对舰船设备时域抗冲击能力分析依赖大量试验数据的问题提出一种解决方法。结合遗传算法与差分进化算法形成遗传-差分混合算法，利用该算法将阻尼正弦函数合成为水下爆炸产生的时域冲击加速度，使时域重构冲击响应谱值逼近爆炸冲击响应谱真实值。以侧推盖板为例，将合成的时域冲击加速度作为输入，用 Ansys 分析其爆炸时应力应变变化。结果表明，遗传-差分混合算法优化结果较单独遗传算法有显著提升，其爆炸冲击响应谱各频点数值超过 90% 处于（–1.5/+1.5）dB 容差范围内，与目标谱匹配度更高。在实例分析中，该方法能更精准反映侧推盖板爆炸时应力应变的变化情况，有助于后续结构优化设计。
A solution is proposed to address the issue that the analysis of the time-domain shock resistance capacity of shipboard equipment heavily relies on a large amount of test data. A genetic-differential hybrid algorithm is formed by combining the genetic algorithm with the differential evolution algorithm. Utilizing this algorithm, the damped sine function is synthesized into the time-domain shock acceleration generated by underwater explosions, making the reconstructed time-domain shock response spectrum values approximate the true values of the explosion shock response spectrum. Taking the side thruster cover as an example, the synthesized time-domain shock acceleration is used as the input, and the changes in stress and strain during the explosion are analyzed using Ansys. The results show that the optimization results of the genetic-differential hybrid algorithm are significantly improved compared with those of the single genetic algorithm. The values at each frequency point of the explosion shock response spectrum are more than 90% within the tolerance range of (–1.5/+1.5) dB, demonstrating a higher degree of matching with the target spectrum. In the case study, this method can more accurately reflect the changes in stress and strain of the side thruster cover during the explosion, which is conducive to the subsequent structural optimization design.
2025,47(18): 26-32 收稿日期：2024-12-4
DOI：10.3404/j.issn.1672-7649.2025.18.005
分类号：U662.2
基金项目：国家重点研发计划课题（2018YFF0214705）
作者简介：宋庭新（1972 – ），男，教授，博士，研究方向为装备智能运维与健康管理
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