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Numerical simulation of the natural fragmentation of explosively loaded thick walled cylinders

机译:爆炸载荷下厚壁圆筒自然破碎的数值模拟

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摘要

The ability to predict the natural fragmentation of an explosively loaded metal casing would represent a significant achievement. Physically-based material models permit the use of small scale laboratory tests to characterise and validate their parameters. The model can then be directly employed to understand and design the system of interest and identify the experiments required for validation of the predictions across a wide area of the performance space. This is fundamentally different to the use of phenomenologically based material algorithms which require a much wider range of characterisation and validation tests to be able to predict a reduced area of the performance space. Eulerians numerical simulation methods are used to describe the fragmentation of thick walled EN24 steel cylinders filled with PBXN-109 explosive. The methodology to characterise the constitutive response of the material using the physically based ArmstrongeZerilli constitutive model and the Goldthorpe path dependent fracture model is described, and the results are presented. The ability of an Eulerian hydrocode to describe the fragmentation process and reproduce the experimentally observed fragment mass and velocity distributions is presented and discussed. Finally the suitability of the current experimental analysis methodology for simulation validation is addressed.
机译:预测爆炸性装载金属壳的自然碎片的能力将代表显着的成就。基于物理的材料模型允许使用小规模实验室测试来表征和验证其参数。然后,该模型可以直接用于理解和设计感兴趣的系统,并确定验证性能空间广域广域的预测所需的实验。这与使用现象学的材料算法基本不同,这些材料算法需要更广泛的表征和验证测试能够预测性能空间的减少区域。欧拉人的数值模拟方法用于描述填充有PBXN-109爆炸性的厚壁EN24钢瓶的碎片。描述了使用物理基础的armstrongezerili型模型和Goldthorpe路径依赖性裂缝模型表征材料的本构末响应的方法,并提出了结果。举出并讨论了欧拉机器的能力来描述碎片过程和再现实验观察到的片段质量和速度分布。最后,解决了当前实验分析方法的适用性进行仿真验证。

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  • 来源
    《兵工学报(英文版)》 |2014年第2期|198-210|共13页
  • 作者单位

    QinetiQ, Fort Halstead, Sevenoaks, TN14 7BP Kent, UK;

    Raytheon UK, The Pinnacles, Harlow, CM19 5BB Essex, UK;

    QinetiQ, Fort Halstead, Sevenoaks, TN14 7BP Kent, UK;

    QinetiQ, Fort Halstead, Sevenoaks, TN14 7BP Kent, UK;

    QinetiQ, Fort Halstead, Sevenoaks, TN14 7BP Kent, UK;

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  • 入库时间 2022-08-19 03:35:07
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