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Abstract
Compact and efficient Matlab implementations of compliance topology optimization (TO) for 2D and 3D continua are given, consisting of 99 and 125 lines respectively. On discretizations ranging from 3 ⋅ 104 to 4.8 ⋅ 105 elements, the 2D version, named top99neo, shows speedups from 2.55 to 5.5 times compared to the well-known top88 code of Andreassen et al. (Struct Multidiscip Optim 43(1):1–16, 2011). The 3D version, named top3D125, is the most compact and efficient Matlab implementation for 3D TO to date, showing a speedup of 1.9 times compared to the code of Amir et al. (Struct Multidiscip Optim 49(5):815–829, 2014), on a discretization with 2.2 ⋅ 105 elements. For both codes, improvements are due to much more efficient procedures for the assembly and implementation of filters and shortcuts in the design update step. The use of an acceleration strategy, yielding major cuts in the overall computational time, is also discussed, stressing its easy integration within the basic codes.
Original language | English |
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Journal | Structural and Multidisciplinary Optimization |
Volume | 62 |
Pages (from-to) | 2211-2228 |
ISSN | 1615-147X |
DOIs | |
Publication status | Published - 2020 |
Keywords
- Topology optimization
- Matlab
- Computational efficiency
- Acceleration methods
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Dive into the research topics of 'A new generation 99 line Matlab code for compliance topology optimization and its extension to 3D'. Together they form a unique fingerprint.Projects
- 1 Finished
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InnoTop: InnoTop, Interactive, Non-Linear, High-Resolution Topology Optimization
Sigmund, O. (Project Coordinator), Petersen, M. L. (Project Manager), Carlberg, L. K. (Project Manager), Aage, N. (Project Participant), Andreasen, C. S. (Project Participant), Wang, F. (Project Participant), Bærentzen, J. A. (Project Participant) & Assentoft, D. (Project Manager)
01/09/2017 → 31/08/2024
Project: Research