TY - GEN
T1 - Constrained Multi-objective Large Deformation Shape Optimization of Blended-Wing-Body Underwater Glider
AU - Long, Wenyi
AU - Wang, Peng
AU - Dong, Huachao
AU - Chen, Weixi
AU - Yang, Xubo
N1 - Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
PY - 2022
Y1 - 2022
N2 - There is a strong relationship of mutual influence between different performance indexes of Blended-Wing-Body Underwater Gliders (BWBUGs). For example, the shape with better hydrodynamic efficiency often limits the allowable internal volume, and further affects energy carrying capacity of BWBUGs. In this paper, two design objectives for BWBUGs are considered: lift-to-drag ratio (LDR) and internal volume, and the size and position of internal equipment are changeable. Due to the variable layout size and position, the interference between shape and internal layout is more likely to occur, which is a complex and harsh constraint. To solve this constrained multi-objective engineering problem, the surrogate-based TCOR-NSGA-II method is presented, where a new constraint-handling method (TCOR) is proposed to handle constraints more effectively. This novel constraint-handling technique combines with Non-dominated Sorting Genetic Algorithm (TCOR-NSGA-II) to tackle constrained multi-objective optimization problems. TCOR-NSGA-II has been tested on the MW test suites, and the experimental results show high effectiveness and strong robustness compared with several existing algorithms. Finally, the surrogate-based TCOR-NSGA-II is used for the shape optimization of BWBUG, and a set of non-dominant solutions are attained, which can provide a variety of glider shapes, including large LDR, large internal volume and trade-off individuals between the two indexes.
AB - There is a strong relationship of mutual influence between different performance indexes of Blended-Wing-Body Underwater Gliders (BWBUGs). For example, the shape with better hydrodynamic efficiency often limits the allowable internal volume, and further affects energy carrying capacity of BWBUGs. In this paper, two design objectives for BWBUGs are considered: lift-to-drag ratio (LDR) and internal volume, and the size and position of internal equipment are changeable. Due to the variable layout size and position, the interference between shape and internal layout is more likely to occur, which is a complex and harsh constraint. To solve this constrained multi-objective engineering problem, the surrogate-based TCOR-NSGA-II method is presented, where a new constraint-handling method (TCOR) is proposed to handle constraints more effectively. This novel constraint-handling technique combines with Non-dominated Sorting Genetic Algorithm (TCOR-NSGA-II) to tackle constrained multi-objective optimization problems. TCOR-NSGA-II has been tested on the MW test suites, and the experimental results show high effectiveness and strong robustness compared with several existing algorithms. Finally, the surrogate-based TCOR-NSGA-II is used for the shape optimization of BWBUG, and a set of non-dominant solutions are attained, which can provide a variety of glider shapes, including large LDR, large internal volume and trade-off individuals between the two indexes.
KW - Blended-wing-body underwater glider
KW - Constrained multi-objective optimization
KW - Constraint-handling technique
KW - Surrogate-based optimization
UR - http://www.scopus.com/inward/record.url?scp=85127863902&partnerID=8YFLogxK
U2 - 10.1007/978-981-16-7381-8_125
DO - 10.1007/978-981-16-7381-8_125
M3 - 会议稿件
AN - SCOPUS:85127863902
SN - 9789811673801
T3 - Mechanisms and Machine Science
SP - 1991
EP - 2010
BT - Advances in Mechanical Design - Proceedings of the 2021 International Conference on Mechanical Design, ICMD 2021
A2 - Tan, Jianrong
PB - Springer Science and Business Media B.V.
T2 - International Conference on Mechanical Design, ICMD 2021
Y2 - 11 August 2021 through 13 August 2021
ER -