Multi-step Optimization Method of the Thick Composite LaminateStructures Considering Inter-laminar Stresses
To give full play to the coefficient of utilization of composite materials and reduce the structure weight, it is very important to optimize the design of thick composite structure. However, the complex design space, the inter-laminar stresses problem, and the discrete design variables make the opti...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | zho |
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Editorial Department of Advances in Aeronautical Science and Engineering
2018-05-01
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| Series: | Hangkong gongcheng jinzhan |
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| Online Access: | http://hkgcjz.cnjournals.com/hkgcjz/article/abstract/2017085?st=article_issue |
| _version_ | 1797989676267601920 |
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| author | Cao Hua Wang Zhijin Yuan Xiao HanYu Hou Tianjiao |
| author_facet | Cao Hua Wang Zhijin Yuan Xiao HanYu Hou Tianjiao |
| author_sort | Cao Hua |
| collection | DOAJ |
| description | To give full play to the coefficient of utilization of composite materials and reduce the structure weight, it is very important to optimize the design of thick composite structure. However, the complex design space, the inter-laminar stresses problem, and the discrete design variables make the optimization of thick composite structures very difficult. Aiming at the optimum design of thick composite structure which is formed by repeating sub-laminates, a multi-step optimization method is proposed in this paper. This method is composed of two steps. The first-step optimization design is conducted using the approximate model which is based on radial basis function neural network. The design variables include the number of plies in the sub-laminate and ply volume proportion. The second-step optimization is divided into two levels. The design variables of the system level are the number of sub-laminates, and the objective is to minimize the structural mass. The sub-system level is the optimization of laminate stacking sequence using genetic algorithm, and the objective is to minimize the inter-laminar stress factor. Matlab is adopted to program the genetic algorithm, and then integrated with Isight to carry out the whole optimization process. The case study shows that the multi-step optimization design method proposed in this paper is effective, and can achieve the optimization of thick composite laminate structure consisting of a repeating sub-laminate. |
| first_indexed | 2024-04-11T08:23:08Z |
| format | Article |
| id | doaj.art-1387c2f24304427abe2e806013933560 |
| institution | Directory Open Access Journal |
| issn | 1674-8190 |
| language | zho |
| last_indexed | 2024-04-11T08:23:08Z |
| publishDate | 2018-05-01 |
| publisher | Editorial Department of Advances in Aeronautical Science and Engineering |
| record_format | Article |
| series | Hangkong gongcheng jinzhan |
| spelling | doaj.art-1387c2f24304427abe2e8060139335602022-12-22T04:34:50ZzhoEditorial Department of Advances in Aeronautical Science and EngineeringHangkong gongcheng jinzhan1674-81902018-05-019219920810.16615/j.cnki.1674-8190.2018.02.00820180208Multi-step Optimization Method of the Thick Composite LaminateStructures Considering Inter-laminar StressesCao Hua0Wang Zhijin1Yuan Xiao2HanYu3Hou Tianjiao4Key Laboratory of Fundamental Science for National Defense-advanced Design Technology of Flight Vehicle, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, ChinaKey Laboratory of Fundamental Science for National Defense-advanced Design Technology of Flight Vehicle, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, ChinaKey Laboratory of Fundamental Science for National Defense-advanced Design Technology of Flight Vehicle, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, ChinaKey Laboratory of Fundamental Science for National Defense-advanced Design Technology of Flight Vehicle, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, ChinaKey Laboratory of Fundamental Science for National Defense-advanced Design Technology of Flight Vehicle, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, ChinaTo give full play to the coefficient of utilization of composite materials and reduce the structure weight, it is very important to optimize the design of thick composite structure. However, the complex design space, the inter-laminar stresses problem, and the discrete design variables make the optimization of thick composite structures very difficult. Aiming at the optimum design of thick composite structure which is formed by repeating sub-laminates, a multi-step optimization method is proposed in this paper. This method is composed of two steps. The first-step optimization design is conducted using the approximate model which is based on radial basis function neural network. The design variables include the number of plies in the sub-laminate and ply volume proportion. The second-step optimization is divided into two levels. The design variables of the system level are the number of sub-laminates, and the objective is to minimize the structural mass. The sub-system level is the optimization of laminate stacking sequence using genetic algorithm, and the objective is to minimize the inter-laminar stress factor. Matlab is adopted to program the genetic algorithm, and then integrated with Isight to carry out the whole optimization process. The case study shows that the multi-step optimization design method proposed in this paper is effective, and can achieve the optimization of thick composite laminate structure consisting of a repeating sub-laminate.http://hkgcjz.cnjournals.com/hkgcjz/article/abstract/2017085?st=article_issuemulti-step optimization designthick composite laminate structureinter-laminar stressesstacking sequencegenetic algorithmneural networks |
| spellingShingle | Cao Hua Wang Zhijin Yuan Xiao HanYu Hou Tianjiao Multi-step Optimization Method of the Thick Composite LaminateStructures Considering Inter-laminar Stresses Hangkong gongcheng jinzhan multi-step optimization design thick composite laminate structure inter-laminar stresses stacking sequence genetic algorithm neural networks |
| title | Multi-step Optimization Method of the Thick Composite LaminateStructures Considering Inter-laminar Stresses |
| title_full | Multi-step Optimization Method of the Thick Composite LaminateStructures Considering Inter-laminar Stresses |
| title_fullStr | Multi-step Optimization Method of the Thick Composite LaminateStructures Considering Inter-laminar Stresses |
| title_full_unstemmed | Multi-step Optimization Method of the Thick Composite LaminateStructures Considering Inter-laminar Stresses |
| title_short | Multi-step Optimization Method of the Thick Composite LaminateStructures Considering Inter-laminar Stresses |
| title_sort | multi step optimization method of the thick composite laminatestructures considering inter laminar stresses |
| topic | multi-step optimization design thick composite laminate structure inter-laminar stresses stacking sequence genetic algorithm neural networks |
| url | http://hkgcjz.cnjournals.com/hkgcjz/article/abstract/2017085?st=article_issue |
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