| 爆轰产物状态方程的水下爆炸反演理论研究 |
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| 引用本文： | 杨晨琛,李晓杰,闫鸿浩,王小红,王宇新. 爆轰产物状态方程的水下爆炸反演理论研究[J]. 爆炸与冲击, 2019, 39(9): 23-33. DOI: 10.11883/bzycj-2018-0210 |
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| 作者姓名： | 杨晨琛 李晓杰 闫鸿浩 王小红 王宇新 |
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| 作者单位： | 大连理工大学工程力学系工业装备结构分析国家重点实验室,辽宁大连,116023 |
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| 基金项目： | 国家自然科学基金（11272081，11672067） |
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| 摘 要： | 由于水下爆炸过程中爆轰产物的信息以水中压缩波形式向外传递,本文旨在探讨如何利用水下爆炸试验数据确定爆轰产物的状态方程。相较于常规圆筒试验,水下爆炸试验具有装置简单成本低、装药尺寸限制少、测定压力范围更广的特点,更适用于大药量或非理想炸药的现场测试。本文从水中冲击波轨迹和波后压力时程曲线出发,发展了由冲击波及其波后流场还原水气界面的逆特征线算法,以及根据水气界面确定爆轰产物状态方程的遗传算法。与水下爆炸正演结果对比,发现逆特征线法可以较准确地还原水气界面的位置和压力参数,有效压力下限可达2 MPa,远低于圆筒试验的测试下限0.1GPa。根据水气界面的反演结果,遗传算法也能稳定地优化JWL方程参数,8种常用炸药的等熵衰减压力误差在爆压至0.01 GPa的区间内都小于3%。结果表明,利用本文的逆特征线算法和遗传算法,理论上可以反演出压力范围较宽、准确性较高的爆轰产物状态方程。
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| 关 键 词： | 水下爆炸试验 逆特征线法 遗传算法 水气界面反演 JWL方程参数优化 |
| 收稿时间： | 2018-06-19 |
An inverse method for the equation of state of detonation products from underwater explosion tests |
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| YANG Chenchen,LI Xiaojie,YAN Honghao,WANG Xiaohong,WANG Yuxin. An inverse method for the equation of state of detonation products from underwater explosion tests[J]. Explosion and Shock Waves, 2019, 39(9): 23-33. DOI: 10.11883/bzycj-2018-0210 |
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| Authors: | YANG Chenchen LI Xiaojie YAN Honghao WANG Xiaohong WANG Yuxin |
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| Affiliation: | State Key Laboratory of Structural Analysis for Industrial Equipment, Dalian University of Technology, Dalian 116023, Liaoning, China |
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| Abstract: | Since the information of detonation product is transmitted outward in the form of compression wave during underwater explosion, the purpose of this paper is to explore how to determine the equation of state (EOS) of detonation products using underwater explosion tests. Compared with conventional cylinder test, underwater explosion test has the advantages of simpler equipment, lower cost, less limited charge size, and wider range of calibration pressures, which makes it more suitable for the on-site testing of large or non-ideal explosives. Based on the measurable shock wave trajectory and post-shock pressure history in general underwater explosion test, an inverse method of characteristics (inverse MOC) is proposed to recover the gas-water interface from the shock and post-shock data, and a genetic algorithm is developed to determine the EOS of detonation products by the gas-water interface. Compared with virtual experimental data extracted from underwater explosion simulations, it is found that the inverse MOC can properly reproduce the position and pressure of gas-water interface. The lower limit of pressure range is close to 2 MPa, which is far lower than that of 0.1 GPa in cylinder test. Based on the inversed results of gas-water interface, it is also confirmed that the genetic algorithm can also stably optimize the parameters of JWL equation because the isentrope pressure error of eight commonly used explosives is less than 3% in the range of detonation pressure 0.01 GPa. The results show that it is by the inverse MOC and genetic algorithm that the EOS of detonation products can be properly and stably determined by the underwater explosion test data. |
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| Keywords: | underwater explosion test inverse method of characteristics genetic algorithm gas-waterinterface inversion JWL parameters optimization |
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