Research on Rapid Prediction and Optimization Method for Protective Effectiveness of Flexible Support Plate Frame Structure under Underwater Explosion Load
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摘要: 柔性支撑板架结构是大型舰船防护结构的重要组成部分。为实现柔性支撑板架结构在水下爆炸下防护效能的快速评估和设计优化,本文首先基于高置信度仿真计算建立水下爆炸作用下柔性支撑板架结构防护效能评估方法并开展试验验证;采用验证后的高置信度仿真计算方法在关键构件参数的样本空间内结合最优拉丁超立方获取样本工况数据;采用径向基神经网络(RBF)模型构建快速评估柔性支撑板架结构防护效能的代理模型。以提升极限防护效能并降低板架结构质量为目标,采用多岛遗传算法(MIGA)对基于RBF神经网络的快速预报模型进行多目标优化获取最优结构参数,所得结果可以为柔性支撑板架结构的防护效能快速评估和相关结构设计优化提供重要的技术支撑。
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关键词:
Abstract: The flexible support plate frame structure is an important component of the protective structure of large ships. To achieve rapid evaluation and design optimization of the protective effectiveness of flexible support plate structures under underwater explosions, this paper first establishes a method for evaluating the protective effectiveness of flexible support plate structures under underwater explosions based on high confidence simulation calculations and conducts experimental verification; Using a validated high confidence simulation calculation method combined with the optimal Latin hypercube in the sample space of key component parameters to obtain sample operating condition data. Using radial basis function neural network (RBF) model to construct a proxy model for quickly evaluating the protective effectiveness of flexible support plate structures.
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