【摘要】 在深水爆炸条件下,圆柱壳等耐压结构会出现与浅水环境下不同的失效模式,即失稳屈曲。为研究圆柱壳结构在深水爆炸条件下发生失稳屈曲的条件,实现对其屈曲状态的预测,首先建立了数值仿真模型,对不同药量、爆距和水深条件下的圆柱壳屈曲结果进行了仿真分析。基于仿真结果,设计了随机森林模型对屈曲状态进行了预测。结果表明,在深水环境轴向爆炸的加载条件下,基于随机森林算法构建的预测模型可以较好地实现对特定结构参数下圆柱壳失稳状态的预测, 2种结构下的预测准确率分别达到了93.75%和87.5%,并对药量、爆距和静压强度3种特征对结构状态影响的重要性程度进行了评价,可为圆柱壳屈曲条件研究提供参考。更多还原

【Abstract】 Under deep-water explosion conditions, pressure-resistant structures such as cylindrical shells will have a different failure mode from that in a shallow water environment, namely, instability buckling. In order to study the conditions for the occurrence of instability buckling of cylindrical shells under deep water explosion conditions and predict the buckling state, a numerical simulation model was first established to simulate and analyze the results of the buckling of cylindrical shells under the conditions of different charge amounts, blast distance, and water depths. Based on the simulation results, a random forest model was designed to predict the buckling state. The results show that under the loading conditions of axial explosion in a deep water environment, the prediction model constructed based on the random forest algorithm can effectively predict the unstable state of cylindrical shells under specific structural parameters. The prediction accuracy rates for the two structures reach 93.75% and 87.5%, respectively. The importance of the three characteristics, charge amount, blast distance, and static pressure strength, in influencing the structural state is evaluated. This can provide a reference for the study of the buckling conditions of cylindrical shells.更多还原