Collaborative optimization method of surrogate model for ship cabin structure based on sub-model decomposition
ObjectivesIn order to solve the difficulties of numerous design parameters and time-consuming computation of ship cabin structure optimization, a collaborative optimization method of surrogate model for cabin structure based on sub-model decomposition is proposed. MethodsA grillage was selected at a...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Editorial Office of Chinese Journal of Ship Research
2024-02-01
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| Series: | Zhongguo Jianchuan Yanjiu |
| Subjects: | |
| Online Access: | http://www.ship-research.com/en/article/doi/10.19693/j.issn.1673-3185.03237 |
| _version_ | 1797201194647552000 |
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| author | Junze WANG Pan ZHANG Jun LIU Yuansheng CHENG |
| author_facet | Junze WANG Pan ZHANG Jun LIU Yuansheng CHENG |
| author_sort | Junze WANG |
| collection | DOAJ |
| description | ObjectivesIn order to solve the difficulties of numerous design parameters and time-consuming computation of ship cabin structure optimization, a collaborative optimization method of surrogate model for cabin structure based on sub-model decomposition is proposed. MethodsA grillage was selected at a time, and the sub-model of grillage structure was established based on the finite element model of the current cabin scheme. The surrogate model was constructed for the grillage structure response and optimized based on the sub-model. After the optimization solution of the grillage was obtained, the cabin model was updated, and then the next grillage was optimized. This iteration stopped until one or more rounds of collaborative optimization including all grillages were completed. Finally, a small scale of adjustment of cabin structure size was conducted to obtain the final optimization solution. ResultsThe optimization result of a ship cabin structure shows that, compared with the cabin structure optimization method based on the dimensionality reduction surrogate model from the point of view of overall optimization, under the equivalent computational cost, the weight in the optimization result of the proposed method is further reduced by 2.86%, and the structural weight is reduced by 4.96% eventually. Conclusions The proposed method has better optimization result and better application value on the structure optimization problem of high-dimensional ship hull. |
| first_indexed | 2024-04-24T07:43:40Z |
| format | Article |
| id | doaj.art-8b36c82e12a54c9ca50327a5dd4b9843 |
| institution | Directory Open Access Journal |
| issn | 1673-3185 |
| language | English |
| last_indexed | 2024-04-24T07:43:40Z |
| publishDate | 2024-02-01 |
| publisher | Editorial Office of Chinese Journal of Ship Research |
| record_format | Article |
| series | Zhongguo Jianchuan Yanjiu |
| spelling | doaj.art-8b36c82e12a54c9ca50327a5dd4b98432024-04-19T05:29:51ZengEditorial Office of Chinese Journal of Ship ResearchZhongguo Jianchuan Yanjiu1673-31852024-02-011929810610.19693/j.issn.1673-3185.03237ZG3237Collaborative optimization method of surrogate model for ship cabin structure based on sub-model decompositionJunze WANG0Pan ZHANG1Jun LIU2Yuansheng CHENG3School of Naval Architecture and Ocean engineering, Huazhong University of Science and Technology, Wuhan 430074, ChinaSchool of Naval Architecture and Ocean engineering, Huazhong University of Science and Technology, Wuhan 430074, ChinaSchool of Naval Architecture and Ocean engineering, Huazhong University of Science and Technology, Wuhan 430074, ChinaSchool of Naval Architecture and Ocean engineering, Huazhong University of Science and Technology, Wuhan 430074, ChinaObjectivesIn order to solve the difficulties of numerous design parameters and time-consuming computation of ship cabin structure optimization, a collaborative optimization method of surrogate model for cabin structure based on sub-model decomposition is proposed. MethodsA grillage was selected at a time, and the sub-model of grillage structure was established based on the finite element model of the current cabin scheme. The surrogate model was constructed for the grillage structure response and optimized based on the sub-model. After the optimization solution of the grillage was obtained, the cabin model was updated, and then the next grillage was optimized. This iteration stopped until one or more rounds of collaborative optimization including all grillages were completed. Finally, a small scale of adjustment of cabin structure size was conducted to obtain the final optimization solution. ResultsThe optimization result of a ship cabin structure shows that, compared with the cabin structure optimization method based on the dimensionality reduction surrogate model from the point of view of overall optimization, under the equivalent computational cost, the weight in the optimization result of the proposed method is further reduced by 2.86%, and the structural weight is reduced by 4.96% eventually. Conclusions The proposed method has better optimization result and better application value on the structure optimization problem of high-dimensional ship hull.http://www.ship-research.com/en/article/doi/10.19693/j.issn.1673-3185.03237ship cabinstructural optimizationsub-modelsurrogate modelcollaborative optimization |
| spellingShingle | Junze WANG Pan ZHANG Jun LIU Yuansheng CHENG Collaborative optimization method of surrogate model for ship cabin structure based on sub-model decomposition Zhongguo Jianchuan Yanjiu ship cabin structural optimization sub-model surrogate model collaborative optimization |
| title | Collaborative optimization method of surrogate model for ship cabin structure based on sub-model decomposition |
| title_full | Collaborative optimization method of surrogate model for ship cabin structure based on sub-model decomposition |
| title_fullStr | Collaborative optimization method of surrogate model for ship cabin structure based on sub-model decomposition |
| title_full_unstemmed | Collaborative optimization method of surrogate model for ship cabin structure based on sub-model decomposition |
| title_short | Collaborative optimization method of surrogate model for ship cabin structure based on sub-model decomposition |
| title_sort | collaborative optimization method of surrogate model for ship cabin structure based on sub model decomposition |
| topic | ship cabin structural optimization sub-model surrogate model collaborative optimization |
| url | http://www.ship-research.com/en/article/doi/10.19693/j.issn.1673-3185.03237 |
| work_keys_str_mv | AT junzewang collaborativeoptimizationmethodofsurrogatemodelforshipcabinstructurebasedonsubmodeldecomposition AT panzhang collaborativeoptimizationmethodofsurrogatemodelforshipcabinstructurebasedonsubmodeldecomposition AT junliu collaborativeoptimizationmethodofsurrogatemodelforshipcabinstructurebasedonsubmodeldecomposition AT yuanshengcheng collaborativeoptimizationmethodofsurrogatemodelforshipcabinstructurebasedonsubmodeldecomposition |