射弹透到石灰砂土壤中 机场跑道铺路用遗传算法优化优化
Chucai Peng1,2, Jingnan Huang3, Xichen Sun2
1School of Civil Engineering and Architecture, Hunan Institute of Science and Technology, Yueyang 414006, China.
Materials (Basel, Switzerland)
|December 17, 2024
概括
本研究使用离散元件方法 (DEM) 对机场跑道的投射物影响模型. 它评估损坏并预测透深度 (DOP) 以改进跑道防御策略.
科学领域:
- 土木工程 土木工程是指土木工程.
- 材料科学 材料科学 材料科学
- 计算力学 计算力学 计算力学
背景情况:
- 机场跑道路面是危险的基础设施,容易受到投射弹的影响.
- 评估集束弹药造成的伤害需要了解弹子穿透动态.
研究的目的:
- 开发一个数值模型来评估机场跑道路面在弹弹撞击下的损坏.
- 为了调查弹子透到混凝土路面和石灰岩沙子底层.
- 建立一种预测和优化透深度的方法.
主要方法:
- 离散元素方法 (DEM) 用于建模混凝土和石灰砂的行为.
- 通过单轴和三轴压缩模拟对DEM参数进行校准.
- 用单层透测试验证DEM模型的验证.
- 为DOP预测开发一个反向传播 (BP) 神经网络代理模型.
- 将遗传算法与BP模型结合起来,以实现智能优化.
主要成果:
- 经验证的DEM模型,射弹穿透的相对误差≤5.6%.
- 模拟为各种冲击条件提供了透深度 (DOP) 数据.
- BP神经网络准确地预测了DOP,从而实现了快速预测.
- 基因算法优化了路面透分析.
结论:
- 经过验证的DEM模型为深度透损害评估提供了可靠的工具.
- 集成的BP神经网络和遗传算法方法使跑道路面透率的高效和智能优化成为可能.
- 这些发现有助于理解和减轻弹弹撞击造成的跑道损坏.
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