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Massachusetts Institute of Technology

Accelerating topology optimization codes using mesh refinement continuation

Abstract

dc:description.abstract

A 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

Degree

thesis:*
Name thesis:degree_name
Master
Department dc:contributor.department
Massachusetts Institute of Technology. Department of Civil and Environmental Engineering
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2023

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Chen, Austin
Advisor dc:contributor.advisor
  • Carstensen, Josephine V.

Rights

dc:rights
Statement dc:rights
  • In Copyright - Educational Use Permitted
  • Copyright retained by author(s)

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/1721.1/151810
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/151810

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
related terms
citation

Chen, Austin. Accelerating topology optimization codes using mesh refinement continuation. Massachusetts Institute of Technology, 2023. https://hdl.handle.net/1721.1/151810