基于PCA-BOA-KNN模型的水下爆炸舰船结构破损评估OA北大核心CSTPCD

[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.