Novel methodology of fail-safe reliability-based topology optimization for large-scale marine structures

In this paper, a novel reliability-based topology optimization (RBTO) framework integrating fail-safe is first presented to boost reliability levels and load path redundancy for complex marine structures. The sequential optimization and reliability assessment (SORA) approach using the conjugate grad...

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Veröffentlicht in:	Structural and multidisciplinary optimization Jg. 66; H. 7; S. 168
Hauptverfasser:	Cui, Yupeng, Yu, Yang, Huang, Shanlin, Cheng, Siyuan, Wei, Mingxiu, Li, Zhenmian, Yu, Jianxing
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer Berlin Heidelberg 01.07.2023 Springer Nature B.V
Schlagworte:	Algorithms Cantilever beams Cargo ships Computational Mathematics and Numerical Analysis Decoupling Engineering Engineering Design Fail safe structures Iterative methods Materials failure Optimization Redundancy Reliability analysis Research Paper Ship decks Theoretical and Applied Mechanics Topology optimization Three-stage continuation technique Sequential optimization and reliability assessment using the conjugate gradient algorithm Multi-model optimization method Fail-safe reliability-based topology optimization Large-scale marine structures
ISSN:	1615-147X, 1615-1488
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Abstract	In this paper, a novel reliability-based topology optimization (RBTO) framework integrating fail-safe is first presented to boost reliability levels and load path redundancy for complex marine structures. The sequential optimization and reliability assessment (SORA) approach using the conjugate gradient (CG) algorithm (SORACG) is proposed to decouple the RBTO procedure into sequential deterministic topology optimization (DTO) loops and reliability assessment (RA) loops. The computational efficiency and solution accuracy are enhanced benefiting from the decoupling feature of SORA. A popular fail-safe model simulating the local material failure using damaged zones with prescribed shape and size is introduced into DTO. Non-differentiable fail-safe worst-case problem is transformed into an equivalent bound formulation via the β -method. Combing the three-stage continuation technique (3SCT) which considers both iterative efficiency and global optimality, a multi-model optimization strategy is suggested to address the fail-safe model. In RA, the CG algorithm is developed to derive the most probable point (MPP) for the optimal fail-safe DTO design. Numerical cases concerning a cantilever beam and engineering applications for a long-span open deck and 10,000-ton container ship demonstrate the effectiveness of the framework.
AbstractList	In this paper, a novel reliability-based topology optimization (RBTO) framework integrating fail-safe is first presented to boost reliability levels and load path redundancy for complex marine structures. The sequential optimization and reliability assessment (SORA) approach using the conjugate gradient (CG) algorithm (SORACG) is proposed to decouple the RBTO procedure into sequential deterministic topology optimization (DTO) loops and reliability assessment (RA) loops. The computational efficiency and solution accuracy are enhanced benefiting from the decoupling feature of SORA. A popular fail-safe model simulating the local material failure using damaged zones with prescribed shape and size is introduced into DTO. Non-differentiable fail-safe worst-case problem is transformed into an equivalent bound formulation via the β -method. Combing the three-stage continuation technique (3SCT) which considers both iterative efficiency and global optimality, a multi-model optimization strategy is suggested to address the fail-safe model. In RA, the CG algorithm is developed to derive the most probable point (MPP) for the optimal fail-safe DTO design. Numerical cases concerning a cantilever beam and engineering applications for a long-span open deck and 10,000-ton container ship demonstrate the effectiveness of the framework. In this paper, a novel reliability-based topology optimization (RBTO) framework integrating fail-safe is first presented to boost reliability levels and load path redundancy for complex marine structures. The sequential optimization and reliability assessment (SORA) approach using the conjugate gradient (CG) algorithm (SORACG) is proposed to decouple the RBTO procedure into sequential deterministic topology optimization (DTO) loops and reliability assessment (RA) loops. The computational efficiency and solution accuracy are enhanced benefiting from the decoupling feature of SORA. A popular fail-safe model simulating the local material failure using damaged zones with prescribed shape and size is introduced into DTO. Non-differentiable fail-safe worst-case problem is transformed into an equivalent bound formulation via the β-method. Combing the three-stage continuation technique (3SCT) which considers both iterative efficiency and global optimality, a multi-model optimization strategy is suggested to address the fail-safe model. In RA, the CG algorithm is developed to derive the most probable point (MPP) for the optimal fail-safe DTO design. Numerical cases concerning a cantilever beam and engineering applications for a long-span open deck and 10,000-ton container ship demonstrate the effectiveness of the framework.
ArticleNumber	168
Author	Yu, Jianxing Yu, Yang Li, Zhenmian Cui, Yupeng Cheng, Siyuan Huang, Shanlin Wei, Mingxiu
Author_xml	– sequence: 1 givenname: Yupeng surname: Cui fullname: Cui, Yupeng organization: State Key Laboratory of Hydraulic Engineering Simulation and Safety, Tianjin University, Tianjin Key Laboratory of Port and Ocean Engineering, Tianjin University – sequence: 2 givenname: Yang orcidid: 0000-0002-6708-9885 surname: Yu fullname: Yu, Yang email: yang.yu@tju.edu.cn organization: State Key Laboratory of Hydraulic Engineering Simulation and Safety, Tianjin University, Tianjin Key Laboratory of Port and Ocean Engineering, Tianjin University – sequence: 3 givenname: Shanlin surname: Huang fullname: Huang, Shanlin organization: China State Shipbuilding Corporation Limited Project Management Center – sequence: 4 givenname: Siyuan surname: Cheng fullname: Cheng, Siyuan organization: State Key Laboratory of Hydraulic Engineering Simulation and Safety, Tianjin University, Tianjin Key Laboratory of Port and Ocean Engineering, Tianjin University – sequence: 5 givenname: Mingxiu surname: Wei fullname: Wei, Mingxiu organization: State Key Laboratory of Hydraulic Engineering Simulation and Safety, Tianjin University, Tianjin Key Laboratory of Port and Ocean Engineering, Tianjin University – sequence: 6 givenname: Zhenmian surname: Li fullname: Li, Zhenmian organization: State Key Laboratory of Hydraulic Engineering Simulation and Safety, Tianjin University, Tianjin Key Laboratory of Port and Ocean Engineering, Tianjin University – sequence: 7 givenname: Jianxing surname: Yu fullname: Yu, Jianxing organization: State Key Laboratory of Hydraulic Engineering Simulation and Safety, Tianjin University, Tianjin Key Laboratory of Port and Ocean Engineering, Tianjin University
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Keywords	Three-stage continuation technique Sequential optimization and reliability assessment using the conjugate gradient algorithm Multi-model optimization method Fail-safe reliability-based topology optimization Large-scale marine structures
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Snippet	In this paper, a novel reliability-based topology optimization (RBTO) framework integrating fail-safe is first presented to boost reliability levels and load...
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SubjectTerms	Algorithms Cantilever beams Cargo ships Computational Mathematics and Numerical Analysis Decoupling Engineering Engineering Design Fail safe structures Iterative methods Materials failure Optimization Redundancy Reliability analysis Research Paper Ship decks Theoretical and Applied Mechanics Topology optimization
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Title	Novel methodology of fail-safe reliability-based topology optimization for large-scale marine structures
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