Structural design optimization of underwater vehicle via Gradient-enhanced Kriging
ObjectivesThe structural optimization of ships usually involves the use of high-fidelity numerical simulations which are time-consuming and thus difficult to evaluated frequently, and this intrinsic property hinders the optimization process. To promote efficient design optimization, this paper explo...
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Editorial Office of Chinese Journal of Ship Research
2021-08-01
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Online Access: | http://www.ship-research.com/cn/article/doi/10.19693/j.issn.1673-3185.02066 |
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doaj-36613859c55949e39790e4552109c53f2021-08-20T09:43:12ZengEditorial Office of Chinese Journal of Ship ResearchZhongguo Jianchuan Yanjiu1673-31851673-31852021-08-01164798510.19693/j.issn.1673-3185.02066ZG2066Structural design optimization of underwater vehicle via Gradient-enhanced KrigingLiming CHEN0Haobo QIU1Liang GAO2School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, ChinaSchool of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, ChinaSchool of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, ChinaObjectivesThe structural optimization of ships usually involves the use of high-fidelity numerical simulations which are time-consuming and thus difficult to evaluated frequently, and this intrinsic property hinders the optimization process. To promote efficient design optimization, this paper explores the use of Gradient-enhanced Kriging (GEK) surrogate mode in order to shorten the design loop and save design cost. A reduced GEK-based infill criterion is proposed to decrease the number of simulations by calculating the gradients only for sample locations where improvement occurs.MethodsA multi-start local optimization algorithm is employed to search the local optima of the "expected improvement" function and locate candidate infill points. The associated "approximate probability of stationary point (APSP)" values are also evaluated, and infill decisions are made according to the extent of consistency between these two quantities, thereby improving optimization efficiency. The proposed method is then applied to the structural optimization of an underwater vehicle to increase the seventh-order natural frequency under unconstrained free vibration in an underwater environment, and the validity is verifed.ResultsThe result shows that,compared with the baseline,the optimized design achieves a 14.6% improvement.ConclusionsThe proposed GEK-based optimization method can be generalized to cases when gradients can only be evaluated by finite difference.http://www.ship-research.com/cn/article/doi/10.19693/j.issn.1673-3185.02066ship structural optimizationsurrogate-based optimizationgradient-enhanced kriging |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Liming CHEN Haobo QIU Liang GAO |
spellingShingle |
Liming CHEN Haobo QIU Liang GAO Structural design optimization of underwater vehicle via Gradient-enhanced Kriging Zhongguo Jianchuan Yanjiu ship structural optimization surrogate-based optimization gradient-enhanced kriging |
author_facet |
Liming CHEN Haobo QIU Liang GAO |
author_sort |
Liming CHEN |
title |
Structural design optimization of underwater vehicle via Gradient-enhanced Kriging |
title_short |
Structural design optimization of underwater vehicle via Gradient-enhanced Kriging |
title_full |
Structural design optimization of underwater vehicle via Gradient-enhanced Kriging |
title_fullStr |
Structural design optimization of underwater vehicle via Gradient-enhanced Kriging |
title_full_unstemmed |
Structural design optimization of underwater vehicle via Gradient-enhanced Kriging |
title_sort |
structural design optimization of underwater vehicle via gradient-enhanced kriging |
publisher |
Editorial Office of Chinese Journal of Ship Research |
series |
Zhongguo Jianchuan Yanjiu |
issn |
1673-3185 1673-3185 |
publishDate |
2021-08-01 |
description |
ObjectivesThe structural optimization of ships usually involves the use of high-fidelity numerical simulations which are time-consuming and thus difficult to evaluated frequently, and this intrinsic property hinders the optimization process. To promote efficient design optimization, this paper explores the use of Gradient-enhanced Kriging (GEK) surrogate mode in order to shorten the design loop and save design cost. A reduced GEK-based infill criterion is proposed to decrease the number of simulations by calculating the gradients only for sample locations where improvement occurs.MethodsA multi-start local optimization algorithm is employed to search the local optima of the "expected improvement" function and locate candidate infill points. The associated "approximate probability of stationary point (APSP)" values are also evaluated, and infill decisions are made according to the extent of consistency between these two quantities, thereby improving optimization efficiency. The proposed method is then applied to the structural optimization of an underwater vehicle to increase the seventh-order natural frequency under unconstrained free vibration in an underwater environment, and the validity is verifed.ResultsThe result shows that,compared with the baseline,the optimized design achieves a 14.6% improvement.ConclusionsThe proposed GEK-based optimization method can be generalized to cases when gradients can only be evaluated by finite difference. |
topic |
ship structural optimization surrogate-based optimization gradient-enhanced kriging |
url |
http://www.ship-research.com/cn/article/doi/10.19693/j.issn.1673-3185.02066 |
work_keys_str_mv |
AT limingchen structuraldesignoptimizationofunderwatervehicleviagradientenhancedkriging AT haoboqiu structuraldesignoptimizationofunderwatervehicleviagradientenhancedkriging AT lianggao structuraldesignoptimizationofunderwatervehicleviagradientenhancedkriging |
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1721201272148721664 |