Application of genetic algorithm to calculation of detonation parameters

Xie Zhongyuan; Wang Xiaofeng; Wang Hao; Zhou Lin

doi:10.11883/1001-1455(2016)04-0503-06

Volume 36 Issue 4

Oct. 2018

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Xie Zhongyuan, Wang Xiaofeng, Wang Hao, Zhou Lin. Application of genetic algorithm to calculation of detonation parameters[J]. Explosion And Shock Waves, 2016, 36(4): 503-508. doi: 10.11883/1001-1455(2016)04-0503-06

Citation:

Xie Zhongyuan, Wang Xiaofeng, Wang Hao, Zhou Lin. Application of genetic algorithm to calculation of detonation parameters[J]. Explosion And Shock Waves, 2016, 36(4): 503-508. doi: 10.11883/1001-1455(2016)04-0503-06

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Application of genetic algorithm to calculation of detonation parameters

doi: 10.11883/1001-1455(2016)04-0503-06

1.
Xi'an Modern Chemistry Research Institute, Xi'an 710065, Shaanxi, China
2.
State Key Laboratory of Explosion Science and Technology, Beijing Institute of Technology, Beijing 100081, China

Received Date: 2014-12-24
Rev Recd Date: 2015-04-21
Publish Date: 2016-07-25

Abstract

Abstract

To solve the problems of bad convergence and to satisfy the strict requirement to initial conditions in the calculation of detonation parameters, a new calculation method was proposed based on the principles of chemical equilibrium and the method of minimum free energy by introducing the genetic algorithm, and the calculated results of typical explosives were compared with the experimental data to verify the validity and the accuracy of the new method. It is demonstrated that, by the new method, the calculated results of detonation pressure and velocity of the explosives correspond well with the experimental data with the errors under 5%, which can be applied to predict explosive properties. Also, the computational process is convenient with little manual intervention and entails only the verification of the moles variation form of the few major ingredients, which may be used for multi-formula optimization design.
- mechanics of explosion,
- genetic algorithm,
- minimum free energy,
- detonation parameters

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References(16)

References

[1]	Mader C L. Numerical modeling of explosive and propellants[M]. 2nd ed. Florida: CRC Press, 1998:33-52.
[2]	Qiu Jianbin, Feng Gang, Gao Huijun. A new equation of state for detonation products[J]. Journal of Chemical Physics, 1981, 74(8):4634-4645. doi: 10.1063/1.441653
[3]	李德华, 程新路, 杨向东, 等.TNT和TATB炸药爆轰参数的数值模拟[J].兵工学报, 2006, 27(4):638-642. doi: 10.3321/j.issn:1000-1093.2006.04.014 Li Dehua, Cheng Xinlu, Yang Xiangdong, et al. Numerical simulation of detonation parameters for TNT and TATB detonation products[J]. Acta Armamentarii, 2006, 27(4):638-642. doi: 10.3321/j.issn:1000-1093.2006.04.014
[4]	Wu Xiong. Detonation performance of condensed explosives computed with the VLW EOS[C]//Proceedings of the Eighth Symposium (International) on Detonation. Albuquerque: Office of Naval Research, 1986: 796-804.
[5]	吴雄, 龙新平, 何碧, 等.VLW爆轰产物状态方程[J].中国科学:B辑:化学, 2008, 38(12):1129-1132. http://cdmd.cnki.com.cn/Article/CDMD-82818-1011211247.htm
[6]	周霖.爆炸化学基础[M].北京:国防工业出版, 2005:33-37.
[7]	孙志艳, 潘功配, 陈宁, 等.底排药剂燃烧产气量的理论计算[J].弹箭与制导学报, 2006, 26(2):71-73. doi: 10.3969/j.issn.1673-9728.2006.02.025 Sun Zhiyan, Pan Gongpei, Chen Ning, et al. Calculation of gaseous products quantity for base bleeding agent[J]. Journal of Projectiles, Rockets, Missiles and Guidance, 2006, 26(2):71-73. doi: 10.3969/j.issn.1673-9728.2006.02.025
[8]	周霖, 谢中元.含Cs盐推进剂燃烧产物导电特性研究[J].含能材料, 2009, 17(1):99-102. doi: 10.3969/j.issn.1006-9941.2009.01.024 Zhou Lin, Xie Zhongyuan. Research on electrical conductivity of combustion production of composite propellant containing Cs salt[J]. Chinese Journal of Energetic Materials, 2009, 17(1):99-102. doi: 10.3969/j.issn.1006-9941.2009.01.024
[9]	张熙和, 云主惠.爆炸化学[M].北京:国防工业出版社, 1989:23-35.
[10]	雷英杰, 张善文, 李续武, 等.Matlab遗传算法工具箱及其应用[M].西安:西安电子科技大学出版社, 2011:45-61.
[11]	Goldberg D E. Genetic algorithms in search, optimization and machine learnin[M]. Boston: Addison-Wesley Professional, 1989:1-25.
[12]	谢中元, 周霖, 王浩, 等.遗传算法在推进剂燃烧产物组成计算中的应用[J].含能材料, 2015, 23(4):340-345. Xie Zhongyuan, Zhou Lin, Wang Hao, et al. Application of genetic algorithm in calculation of combustion equilibrium composition[J]. Chinese Journal of Energetic Materials, 2015, 23(4):340-345.
[13]	范磊, 潘功配, 欧阳的华, 等.基于遗传算法结合支持向量机的Mg/PTFE贫氧推进剂配方优化[J].推进技术, 2012, 33(4):620-624. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=tjjs201204022 Fan Lei, Pan Gongpei, Ouyang Dehua, et al. Application of genetic algorithm-support vector machine in formula optimization of Mg/PTFE fuel rich propellant[J]. Journal of Propulsion Technology, 2012, 33(4):620-624. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=tjjs201204022
[14]	安维中, 胡仰栋, 袁希钢.多相多组分化学平衡和相平衡计算的遗传算法[J].化工学报, 2003, 54(5):691-694. doi: 10.3321/j.issn:0438-1157.2003.05.020 An Weizhong, Hu Yangdong, Yuan Xigang. Calculation of multiphase and multicomponent chemical equilibrium using genetic algorithm[J]. Journal of Chemical Industry and Engineering, 2003, 54(5):691-694. doi: 10.3321/j.issn:0438-1157.2003.05.020
[15]	陈朗, 龙新平.含铝炸药爆轰[M].北京:国防工业出版社, 2004:30-38.
[16]	宁小蘶.炸药水下爆炸性能计算方法研究[D].北京: 北京理工大学, 2010: 10-21.