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Accuracy-enhanced constitutive parameter identification using virtual fields method and special stereo-digital image correlation

机译:利用虚拟场方法和特殊的立体数字图像相关性来提高本构参数的精度

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The virtual fields method (VFM) is generally used with two-dimensional digital image correlation (2D-DIC) or grid method (GM) for identifying constitutive parameters. However, when small out-of-plane translation/rotation occurs to the test specimen, 2D-DIC and GM are prone to yield inaccurate measurements, which further lessen the accuracy of the parameter identification using VFM. In this work, an easy-to-implement but effective "special" stereo-DM (SS-DIC) method is proposed for accuracy-enhanced VFM identification. The SS-DIC can not only deliver accurate deformation measurement without being affected by unavoidable out-of-plane movement/rotation of a test specimen, but can also ensure evenly distributed calculation data in space, which leads to simple data processing. Based on the accurate kinematics fields with evenly distributed measured points determined by SS-DIC method, constitutive parameters can be identified by VFM with enhanced accuracy. Uniaxial tensile tests of a perforated aluminum plate and pure shear tests of a prismatic aluminum specimen verified the effectiveness and accuracy of the proposed method. Experimental results show that the constitutive parameters identified by VFM using SS-DIC are more accurate and stable than those identified by VFM using 2D-DIC. It is suggested that the proposed SS-DIC can be used as a standard measuring tool for mechanical identification using VFM. (C) 2017 Elsevier Ltd. All rights reserved.
机译:虚拟场方法(VFM)通常与二维数字图像相关性(2D-DIC)或网格方法(GM)一起用于识别本构参数。但是,当试样发生小的平面外平移/旋转时,2D-DIC和GM倾向于产生不准确的测量结果,这进一步降低了使用VFM进行参数识别的准确性。在这项工作中,提出了一种易于实施但有效的“特殊”立体声DM(SS-DIC)方法,以提高准确性。 SS-DIC不仅可以进行准确的变形测量​​,而且不受不可避免的试样平面外运动/旋转的影响,而且还可以确保计算数据在空间中的分布均匀,从而简化了数据处理。基于由SS-DIC方法确定的具有均匀分布的测量点的精确运动场,可以通过VFM以更高的精度识别本构参数。多孔铝板的单轴拉伸试验和棱柱形铝试样的纯剪切试验证明了该方法的有效性和准确性。实验结果表明,通过VFM使用SS-DIC识别的本构参数比使用2D-DIC通过VFM识别的本构参数更为准确和稳定。建议将建议的SS-DIC用作使用VFM进行机械识别的标准测量工具。 (C)2017 Elsevier Ltd.保留所有权利。

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