Abstract
This paper presents a triple acceleration method (TAM) for the topology optimization (TO), which consists of three parts: multilevel mesh, initial-value-based preconditioned conjugate-gradient (PCG) method, and local-update strategy. The TAM accelerates TO in three aspects including reducing mesh scale, accelerating solving equations, and decreasing the number of updated elements. Three benchmark examples are presented to evaluate proposed method, and the result shows that the proposed TAM successfully reduces 35–80% computational time with faster convergence compared to the conventional TO while the consistent optimization results are obtained. Furthermore, the TAM is able to achieve a higher speedup for large-scale problems, especially for the 3D TOs, which demonstrates that the TAM is an effective method for accelerating large-scale TO problems.
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Replication of results
The proposed method is based on classical TO method SIMP, the implementation of which has been introduced detailly in this paper, making it easy to reproduce results. Besides, the proposed method is a part of a new project that forbids opening the source code.
Funding
This work has been supported by National Natural Science Foundation of China (51705158), the Fundamental Research Funds for the Central Universities (2018MS45), and Open Funds of National Engineering Research Center of Near-Net-Shape Forming for Metallic Materials (2018005).
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Responsible Editor: Emilio Carlos Nelli Silva
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Liao, Z., Zhang, Y., Wang, Y. et al. A triple acceleration method for topology optimization. Struct Multidisc Optim 60, 727–744 (2019). https://doi.org/10.1007/s00158-019-02234-6
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DOI: https://doi.org/10.1007/s00158-019-02234-6