Explosive field trial for repetitive testing of VBIEDs to probabilistically measure blast and fragmentation hazards

IF 2.1 Q2 ENGINEERING, CIVIL International Journal of Protective Structures Pub Date : 2024-02-13 DOI:10.1177/20414196241233757
Mark G. Stewart, M. Netherton, Hao Qin, Jun Li
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Abstract

This paper describes results from an explosive field trial of the detonation of Vehicle-Borne Improvised Explosive Devices (VBIEDs). The purpose of the trials is to replicate tests with identical car type and explosive mass to help probabilistically characterise the uncertainty and variability of blast pressures and fragment hazards. These variabilities may be considerable, and it is important to recognise that the world is not deterministic. The paper describes the spatial variability (directionality) of incident pressure, impulse and time of positive phase duration, and compares these to results from a bare charge, and the hemispherical surface burst Kingery and Bulmash polynomials often used for predicting blast loads from IEDs, such as ConWep. This also allows directional airblast factors to be quantified. The spatial distribution of over 26,000 fragments on the ground is also presented over the 250 m × 300 m test arena. The fragment densities and velocities obtained from the witness panels are also described, and preliminary fatality risks were estimated. These data may help develop or validate airblast and fragment hazard numerical or other models. Ultimately, probabilistic approaches will provide decision support for the determination of safety distance and risk reduction measures to prevent fatality and injury from blast pressure and fragmentation hazards.
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用于重复测试简易爆炸装置的爆炸物实地试验,以概率方式测量爆炸和破片危害
本文介绍了车载简易爆炸装置(VBIEDs)爆炸现场试验的结果。试验的目的是用相同的汽车类型和爆炸物质量进行重复试验,以帮助从概率上确定爆炸压力和碎片危险的不确定性和可变性。这些变化可能相当大,重要的是要认识到世界并不是确定的。本文描述了入射压力、冲量和正相位持续时间的空间变异性(方向性),并将其与裸装药的结果以及通常用于预测简易爆炸装置(如 ConWep)爆炸载荷的半球形表面爆破 Kingery 和 Bulmash 多项式进行了比较。这样还可以量化定向气爆系数。在 250 米×300 米的测试场上,还显示了地面上 26,000 多个碎片的空间分布情况。此外,还介绍了从见证板上获得的碎片密度和速度,并对死亡风险进行了初步估算。这些数据可能有助于开发或验证气爆和碎片危害数值模型或其他模型。最终,概率方法将为确定安全距离和降低风险措施提供决策支持,以防止爆炸压力和碎片危害造成伤亡。
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来源期刊
CiteScore
4.30
自引率
25.00%
发文量
48
期刊最新文献
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