采用遗传算法确定炸药爆轰产物JWL状态方程参数

Determination of JWL-EOS parameters for explosive detonation products using genetic algorithm

针对应用数值模拟软件(如DYNA2D)人工调整参数确定炸药爆轰产物JWL状态方程参数的繁琐性和不确定性,基于爆轰的ZND模型和JWL状态方程6个参数间必须满足的3个相容关系,以爆轰驱动圆管的数值模拟有限元程序DYNA2D为子程序,建立了采用遗传优化算法确定爆轰产物JWL状态方程参数的方法和程序,确定了PBXC03和PBXC10炸药爆轰产物JWL状态方程参数,应用确定的状态方程参数模拟爆轰驱动圆管过程,计算结果与实验结果符合良好,表明建立的用遗传优化算法确定爆轰产物JWL状态方程参数的方法和程序是合理可行的。

In view of the complexity and uncertainty of manual adjustment parameters,a new methodology of determining JWL-EOS parameters of the detonation product,based on the cylinder test data, is established by using the genetic algorithms.In this method,the ZND detonation model and three compatible relationships between six parameters of JWL EOS of the detonation product are taken into account,and the finite element procedure DYNA2Dof explosive detonation driving a cylinder is considered as a subroutine.The JWL-EOS parameters of the detonation products for PBXC03and PBXC10explosives are determined by using this method.Then,the cylinder expansion processes,respectively driven by PBXC03and PBXC10explosives,are simulated and compared with the cylinder test data.The calculated results are in good agreement with the experiments.Therefore,the method and program developed in this paper are reasonable.