The determination of Jones‐Wilkins‐Lee(JWL) equation of state (EOS)parameters for considered explosives plays a dominant role in hydrocode simulations, which are commonly used in the field of contemporary explosion mechanics. A two‐point fitting method, combined with the excellent exploratory capabilities of Adaptive Genetic Algorithm (AGA) and the cylinder energy model was developed for the determination of JWL parameters of the detonation products for all ideal condensed explosives without conducting a cylinder test. The JWL parameters can be determined by the proposed method while only the initial density and the detonation velocity of the explosive can be obtained. JWL parameters of eight explosives were determined based on this method, and the results indicated that the P‐V curves of eight fitted JWL EOSs, quantitatively evaluated by the determination coefficient, were in high agreement with that of standard JWL EOSs for all considered explosives. Moreover, the validity of the two‐point fitting method was verified by corresponding numerical simulations. It was found that the numerical results based on the fitted parameters agreed well with that based on thedata from literature. The applicability of the two‐point fitting method to a certain propellant was also discussed and the research can provide a reference for other propellants.

中文翻译：

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自适应遗传算法确定爆轰产品的JWL参数

确定适用于爆炸物的琼斯·威尔金斯·李（JWL）状态方程（EOS）参数在液压编码模拟中起着主导作用，而液压编码模拟在当代爆炸力学领域中通常使用。开发了一种两点拟合方法，结合了出色的自适应遗传算法（AGA）探索能力和气瓶能量模型，用于确定所有理想浓缩炸药的起爆产品的JWL参数，而无需进行气瓶测试。通过所提出的方法可以确定JWL参数，而只能获得炸药的初始密度和爆炸速度。八个炸药JWL参数的基础上确定该方法中，结果表明，P - V对于确定的所有爆炸物，通过测定系数进行定量评估的八个拟合的JWL EOS的曲线与标准JWL EOS的曲线高度吻合。此外，通过相应的数值模拟验证了两点拟合方法的有效性。结果表明，基于拟合参数的数值结果与基于文献数据的数值结果吻合良好。还讨论了两点拟合法对某一种推进剂的适用性，该研究可为其他推进剂提供参考。