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Prediction of an early failure point using infrared radiation characteristics and energy evolution for sandstone with different water contents

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Abstract

Water is one of the most effective agents that weaken the physio-mechanical properties of rock, trigger significant construction delays, endanger the construction operation, and lead to rock failure. Therefore, an early failure point (EFP) prediction of rock under such conditions is imperative for the robust and reliable implementation of underground engineering. In this research, an EFP of sandstone with different water contents was predicted based on infrared radiation and complex energy evolution during loading. The ratios of elastic to dissipation energy (KED) and elastic to total energy (KET) were proposed to predict EFP. The results show that KED and KET give EFP at the same time for sandstone with water contents 0%, 0.991%, 2.136%, and 3.109%, and the average time of EFP ahead 208 s, 250 s, 265.8 s, and 276.9 s than rock failure, respectively. Furthermore, the proposed KED and KET were predicted using an artificial neural network (ANN). The ANN models’ efficacy was evaluated using the performance coefficient (R2) and root-means-square error (RMSE). The findings revealed high R2 and low RMSE for KED and KET of sandstone with different water contents. The research findings can be used effectively to monitor disasters for the safe and efficient execution of engineering projects.

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Acknowledgements

We thank the anonymous reviewers for reviewing the manuscript and providing comments to improve the manuscript.

Funding

This paper was supported by the National Key Basic Research Program of China (97 Program), the National Natural Science Foundation of China (51874280), and the Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD).

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Authors and Affiliations

  1. State Key Laboratory of Coal Resources and Mine Safety, China University of Mining and Technology, Xuzhou, 221116, Jiangsu, China

    Naseer Muhammad Khan, Liqiang Ma, Kewang Cao, Wei Liu & Yujun Xu

  2. Department of Mining Engineering, Balochistan University of Information Technology Engineering and Management Sciences, Quetta, Pakistan

    Naseer Muhammad Khan

  3. Key Laboratory of Mine Geological Hazards Mechanism and Control, Xi’an, 710054, Shaanxi, China

    Liqiang Ma

  4. State Key Laboratory for Geomechanics and Deep Underground Engineering, China University of Mining and Technology, Xuzhou, 221116, Jiangsu, China

    Kewang Cao

  5. Department of Mining Engineering, University of Engineering & Technology, Peshawar, Pakistan

    Sajjad Hussain

  6. State Key Laboratory of Mining Response and Disaster Prevention and Control in Deep Coal Mines, Anhui University of Science and Technology, Huainan, 232000, Anhui, China

    Qiupeng Yuan

  7. China Construction Fifth Engineering Bureau Co., Ltd, Changsha, 410000, Hunan, China

    Jie Gu

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  1. Naseer Muhammad Khan
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Khan, N.M., Ma, L., Cao, K. et al. Prediction of an early failure point using infrared radiation characteristics and energy evolution for sandstone with different water contents. Bull Eng Geol Environ 80, 6913–6936 (2021). https://doi.org/10.1007/s10064-021-02345-9

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