Topology Optimization Methods for 3D Structural Problems: A Comparative Study
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Abstract (arXiv)
The work provides an exhaustive comparison of some representative families of topology optimization methods for 3D structural optimization, such as the Solid Isotropic Material with Penalization (SIMP), the Level-set, the Bidirectional Evolutionary Structural Optimization (BESO), and the Variational Topology Optimization (VARTOP) methods. The main differences and similarities of these approaches are then highlighted from an algorithmic standpoint. The comparison is carried out via the study of a set of numerical benchmark cases using industrial-like fine-discretization meshes (around 1 million finite elements), and Matlab as the common computational platform, to ensure fair comparisons. Then, the results obtained for every benchmark case with the different methods are compared in terms of computational cost, topology quality, achieved minimum value of the objective function, and robustness of the computations (convergence in objective function and topology). Finally, some quantitative and qualitative results are presented, from which, an attempt of qualification of the methods, in terms of their relative performance, is done.
Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). First posted on arXiv 6 Aug 2021.
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Citing papers per year: 2022: 1; 2023: 0; 2024: 1; 2025: 1; 2026: 2.
5 papers.
- 2022Topology Optimization via Machine Learning and Deep Learning: A Reviewcited by 23
- 2024Large Language Model Agent as a Mechanical Designercited by 21
- 2025Diverse Topology Optimization using Modulated Neural Fieldscited by 1
- 2026KATOsuper: Surrogate-accelerated neural topology optimization with sensitivity-consistent Fourier neural operatorscited by 1
- 2026Neural topology optimization of ship structures under propulsion machinery vibrationscited by 0
- 2026Neural topology optimization of ship structures under propulsion machinery vibrations29 Sep 2026
- 2026KATOsuper: Surrogate-accelerated neural topology optimization with sensitivity-consistent Fourier neural operators23 Sep 2026
- 2025Diverse Topology Optimization using Modulated Neural Fields17 Feb 2025
- 2024Large Language Model Agent as a Mechanical Designer26 Apr 2024
- 2022Topology Optimization via Machine Learning and Deep Learning: A Review19 Oct 2022