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Experimental evaluation of failure characteristics of coal using 2D digital image correlation approach

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Abstract

Efficient execution of the underground coal extraction depends on the accuracy of deformation measurement of the pillars. The basic design information as stress-strain behavior is collected from the laboratory investigation. Contact-based deformation measurement approaches have limitations like data insufficiency, proneness to signal loss, physical damage, etc. In this investigation, a contactless technique like digital image correlation (DIC) has been evaluated for its applicability on coal specimen. Coal specimens from 100-m depth have been investigated for their stress-strain behavior through DIC as well as other conventional methods, i.e., strain gauge and linear variable differential transformer (LVDT). The deformation was found out from a set of images recorded and analyzed using the software StrainMaster. In the image analysis, the optimum subset size was found to be 99 × 99 pixels with a step size of 8 pixels. The average threshold stress levels of crack initiation and crack damage in uniaxial compression were observed to be 43.72% and 63.6%, respectively. DIC exhibits higher sensitivity to deformation of coal as compared to that by LVDT and strain gauges and proven to be a promising and dependable technique for coal pillar analysis.

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Acknowledgements

The authors sincerely appreciate with gratefulness the help and guidance received from Dr. S. Siva Prasad in our experimentation. He is working as Scientist EII in CSIR-NML, Jamshedpur.

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Correspondence to Nutan Shukla.

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Responsible Editor: Murat Karakus

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Shukla, N., Mishra, M.K. Experimental evaluation of failure characteristics of coal using 2D digital image correlation approach. Arab J Geosci 13, 1060 (2020). https://doi.org/10.1007/s12517-020-06044-9

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  • DOI: https://doi.org/10.1007/s12517-020-06044-9

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