Numerical parameter optimizations of the Ignition and Growth model for a HMX plastic bonded explosive
Numerical parameter optimizations of the Ignition and Growth model for a HMX plastic bonded explosive
复制标题
HMX塑料粘结炸药点火和增长模型的数值参数优化
DOI：
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发表时间：
2018
影响因子：
3.2
通讯作者：
H. Springer
中科院分区：
文献类型：
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作者：
J. Gambino;C. Tarver;H. Springer
提出了一种新的高能炸药点火与增长（I&G）反应流模型参数优化方法。I&G模型预测了炸药在动态载荷作用下的冲击起爆响应。然而，校准模型是一个耗时的过程，因为它有几个参数，通常需要多个数据集，并且参数和数据之间没有直接的相关性。在这项研究中，我们耦合一个可扩展的优化算法，在多物理场代码ALE 3D的冲击起爆实验的模拟。基于一维火炮冲击实验中嵌入式压力计的计算值和测量值之间的差异最小化，我们为HMX（1，3，5，7-四硝基-1，3，5，7-四氮杂环辛烷）基炸药LX-07 [90 wt. % HMX，10 wt. % Viton A]开发了四个I&G模型参数集。我们的研究表明，基于冲击波到达时间和压力脉冲形状的成本函数表现出最好的协议与实验数据。我们提出了一种新的方法来优化的点火和增长（I&G）反应流模型的参数的烈性炸药。I&G模型预测了炸药在动态载荷作用下的冲击起爆响应。然而，校准模型是一个耗时的过程，因为它有几个参数，通常需要多个数据集，并且参数和数据之间没有直接的相关性。在这项研究中，我们耦合一个可扩展的优化算法，在多物理场代码ALE 3D的冲击起爆实验的模拟。基于一维火炮冲击实验中嵌入式压力计的计算值和测量值之间的差异最小化，我们为HMX（1，3，5，7-四硝基-1，3，5，7-四氮杂环辛烷）基炸药LX-07 [90 wt. % HMX，10 wt. % Viton A]开发了四个I&G模型参数集。我们的研究表明，基于冲击波到达时间和压力脉冲形状的成本函数与实验数据吻合得最好。
We present a novel method for optimizing parameters of the Ignition and Growth (I&G) reactive flow model for high explosives. The I&G model predicts the shock initiation response of explosives subjected to dynamic loading. However, calibrating the model is a time-consuming process because it has several parameters, typically requires multiple data sets, and there are no direct correlations between parameters and data. In this study, we couple a scalable optimization algorithm to simulations of shock initiation experiments in the multi-physics code ALE3D. We develop four I&G model parameter sets for the HMX (1,3,5,7-tetranitro-1,3,5,7-tetrazocane)-based explosive LX-07 [90 wt. % HMX, 10 wt. % Viton A] based on minimizing the difference between calculations and measurements at the embedded pressure gauges in 1D gun shock experiments. Our study shows that a cost function based on both shock time of arrival and pressure pulse shape demonstrates the best agreement with experimental data.We present a novel method for optimizing parameters of the Ignition and Growth (I&G) reactive flow model for high explosives. The I&G model predicts the shock initiation response of explosives subjected to dynamic loading. However, calibrating the model is a time-consuming process because it has several parameters, typically requires multiple data sets, and there are no direct correlations between parameters and data. In this study, we couple a scalable optimization algorithm to simulations of shock initiation experiments in the multi-physics code ALE3D. We develop four I&G model parameter sets for the HMX (1,3,5,7-tetranitro-1,3,5,7-tetrazocane)-based explosive LX-07 [90 wt. % HMX, 10 wt. % Viton A] based on minimizing the difference between calculations and measurements at the embedded pressure gauges in 1D gun shock experiments. Our study shows that a cost function based on both shock time of arrival and pressure pulse shape demonstrates the best agreement with experimental data.