A parallel parameterized level set method for large-scale structural topology optimization under design-dependent load
This paper proposes a topology optimization framework for three-dimensional continuum structures subjected to design-dependent loads, including gravity, centrifugal, and hydrostatic pressure loads. First, this study utilizes the parameterized level set method (PLSM) with unstructured meshes to effec...
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| Vydáno v: | Computer methods in applied mechanics and engineering Ročník 443; s. 118032 |
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| Hlavní autoři: | , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
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Elsevier B.V
01.08.2025
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| ISSN: | 0045-7825 |
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| Abstract | This paper proposes a topology optimization framework for three-dimensional continuum structures subjected to design-dependent loads, including gravity, centrifugal, and hydrostatic pressure loads. First, this study utilizes the parameterized level set method (PLSM) with unstructured meshes to effectively handle complex structural shapes and boundary conditions. Second, this work employs parallel computing techniques and uses the shape function as the basis function in PLSM to significantly enhance computational efficiency. Additionally, this study comprehensively analyzes design-dependent loads and addresses topology optimization of large-scale structures under complex load conditions. This study overcomes the lack of research on complicated 3D design-dependent load problems. It aims to broaden the application of topology optimization techniques, making them more applicable to engineering practices, such as large-scale underwater structures. Finally, several 3D examples demonstrate the proposed framework’s efficiency, stability, and ability to generate innovative structural designs.
•A parameterized level set method based on shape functions and unstructured meshes.•Distributed-memory parallel computing is used on large-scale topology optimization.•Study analyzes design-dependent loads: gravity, centrifugal, and hydrostatic loads.•The algorithm has good stability, efficiency, and scalability. |
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| AbstractList | This paper proposes a topology optimization framework for three-dimensional continuum structures subjected to design-dependent loads, including gravity, centrifugal, and hydrostatic pressure loads. First, this study utilizes the parameterized level set method (PLSM) with unstructured meshes to effectively handle complex structural shapes and boundary conditions. Second, this work employs parallel computing techniques and uses the shape function as the basis function in PLSM to significantly enhance computational efficiency. Additionally, this study comprehensively analyzes design-dependent loads and addresses topology optimization of large-scale structures under complex load conditions. This study overcomes the lack of research on complicated 3D design-dependent load problems. It aims to broaden the application of topology optimization techniques, making them more applicable to engineering practices, such as large-scale underwater structures. Finally, several 3D examples demonstrate the proposed framework’s efficiency, stability, and ability to generate innovative structural designs.
•A parameterized level set method based on shape functions and unstructured meshes.•Distributed-memory parallel computing is used on large-scale topology optimization.•Study analyzes design-dependent loads: gravity, centrifugal, and hydrostatic loads.•The algorithm has good stability, efficiency, and scalability. |
| ArticleNumber | 118032 |
| Author | Wei, Peng Liu, Hui Cheng, Ben Lin, Haoju |
| Author_xml | – sequence: 1 givenname: Peng orcidid: 0000-0001-5826-1527 surname: Wei fullname: Wei, Peng organization: State Key Laboratory of Subtropical Building Science, School of Civil Engineering and Transportation, South China University of Technology, Guangzhou 510641, China – sequence: 2 givenname: Ben orcidid: 0009-0006-5661-9795 surname: Cheng fullname: Cheng, Ben organization: State Key Laboratory of Subtropical Building Science, School of Civil Engineering and Transportation, South China University of Technology, Guangzhou 510641, China – sequence: 3 givenname: Haoju orcidid: 0009-0005-4151-8863 surname: Lin fullname: Lin, Haoju organization: State Key Laboratory of Subtropical Building Science, School of Civil Engineering and Transportation, South China University of Technology, Guangzhou 510641, China – sequence: 4 givenname: Hui orcidid: 0000-0002-8051-2932 surname: Liu fullname: Liu, Hui email: h.liu@whu.edu.cn organization: Department of Engineering Mechanics, School of Civil Engineering, Wuhan University, Wuhan 430072, China |
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| Keywords | Topology optimization Design-dependent load Parallel computing Parameterized level set method |
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| SubjectTerms | Design-dependent load Parallel computing Parameterized level set method Topology optimization |
| Title | A parallel parameterized level set method for large-scale structural topology optimization under design-dependent load |
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