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关于球形冲击波峰压力随机性的研究
Lan Liu1, Weidong Chen2, Shengzhuo Lu2
1College of Aerospace and Civil Engineering, Harbin Engineering University, Harbin, 150001, China. wangyi_liulan@163.com.
Scientific reports
|December 30, 2025
概括
这项研究使用一种新的蒙特卡洛模拟方法研究了峰值冲浪压力 (P_m) 的随机性. 这些发现揭示了P_m的统计特征,有助于未来的爆炸波随机性研究.
科学领域:
- 工程 工程师 工程师 工程师
- 计算科学 计算科学
- 物理 物理学 物理
背景情况:
- 爆炸物和媒介中的物质性质随机性影响了爆炸波特征.
- 了解球形冲击波中峰值压力 (P_m) 的随机性对于安全和设计至关重要.
研究的目的:
- 探索材料属性随机性对球形冲击波中P_m随机性的影响.
- 为了研究空气和水中的球形冲击波 (RPPSBW) 峰值压力的随机性.
主要方法:
- 使用了一个动态生命周期遗传算法优化后传神经网络蒙特卡罗模拟 (DLGABPNN-MCS).
- 采用一维球形对称材料点方法 (1D-SSMPM) 进行数值模拟.
- 将初始密度和状态参数方程作为随机变量处理,P_m作为随机响应.
主要成果:
- 验证了1D-SSMPM在模拟RPPSBW中的准确性.
- 与标准遗传算法相比,证明了DLGA在优化BPNN方面的卓越效率.
- 证实了DLGABPNN计算P_m的准确性,验证了DLGABPNN-MCS的有效性.
- 获得了P_m的统计特征,包括平均值和变化系数,揭示了随机性特征.
结论:
- DLGABPNN-MCS是研究RPPSBW的一个有效方法.
- 该研究提供了关于PM的统计特征和随机性特征的见解.
- 这项研究为未来研究复杂冲击波的随机性提供了基础.
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