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Determination of Parameters of JWL Equation of State for Unreacted Explosives Based on BP-GA Algorithm
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1.School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China;2.Science and technology on combustion and explosion laboratory, Xi''an modern chemistry research institute, Xi''an 710065, China;3.National Special Superfine Powder Engineering Research Center, Nanjing University of Science and Technology, Nanjing 210094, China

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    Abstract:

    In order to determine the parameters of the JWL equation of state for unreacted explosives, a method to determine the JWL parameters by using the BP neural network-Genetic Algorithm (BP-GA Algorithm) and the shock Hugoniot was proposed. Firstly, BP neural network is trained to fit the nonlinear system composed of different JWL parameters, and then Genetic Algorithm is used to search the set of JWL parameters with the largest fitness value. The results show that the JWL parameters can be determined by the BP-GA Algorithm when the initial density, detonation velocity, Hugoniot parameters C0 and S are known. The p-v curves of eight kinds of unreacted explosives determined by BP-GA Algorithm are consistent with those determined by test data, and the R2 of eight p-v curves are not less than 0.9995, which proves the high accuracy of BP-GA algorithm.

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崔浩,郭锐,宋浦,等. BP-GA算法确定未反应炸药的JWL状态方程参数[J].含能材料,2022,30(1):43-49.
CUI Hao, GUO Rui, SONG Pu, et al. Determination of Parameters of JWL Equation of State for Unreacted Explosives Based on BP-GA Algorithm[J]. Chinese Journal of Energetic Materials,2022,30(1):43-49.

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History
  • Received:May 26,2021
  • Revised:October 09,2021
  • Adopted:July 28,2021
  • Online: September 30,2021
  • Published: January 25,2022