基于PCA-BOA-KNN模型的水下爆炸舰船结构破损评估  

Breakage assessment of ship structures based on PCA-BOA-KNN model underwater explosions

作　　者：梁潇帝 刘寅东 LIANG Xiaodi;LIU Yindong(Naval Architecture and Ocean Engineering College,Dalian Maritime University,Dalian 116026,China)

机构地区：[1]大连海事大学船舶与海洋工程学院,辽宁大连116026

出　　处：《中国舰船研究》2024年第3期150-157,共8页Chinese Journal of Ship Research

摘　　要：[目的]为解决水下爆炸作用下舰船结构破口损伤评估问题,建立一种基于PCA-BOA-KNN模型的破口预报方法。[方法]首先,分别建立五舱段和七舱段有限元模型,对21组水下爆炸工况进行爆炸仿真分析;然后,基于主成分分析(PCA)法,对加速度峰值、速度峰值、位移峰值、应力峰值和超压峰值进行降维处理,得到2个本征特征量;最后,将由主成分分析法得到的结果代入贝叶斯网络优化(BOA)的KNN模型,通过建立的破口预报模型,预测一组工况下舰船不同剖面处的破口情况。[结果]结果显示,通过主成分分析法提取的前2个因子的累计贡献率为85.165%,这2个因子可代表5个特征量的主要信息;基于PCA-BOAKNN模型的破口预报结果与仿真结果基本一致。[结论]所提的预报模型方法对舰船结构破口预报有效,对于不同主尺度船体结构破口预报有一定的参考价值。[Objective]To address the issue of assessing structural breach damage in ships under underwater explosion,a breach prediction method based on the PCA-BOA-KNN model is established.[Methods]First,finite element models for five-compartment and seven-compartment segments are constructed,and explosion simulation analysis is carried out for 21 sets of underwater explosion conditions.Subsequently,principal com-ponent analysis(PCA)is employed to reduce the dimensionality of the peak acceleration,peak velocity,peak displacement,peak stress and peak overpressure values,resulting in two principal features.Finally,the PCA results are integrated into a Bayesian optimization algorithm(BOA)K-Nearest Neighbors(KNN)model.The established breach prediction model is used to predict the breach conditions at different ship cross-sections un-der a set of conditions.[Results]The results show that by using PCA to extract the first two factors,the cu-mulative contribution rate is 85.165%.Therefore,the first two factors can represent the primary information of the five features.The results obtained using the PCA-BOA-KNN breach prediction model are generally con-sistent with the simulation results.[Conclusion]The proposed prediction model approach is effective for predicting ship structural breaches and has reference value for predicting breachs in ship structures with differ-ent principal dimensions.

关 键 词：结构分析 主成分分析 KNN算法 水下爆炸 

分 类 号：U661.43[交通运输工程—船舶及航道工程]