Efficient buckling constrained topology optimization using reduced order modeling
(2023) In Structural and Multidisciplinary Optimization 66(7).- Abstract
We present an efficient computational approach to continuum topology optimization with linearized buckling constraints, using Reduced Order Models (ROM). A reanalysis technique is employed to generate basis vectors that subsequently are used to significantly reduce the size of the generalized eigenvalue problems. We demonstrate the efficacy of this approach by optimizing for stiffness with buckling constraints and show results for several test cases. Based on our findings, we conclude that the ROM can potentially save significant computational effort without compromising the quality of the results.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/d8a5c99c-702d-4395-865f-6f2f97493961
- author
- Dahlberg, Vilmer LU ; Dalklint, Anna LU ; Spicer, Matthew ; Amir, Oded and Wallin, Mathias LU
- organization
- publishing date
- 2023
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Combined approximations, Linearized buckling analysis, Reanalysis, Reduced order modeling, Topology optimization
- in
- Structural and Multidisciplinary Optimization
- volume
- 66
- issue
- 7
- article number
- 161
- publisher
- Springer
- external identifiers
-
- scopus:85163763688
- ISSN
- 1615-147X
- DOI
- 10.1007/s00158-023-03616-7
- language
- English
- LU publication?
- yes
- id
- d8a5c99c-702d-4395-865f-6f2f97493961
- date added to LUP
- 2023-09-15 09:41:34
- date last changed
- 2023-10-12 09:31:18
@article{d8a5c99c-702d-4395-865f-6f2f97493961, abstract = {{<p>We present an efficient computational approach to continuum topology optimization with linearized buckling constraints, using Reduced Order Models (ROM). A reanalysis technique is employed to generate basis vectors that subsequently are used to significantly reduce the size of the generalized eigenvalue problems. We demonstrate the efficacy of this approach by optimizing for stiffness with buckling constraints and show results for several test cases. Based on our findings, we conclude that the ROM can potentially save significant computational effort without compromising the quality of the results.</p>}}, author = {{Dahlberg, Vilmer and Dalklint, Anna and Spicer, Matthew and Amir, Oded and Wallin, Mathias}}, issn = {{1615-147X}}, keywords = {{Combined approximations; Linearized buckling analysis; Reanalysis; Reduced order modeling; Topology optimization}}, language = {{eng}}, number = {{7}}, publisher = {{Springer}}, series = {{Structural and Multidisciplinary Optimization}}, title = {{Efficient buckling constrained topology optimization using reduced order modeling}}, url = {{http://dx.doi.org/10.1007/s00158-023-03616-7}}, doi = {{10.1007/s00158-023-03616-7}}, volume = {{66}}, year = {{2023}}, }