An analytical method is presented to fit parameters of Jones-Wilkins-Lee （JWL） equation of state （EOS） for the chemical process of aluminum-polytetrafluoroethylene （ AI/PTFE ） mixture. Subroutine codes for both ...An analytical method is presented to fit parameters of Jones-Wilkins-Lee （JWL） equation of state （EOS） for the chemical process of aluminum-polytetrafluoroethylene （ AI/PTFE ） mixture. Subroutine codes for both strength model and EOS were developed in explicit-FE code AUTODYN. Firstly, the shock Hugoniot data of reactive A1/PTFE mixture was analytically derived by implemen- ting this methodology. The JWL EOS was verified to fit shock Hugoniot data of both reacted and un- reacted A1/PTFE mixture, which gives reasonable results. Furthermore, to numerically ascertain the reaction phases of ignition and growth and quasi detonation of A1/PTFE mixture, characterized ex- periment was setup to validate the reaction phases and coefficients of JWL EOS for A1/PTFE mix- ture. From the test, a promising example of reactive mixture A1/PTFE is capable to enhance lethality of weapons, the status computation in clude quasi-detonation pressure and temperature of A1/PTFE mixture in different chemical reaction phases is validated.展开更多
为达成快速精准预测爆炸成型弹丸(explosively formed projectile,EFP)速度以及检验校准JWL状态方程参数等目的,使用LS-DYNA有限元软件建立Φ65 mm EFP的数值模型,研究JWL状态方程各参数对EFP速度的影响规律。在此基础上,拟合建立基于JW...为达成快速精准预测爆炸成型弹丸(explosively formed projectile,EFP)速度以及检验校准JWL状态方程参数等目的,使用LS-DYNA有限元软件建立Φ65 mm EFP的数值模型,研究JWL状态方程各参数对EFP速度的影响规律。在此基础上,拟合建立基于JWL状态方程参数的EFP速度计算公式,构建EFP速度的BP神经网络预测模型,生成学习样本对网络模型进行训练。结果表明,JWL状态方程参数对EFP速度存在显著影响,参数R_(1)影响最大,各参数影响的大小顺序为R_(1)、A、B、R_(2)、E_(0)、ω;计算公式和网络模型均能够精准预测EFP速度,网络模型的预测精度优于计算公式,其中计算公式的结果误差绝大部分能够控制在10%以内,网络模型的预测误差均不超过5%。展开更多
为探讨RD X基高聚物黏结炸药在小尺寸下爆轰产物的状态方程,采用两种直径(Φ10 m m和Φ25 m m)的圆筒试验研究了RD X基高聚物黏结炸药的做功能力,获得了圆筒壁膨胀位移、速度与时间的关系;利用非线性有限元动力学程序A n sy s/L s-D yn...为探讨RD X基高聚物黏结炸药在小尺寸下爆轰产物的状态方程,采用两种直径(Φ10 m m和Φ25 m m)的圆筒试验研究了RD X基高聚物黏结炸药的做功能力,获得了圆筒壁膨胀位移、速度与时间的关系;利用非线性有限元动力学程序A n sy s/L s-D yn a,对炸药的圆筒实验进行了数值模拟;通过与实验结果相比较,得到了RD X基高聚物黏结炸药爆轰产物JW L状态方程参数。展开更多
基金Supported by Specialized Research Fund for the Doctoral Program of Higher Education(20091101120009)the Project of State Key Laboratory of Science and Technology(YBKT09-03)+1 种基金the National Natural Science Foundation of China(11032002)National Basic Research Program of China(2010CB832706)
文摘An analytical method is presented to fit parameters of Jones-Wilkins-Lee （JWL） equation of state （EOS） for the chemical process of aluminum-polytetrafluoroethylene （ AI/PTFE ） mixture. Subroutine codes for both strength model and EOS were developed in explicit-FE code AUTODYN. Firstly, the shock Hugoniot data of reactive A1/PTFE mixture was analytically derived by implemen- ting this methodology. The JWL EOS was verified to fit shock Hugoniot data of both reacted and un- reacted A1/PTFE mixture, which gives reasonable results. Furthermore, to numerically ascertain the reaction phases of ignition and growth and quasi detonation of A1/PTFE mixture, characterized ex- periment was setup to validate the reaction phases and coefficients of JWL EOS for A1/PTFE mix- ture. From the test, a promising example of reactive mixture A1/PTFE is capable to enhance lethality of weapons, the status computation in clude quasi-detonation pressure and temperature of A1/PTFE mixture in different chemical reaction phases is validated.
文摘为达成快速精准预测爆炸成型弹丸(explosively formed projectile,EFP)速度以及检验校准JWL状态方程参数等目的,使用LS-DYNA有限元软件建立Φ65 mm EFP的数值模型,研究JWL状态方程各参数对EFP速度的影响规律。在此基础上,拟合建立基于JWL状态方程参数的EFP速度计算公式,构建EFP速度的BP神经网络预测模型,生成学习样本对网络模型进行训练。结果表明,JWL状态方程参数对EFP速度存在显著影响,参数R_(1)影响最大,各参数影响的大小顺序为R_(1)、A、B、R_(2)、E_(0)、ω;计算公式和网络模型均能够精准预测EFP速度,网络模型的预测精度优于计算公式,其中计算公式的结果误差绝大部分能够控制在10%以内,网络模型的预测误差均不超过5%。
文摘为探讨RD X基高聚物黏结炸药在小尺寸下爆轰产物的状态方程,采用两种直径(Φ10 m m和Φ25 m m)的圆筒试验研究了RD X基高聚物黏结炸药的做功能力,获得了圆筒壁膨胀位移、速度与时间的关系;利用非线性有限元动力学程序A n sy s/L s-D yn a,对炸药的圆筒实验进行了数值模拟;通过与实验结果相比较,得到了RD X基高聚物黏结炸药爆轰产物JW L状态方程参数。
