基于遗传算法辨识炸药JWL状态方程参数的研究

崔浩1,郭锐1,宋浦2,顾晓辉1,周昊1,邢柏阳1

振动与冲击 ›› 2022, Vol. 41 ›› Issue (9) : 174-180.

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振动与冲击 ›› 2022, Vol. 41 ›› Issue (9) : 174-180.
论文

基于遗传算法辨识炸药JWL状态方程参数的研究

  • 崔浩1,郭锐1,宋浦2,顾晓辉1,周昊1,邢柏阳1
作者信息 +

Identification of parameters of explosive JWL state equation based on genetic algorithm

  • CUI Hao1, GUO Rui1, SONG Pu2, GU Xiaohui1, ZHOU Hao1, XING Boyang1
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文章历史 +

摘要

为了准确方便地获取炸药爆轰产物JWL(Jones-Wilkins-Lee)状态方程参数,提出了一种基于遗传算法和圆筒能量模型辨识CHNO型炸药爆轰产物JWL状态方程参数的方法。相比于传统的圆筒试验法,该方法极大地降低了获取炸药JWL参数的成本,只需已知炸药的初始密度和爆速便可确定JWL状态方程参数。采用该方法辨识得到了4种常用炸药的JWL状态方程参数,结果表明:辨识得到的4条JWL状态方程的P-V曲线和标准JWL状态方程的P-V曲线偏差较小,且决定系数均大于0.99;数值仿真结果表明采用辨识参数和标准参数计算得到的圆筒外壁径向位移曲线接近,证明了遗传算法辨识JWL状态方程参数的有效性和高精度。

Abstract

In order to obtain the parameters of JWL(Jones-Wilkins-Lee) equation of state (EOS) of detonation products for explosives accurately and conveniently. A method for identifying the parameters of JWL EOS of detonation products for CHNO explosives was proposed based on the Genetic Algorithm and cylinder energy model. Compared with the traditional cylinder test, the cost of obtaining JWL parameters of the explosive can be greatly reduced by this method. The parameters of JWL EOS can be determined when the initial density and detonation velocity of the explosive are known. The JWL parameters of four explosives were identified using this method, and the results show that the deviation of four P-V curves between the identified JWL EOS and standard JWL EOS is small, and the values of determination coefficient of the identified curves are all greater than 0.99. The numerical results show that the radial displacement curves of the outer cylinder wall calculated by identified parameters are close to that calculated by standard parameters, which proves the validity and high precision of the Genetic Algorithm in identifying the parameters of JWL EOS.

关键词

JWL状态方程 / 初始密度 / 爆速 / 遗传算法 / 数值计算

Key words

JWL(Jones-Wilkins-Lee) equation of state / initial density / detonation velocity / Genetic Algorithm / numerical calculation

引用本文

导出引用
崔浩1,郭锐1,宋浦2,顾晓辉1,周昊1,邢柏阳1. 基于遗传算法辨识炸药JWL状态方程参数的研究[J]. 振动与冲击, 2022, 41(9): 174-180
CUI Hao1, GUO Rui1, SONG Pu2, GU Xiaohui1, ZHOU Hao1, XING Boyang1. Identification of parameters of explosive JWL state equation based on genetic algorithm[J]. Journal of Vibration and Shock, 2022, 41(9): 174-180

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