Calibration of Parameters of the Equation of State of Black Powder Based on Underwater Explosion Experiments and Genetic Algorithm

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Auteurs principaux: Yuzhu Zhang, Jin Wang, Haoran Hu, Jianheng Li, Yi Luo
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Publié: Wiley 2025
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author Yuzhu Zhang
Jin Wang
Haoran Hu
Jianheng Li
Yi Luo
author_facet Yuzhu Zhang
Jin Wang
Haoran Hu
Jianheng Li
Yi Luo
Yuzhu Zhang
Jin Wang
Haoran Hu
Jianheng Li
Yi Luo
collection Wiley Open Access
contents Calibration of Parameters of the Equation of State of Black Powder Based on Underwater Explosion Experiments and Genetic Algorithm Yuzhu Zhang Jin Wang Haoran Hu Jianheng Li Yi Luo Propellants, Explosives, Pyrotechnics ABSTRACT Black powder is still widely used in civil and scientific research fields, and it occasionally causes hazardous accidents. Thus, it is of great significance to describe its explosion effects. From a phenomenological perspective, this study uses the Jones‐Wilkins‐Lee (JWL) equation of state (EOS) to describe the explosion products of black powder, which makes it more convenient to conduct numerical simulations of black powder explosions. In order to accurately and quickly obtain the parameters of the JWL EOS for the explosion products, a calibration method combining underwater explosion shock wave data with an improved genetic algorithm is proposed. In practical applications, the peak pressure of the shock wave is the primary factor considered when evaluating hazards. Starting from the peak pressure of the shock wave obtained from underwater explosion experiments, the parameters are continuously optimized based on the combination of the genetic algorithm and numerical simulation, and finally, the EOS of the explosive explosion products is determined. The results show that the pressure‐distance attenuation curve calculated based on the parameters of the JWL equation after identification has a small deviation from the test data and the fitted empirical formula, with the coefficient of determination ( R 2 ) being greater than 0.98. At the same time, by changing the amount of explosive and comparing it with other test working conditions, the two are in good agreement, further demonstrating the effectiveness and accuracy of the proposed method. 10.1002/prep.70091 http://onlinelibrary.wiley.com/termsAndConditions#vor
doi_str_mv 10.1002/prep.70091
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id wiley_oa_10_1002_prep_70091
institution Wiley Open Access
license_str_mv http://onlinelibrary.wiley.com/termsAndConditions#vor
publishDate 2025
publisher Wiley
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spellingShingle Calibration of Parameters of the Equation of State of Black Powder Based on Underwater Explosion Experiments and Genetic Algorithm
Yuzhu Zhang
Jin Wang
Haoran Hu
Jianheng Li
Yi Luo
Propellants, Explosives, Pyrotechnics
Calibration of Parameters of the Equation of State of Black Powder Based on Underwater Explosion Experiments and Genetic Algorithm Yuzhu Zhang Jin Wang Haoran Hu Jianheng Li Yi Luo Propellants, Explosives, Pyrotechnics ABSTRACT Black powder is still widely used in civil and scientific research fields, and it occasionally causes hazardous accidents. Thus, it is of great significance to describe its explosion effects. From a phenomenological perspective, this study uses the Jones‐Wilkins‐Lee (JWL) equation of state (EOS) to describe the explosion products of black powder, which makes it more convenient to conduct numerical simulations of black powder explosions. In order to accurately and quickly obtain the parameters of the JWL EOS for the explosion products, a calibration method combining underwater explosion shock wave data with an improved genetic algorithm is proposed. In practical applications, the peak pressure of the shock wave is the primary factor considered when evaluating hazards. Starting from the peak pressure of the shock wave obtained from underwater explosion experiments, the parameters are continuously optimized based on the combination of the genetic algorithm and numerical simulation, and finally, the EOS of the explosive explosion products is determined. The results show that the pressure‐distance attenuation curve calculated based on the parameters of the JWL equation after identification has a small deviation from the test data and the fitted empirical formula, with the coefficient of determination ( R 2 ) being greater than 0.98. At the same time, by changing the amount of explosive and comparing it with other test working conditions, the two are in good agreement, further demonstrating the effectiveness and accuracy of the proposed method. 10.1002/prep.70091 http://onlinelibrary.wiley.com/termsAndConditions#vor
title Calibration of Parameters of the Equation of State of Black Powder Based on Underwater Explosion Experiments and Genetic Algorithm
topic Propellants, Explosives, Pyrotechnics
url https://onlinelibrary.wiley.com/doi/10.1002/prep.70091