固体火箭发动机颗粒材料固化冷却的可靠性分析
Juan Du1, Yangtian Li1, Yun He2
1College of Statistics and Mathematics, Inner Mongolia University of Finance and Economics, Hohhot, Inner Mongolia, China.
PloS one
|August 20, 2024
概括
这项研究分析了冷却过程中固体火箭发动机颗粒的可靠性. 一种新的双神经网络方法准确计算动态可靠性,降低工程应用的计算成本.
科学领域:
- 材料科学 材料科学 材料科学
- 机械工程 机械工程
- 航空航天工程 航空航天工程
背景情况:
- 固体火箭发动机是关键的推进系统.
- 在固化冷却过程中,颗粒结构的完整性对于可靠性至关重要.
- 准确的可靠性分析对于安全有效的运行至关重要.
研究的目的:
- 开发一种高效,准确的方法来分析固体火箭发动机颗粒结构在固化冷却过程中的动态可靠性.
- 为了降低与传统可靠性分析方法相关的计算成本.
- 为了验证拟议方法的准确性与既有技术相比.
主要方法:
- 使用ANSYS有限元素软件进行粒度结构的三维参数建模.
- 过渡性和动态热结构合分析以确定关键点和时刻.
- 开发一个双重神经网络模型,结合可靠性计算的合函数.
- 与蒙特卡洛模拟 (MCS) 方法进行验证的比较.
主要成果:
- 在固化冷却过程中识别危险点和危险时刻.
- 提取最大等效应变和温度值.
- 计算粒度结构的瞬间和动态可靠性.
- 与传统方法相比,减少计算成本的证明.
结论:
- 拟议的双神经网络方法为固体火箭发动机颗粒的动态可靠性分析提供了准确且计算效率高的方法.
- 该方法适用于实际的工程问题.
- 结果显示,与MCS方法相比,计算精度很高.
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