孔混凝土冲击响应的Holmquist-Johnson-Cook本构模型验证及试验研究

J. Collard, Jaclyn A. Lanham, B. Davis
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引用次数: 0

摘要

在Davis和Dequenne之前的一项研究中,根据美国陆军工程兵团工程师研究与发展中心(ERDC)和桑迪亚国家实验室(SNL)进行的现有直接拉伸、单轴应变和三轴剪切试验,开发了名义密度为1442 kg/m3的孔状混凝土的Holmquist-Johnson-Cook (HJC)本构模型。将得到的本构模型与Goodman在阿伯丁测试中心进行的侵彻深度测试结果进行了比较,结果令人鼓舞。本研究试图在先前工作的基础上,通过使用非变形弹丸对类似的蜂窝混凝土进行穿透深度和穿孔实验,以验证适合的HJC模型。侵彻深度实验通过在200-800 m/s的速度范围内对305 mm厚的面板进行射击,并记录每次实验的打击速度和侵彻深度。射孔实验在200-800 m/s范围内进行,靶板厚度分别为38 mm、76 mm和114 mm,并记录了每次实验的击速、残余速度和弹坑特征。每个实验都进行了二维数值模拟,并对结果进行了比较,以进行初始模型验证,但还需要进行额外的实验测试和模拟。实验结果和数值结果之间存在误差,应进行敏感性分析,以确定在哪些地方需要进行额外的测试,以改善模型与实验结果的相关性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Holmquist-Johnson-Cook Constitutive Model Validation and Experimental Study on the Impact Response of Cellular Concrete
In a previous study by Davis and Dequenne, a Holmquist-Johnson-Cook (HJC) constitutive model for a cellular concrete with a nominal density of 1442 kg/m3 was developed from existing direct tension, uniaxial strain, and triaxial shear testing conducted at the United States Army Corps of Engineers Engineer Research and Development Center (ERDC) and Sandia National Laboratory (SNL). The resulting constitutive model was compared to depth of penetration results from testing conducted by Goodman at the Aberdeen Test Center with promising results. This study seeks to build on this previous work by producing depth of penetration and perforation experiments using non-deforming projectiles into a similar cellular concrete for validation of the fit HJC model. Depth of penetration experiments were conducted by firing into a 305 mm thick panel over a velocity range of 200–800 m/s with the strike velocity and depth of penetration recorded for each experiment. Perforation experiments were conducted over a range of 200–800 m/s against panels with thicknesses of 38 mm, 76 mm, and 114 mm with the strike velocity, residual velocity, and crater characteristics recorded for each experiment. 2D numerical simulations were conducted for each experiment and the results were compared for initial model validation, but additional experimental testing and simulation is required. There is error between the experimental and numerical results and a sensitivity analysis should be conducted to determine where additional testing is appropriate to improve the model’s correlation with experimental results.
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