基于GRNN的水下爆炸容器动态响应预测

Dynamic Response Prediction of Underwater Explosive Vessels based on GRNN

为了保证水下爆炸容器在服役期间的安全性,有必要进行容器的动态响应预测。对服役期的水下爆炸容器在不同载荷条件下进行动态响应测试试验,选取时间、药量、加载静水压和应变片位置的11个亚变量,共14个影响因素作为输入变量,容器的最大应力作为输出变量,建立基于GRNN的水下爆炸容器动态响应预测模型,仿真载荷与容器应变的映射关系,并通过10折交叉验证法验证了该模型具有较好的预测性能。同时对比基于BPNN的预测模型,GRNN模型的拟合与预测性能明显优于BPNN模型,进一步说明了GRNN方法在水下爆炸容器动态响应预测过程中的有效性。

In order to ensure the safety of the underwater explosion vessels in service,it is necessary to predict the dynamic response of the container.The dynamic response tests were carried out under different load conditions on the underwater explosion vessel in the service period.14 influencing factors were selected as input variables,including time,the amount of explosives,hydrostatic pressures,and 11 dummy variables about strain gauge positions,and the maximum stress of the vessel was identified as output variable.The dynamic response prediction model of the vessel based on GRNN was established to simulate the mapping relationship between the load and the strain of vessel. Moreover,the model was verified as a better predictive performance through the 10-fold cross-validation method.At the same time,compared with the BPNN prediction model,the fitting and prediction performance of the GRNN model were significantly better than the BPNN model,which further demonstrates the effectiveness of the GRNN method in the dynamic response prediction process of underwater explosion vessels.