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Deformation measurement around a high strain-gradient region using a digital image correlation method

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Abstract

Digital image correlation could provide deformation information of a specimen by processing two digital images captured before and after the deformation. In this study, a hybrid genetic algorithm, in which a simulated annealing mutation process and adaptive mechanisms are added to a real-parameter genetic algorithm, is used to search for the deformed images to obtain both the strain and displacement data simultaneously. This method is applied to obtain the strain in a high strain-gradient region around a hole in a plate under uniaxial tensile testing. These data are compared with those obtained by using a strain gauge to judge the quality of the obtained strain data. The result indicates that the strain in a high strain-gradient region could be reasonably determined by using the present method.

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Authors and Affiliations

  1. Department of Mechanical Engineering, National Yunlin University of Science and Technology, Yunlin, 64002, Taiwan

    Shun-Fa Hwang & Wei-Jie Wu

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  1. Shun-Fa Hwang
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  2. Wei-Jie Wu
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Correspondence to Shun-Fa Hwang.

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Recommended by Associate Editor Seong Beom Lee

Shun-Fa Hwang received his Ph.D in mechanical engineering at the Univeristy of California in Los Angeles, USA in 1992. He then joined the faculty of the Mechanical Engineering Department at National Yunlin University of Science and Technology in Taiwan. He was promoted to full professor in 2001. His current interests include the design of composite structures, digital image correlation, and vibration and sound.

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Hwang, SF., Wu, WJ. Deformation measurement around a high strain-gradient region using a digital image correlation method. J Mech Sci Technol 26, 3169–3175 (2012). https://doi.org/10.1007/s12206-012-0831-7

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  • DOI: https://doi.org/10.1007/s12206-012-0831-7

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