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花岗岩侵入时静态阻力的探讨

Discussion on Static Resistance of Granite under Penetration.

作者信息

Nie Xiaodong, Wu Xiangyun, Yi Zhi, Long Zhilin, Zhou Hui, Ji Nan

机构信息

School of Mechanical Engineering and Mechanics, Xiangtan University, Xiangtan 411105, China.

Institute of National Defense Engineering, Academy of Military Sciences, People's Liberation Army, Luoyang 471023, China.

出版信息

Materials (Basel). 2023 Apr 25;16(9):3353. doi: 10.3390/ma16093353.

Abstract

A total of 9 tests were carried out with 30 mm and 78 mm caliber scaled projectiles penetrating into granite targets. The penetration depth, crater diameter, and mass loss rate were examined and discussed. The results indicate that the dimensionless penetration depth of large-caliber projectiles is 20% greater than small-caliber projectiles. Based on the description of static resistance in the Forrestal semi-empirical formula, the size effect of dimensionless penetration depth can be attributed to the size effect of static resistance , and it can be seen that the penetration static resistance of projectile A is 40% higher than that of projectile B. Numerical simulations of projectile penetration into granite targets were conducted using the finite element program ANSYS/LS-DYNA. In terms of penetration depth and crater damage, the numerical simulation results agree well with the test data. This suggests that the selection of parameters was reasonable. The influence of compressive strength, projectile striking velocity, mass, diameter, and caliber-radius-head (CRH) ratio on the static resistance were studied by RHT model parameterization. Based on the numerical results from the parametric study, an empirical formula was derived to predict the static resistance .

摘要

使用30毫米和78毫米口径的缩比弹丸对花岗岩靶体进行了总共9次侵彻试验。对侵彻深度、弹坑直径和质量损失率进行了研究和讨论。结果表明,大口径弹丸的无量纲侵彻深度比小口径弹丸大20%。基于福雷斯特半经验公式中静阻力的描述,无量纲侵彻深度的尺寸效应可归因于静阻力的尺寸效应,并且可以看出弹丸A的侵彻静阻力比弹丸B高40%。使用有限元程序ANSYS/LS-DYNA对弹丸侵彻花岗岩靶体进行了数值模拟。在侵彻深度和弹坑损伤方面,数值模拟结果与试验数据吻合良好。这表明参数选择是合理的。通过RHT模型参数化研究了抗压强度、弹丸撞击速度、质量、直径和口径比头部(CRH)比对静阻力的影响。基于参数研究的数值结果,推导了一个预测静阻力的经验公式。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c4cf/10179759/1d66c3fbb2f1/materials-16-03353-g001.jpg

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