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首页> 外文期刊>International Journal for Numerical Methods in Engineering >Automatic crack tip detection and stress intensity factors estimation of curved cracks from digital images
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Automatic crack tip detection and stress intensity factors estimation of curved cracks from digital images

机译:通过数字图像自动检测弯曲尖端的裂纹尖端和应力强度因子

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摘要

With the development of full-field measurement techniques, it has been possible to analyze crack propagation experimentally with an increasing level of robustness. However, the analysis of curved cracks is made difficult and almost unexplored because the possible analysis domain size decreases with crack curvature, leading to an increasing uncertainty level. This paper proposes a digital image correlation technique, augmented by an elastic regularization, combining finite element kinematics on an adapted mesh and a truncated Williams' expansion. Through the analysis of two examples, the proposed technique is shown to be able to address the experimental problems of crack tip detection and stress intensity factors estimation along a curved crack path. Copyright (c) 2015John Wiley & Sons, Ltd.
机译:随着全场测量技术的发展,已经有可能以更高的鲁棒性水平通过实验分析裂纹扩展。但是,由于可能的分析区域尺寸随裂纹曲率而减小,导致弯曲裂纹的分析变得困难且几乎无法进行探索,从而导致不确定性级别增加。本文提出了一种数字图像相关技术,该技术通过弹性正则化加以增强,将自适应网格上的有限元运动学与截短的Williams展开相结合。通过对两个实例的分析,表明所提出的技术能够解决沿弯曲裂纹路径的裂纹尖端检测和应力强度因子估计的实验问题。版权所有(c)2015 John Wiley&Sons,Ltd.

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