Rapid prediction and optimization method for protective effectiveness of flexibly supported plate structure under underwater explosive

GUO Tongtong; GUO Yu; YU Jun; CHEN Juan; WANG Haikun; ZHANG Lunping

doi:10.11883/bzycj-2024-0068

Volume 44 Issue 10

Oct. 2024

Turn off MathJax

Article Contents

Article Navigation > Explosion And Shock Waves > 2024 > 44(10): 105101

GUO Tongtong, GUO Yu, YU Jun, CHEN Juan, WANG Haikun, ZHANG Lunping. Rapid prediction and optimization method for protective effectiveness of flexibly supported plate structure under underwater explosive[J]. Explosion And Shock Waves, 2024, 44(10): 105101. doi: 10.11883/bzycj-2024-0068

Citation:

GUO Tongtong, GUO Yu, YU Jun, CHEN Juan, WANG Haikun, ZHANG Lunping. Rapid prediction and optimization method for protective effectiveness of flexibly supported plate structure under underwater explosive[J]. Explosion And Shock Waves, 2024, 44(10): 105101. doi: 10.11883/bzycj-2024-0068

Citation:

GUO Tongtong, GUO Yu, YU Jun, CHEN Juan, WANG Haikun, ZHANG Lunping. Rapid prediction and optimization method for protective effectiveness of flexibly supported plate structure under underwater explosive[J]. Explosion And Shock Waves, 2024, 44(10): 105101. doi: 10.11883/bzycj-2024-0068

PDF( 10994 KB)

Rapid prediction and optimization method for protective effectiveness of flexibly supported plate structure under underwater explosive

doi: 10.11883/bzycj-2024-0068

GUO Tongtong^{1, 2
,},
GUO Yu^{1, 2},
YU Jun^{1, 2},
CHEN Juan³,
WANG Haikun^{1, 2},
ZHANG Lunping^{1, 2
,
,}

1.
China Ship Scientific Research Center, Wuxi 214000, Jiangsu, China
2.
Taihu Laboratory of Deep Sea Technology Science, Wuxi 214000, Jiangsu, China
3.
China Ship Development and Design Center, Wuhan 430000, Hubei, China

Received Date: 2024-03-11
Rev Recd Date: 2024-08-21

Available Online: 2024-09-02

Publish Date: 2024-10-05

Abstract

Abstract

In order to make a rapid assessment and design optimization of the protective performance of flexibly supported plate structure subjected to underwater explosion, a high-confidence simulation method is first established for the protective performance of flexibly supported plate structure subjected to underwater explosion. Then, underwater explosion tests were conducted on the flexibly supported plate structure to validate the computational accuracy of the developed high-confidence simulation method by comparing the deformation between the simulation results and the experimental results. The thickness of the blast-facing panel, the thickness of the flexible supports, and the thickness of the stiffened web are identified as the three key characteristic parameters that affect the protective performance of the flexibly supported plate. Utilizing optimized Latin-hypercube sampling method, 15 sample conditions are extracted from the sample space. The validated high-confidence simulation method is then used to generate protective performance data for these 15 sample conditions, which is subsequently employed to construct a proxy model for rapid assessment of the protective performance of the flexibly supported plates by using a radial basis function (RBF) neural network. The accuracy of the proxy model is assessed by using 5 randomly selected conditions, and the results show that the prediction error is within 7%, indicating a high level of prediction accuracy. The multi-island genetic algorithm (MIGA) is applied to the proxy model to perform multi-objective optimization and obtain a pareto set of solutions. The condition with the maximum specific ultimate energy absorption per unit mass is selected as the optimal structural parameters for the flexibly supported plate, achieving the goals on enhancing the ultimate protective performance and reducing the total structural mass. The rapid prediction and optimization method developed in this study provides significant technical support for the design and optimization of flexibly supported plate, and ensures both effective protection and weight savings.
- underwater explosion,
- flexibly supported plate,
- protective effectiveness,
- sampling method,
- neural network,
- multi objective optimization

FullText(HTML)

References(12)

References

[1]	朱锡, 张振华, 刘润泉, 等. 水面舰艇舷侧防雷舱结构模型抗爆试验研究 [J]. 爆炸与冲击, 2004, 24(2): 133–139. DOI: 10.11883/1001-1455(2004)02-0133-7. ZHU X, ZHANG Z H, LIU R Q, et al. Experimental study on the explosion resistance of cabin near shipboard of surface warship subjected to underwater contact explosion [J]. Explosion and Shock Waves, 2004, 24(2): 133–139. DOI: 10.11883/1001-1455(2004)02-0133-7.
[2]	侯海量, 张成亮, 朱锡. 水下舷侧防雷舱结构防护效能评估方法研究 [J]. 中国舰船研究, 2013, 8(3): 22–26. DOI: 10.3969/j.issn.1673-3185.2013.03.005. HOU H L, ZHANG C L, ZHU X. Evaluation methods of the performance of multi-layered blast protection blisters subjected to underwater contact explosions [J]. Chinese Journal of Ship Research, 2013, 8(3): 22–26. DOI: 10.3969/j.issn.1673-3185.2013.03.005.
[3]	吴林杰, 朱锡, 侯海量, 等. 舰船水下防护结构舷侧空舱内部结构优化 [J]. 海军工程大学学报, 2017, 29(2): 17–21. DOI: 10.7495/j.issn.1009-3486.2017.02.004. WU L J, ZHU X, HOU H L, et al. Optimization research on broadside cabin inside structure of warship underwater defensive structure [J]. Journal of Naval University of Engineering, 2017, 29(2): 17–21. DOI: 10.7495/j.issn.1009-3486.2017.02.004.
[4]	张弩, 明付仁, 吴国民, 等. 舰船舷侧防御纵壁弧形支撑结构水下接触爆炸的防护效果研究 [J]. 船舶力学, 2019, 23(10): 1257–1265. DOI: 10.3969/j.issn.1007-7294.2019.10.012. ZHANG N, MING F R, WU G M, et al. Study on the protection effects of arc-shaped structures on warship broadside subjected to underwater contact explosions [J]. Journal of Ship Mechanics, 2019, 23(10): 1257–1265. DOI: 10.3969/j.issn.1007-7294.2019.10.012.
[5]	柴崧淋, 侯海量, 金键, 等. 水下接触爆炸下舷侧防雷舱吸能结构形式试验研究 [J]. 兵工学报, 2022, 43(6): 1395–1406. DOI: 10.12382/bgxb.2021.0328. CHAI S L, HOU H L, JIN J, et al. Experimental study on the energy-absorbing structure of broadside defense cabin subjected to underwater contact explosion [J]. Acta Armamentarii, 2022, 43(6): 1395–1406. DOI: 10.12382/bgxb.2021.0328.
[6]	姚凤翔, 王鸿东, 张海华, 等. 数据驱动的可调螺距桨船舶油耗模型及航速优化 [J]. 中国造船, 2023, 64(2): 226–239. DOI: 10.3969/j.issn.1000-4882.2023.02.020. YAO F X, WANG H D, ZHANG H H, et al. Data-driven fuel consumption model and speed optimization of ships with controllable pitch propeller [J]. Shipbuilding of China, 2023, 64(2): 226–239. DOI: 10.3969/j.issn.1000-4882.2023.02.020.
[7]	张晓东, 权晓波, 王占莹. 代理模型在水下航行体空泡压力预示的应用研究 [J]. 船舶力学, 2018, 22(1): 12–21. DOI: 10.3969/j.issn.1007-7294.2018.01.002. ZHANG X D, QUAN X B, WANG Z Y. Research on the prediction method of unsteady cavity pressure development of underwater vehicle based on surrogate model [J]. Journal of Ship Mechanics, 2018, 22(1): 12–21. DOI: 10.3969/j.issn.1007-7294.2018.01.002.
[8]	强以铭, 陈诗楠, 陈奕宏, 等. 基于机器学习的船舶螺旋桨敞水性能预报代理模型 [J]. 中国造船, 2022, 63(5): 181–188. DOI: 10.3969/j.issn.1000-4882.2022.05.017. QIANG Y M, CHEN S N, CHEN Y H, et al. Prediction of open-water characteristics of ship propellers based on machine learning surrogate model [J]. Shipbuilding of China, 2022, 63(5): 181–188. DOI: 10.3969/j.issn.1000-4882.2022.05.017.
[9]	王卓, 孔祥韶, 吴卫国. 基于遗传算法的邮轮舷侧开口结构补强技术研究 [J]. 中国造船, 2023, 64(6): 86–100. DOI: 10.3969/j.issn.1000-4882.2023.06.008. WANG Z, KONG X S, WU W G. Research on reinforcement technique for side shell with openings on curise ships based on genetic algorithm [J]. Shipbuilding of China, 2023, 64(6): 86–100. DOI: 10.3969/j.issn.1000-4882.2023.06.008.
[10]	孟利平. 应变率和应力三轴度对船用钢变形和断裂的影响研究 [D]. 无锡: 中国船舶科学研究中心, 2016: 83–89. MENG L P. Influence of strain rate and stress triaxiality on the deformation and fracture behavior of ship hull steel [D]. Wuxi: China Ship Scientific Research Center, 2016: 83–89.
[11]	郭桐桐, 张伦平, 伍星星, 等. 平板和板架结构在水下非接触爆炸下冲击波载荷与速度场等效关系研究 [J]. 振动与冲击, 2024, 43(16): 146–151. GUO T T, ZHANG L P, WU X X, et, al. Study on the equivalent relationship between shock wave load and velocity field load of plate and plate frame structure under underwater non-contact explosion [J]. Journal of Vibration and Shock, 2024, 43(16): 146–151.
[12]	伍星星, 刘建湖, 陈嘉伟, 等. 冲击载荷作用下Q345钢失效应变与单元尺寸关系研究 [J]. 船舶力学, 2023, 27(2): 260–271. DOI: 10.3969/j.issn.1007-7294.2023.02.010. WU X X, LIU J H, CHEN J W, et al. Influence of element size on failure strain of Q345B steel under intensive loading [J]. Journal of Ship Mechanics, 2023, 27(2): 260–271. DOI: 10.3969/j.issn.1007-7294.2023.02.010.