc.contributor.departmentMassachusetts Institute of Technology. Department of Civil and Environmental Engineering
mit.thesis.degreeMaster
thesis.degree.nameMaster of Engineering in Civil and Environmental Engineering


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