Extraction of the key infrared radiation temperature features concerning stress and crack evolution of loaded rocks

Wei Liu ¹Liqiang Ma ²Michel Jaboyedoff ³Marc-Henri Derron ³Qiangqiang Gao ⁴Fengchang Bu ³Hai Sun⁵

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作者信息

1. Key Laboratory of Xinjiang Coal Resources Green Mining(Xinjiang Institute of Engineering),Ministry of Education,Urumqi 830023,China;Xinjiang Key Laboratory of Coal-bearing Resources Exploration and Exploitation,Xinjiang Institute of Engineering,Urumqi 830023,China;Xinjiang Engineering Research Center of Green Intelligent Coal Mining,Xinjiang Institute of Engineering,Urumqi 830023,China;School of Mines,China University of Mining & Technology,Xuzhou 221116,China;Institute of Earth Sciences,University of Lausa
2. Key Laboratory of Xinjiang Coal Resources Green Mining(Xinjiang Institute of Engineering),Ministry of Education,Urumqi 830023,China;Xinjiang Key Laboratory of Coal-bearing Resources Exploration and Exploitation,Xinjiang Institute of Engineering,Urumqi 830023,China;Xinjiang Engineering Research Center of Green Intelligent Coal Mining,Xinjiang Institute of Engineering,Urumqi 830023,China;School of Mines,China University of Mining & Technology,Xuzhou 221116,China
3. Institute of Earth Sciences,University of Lausanne,Lausanne 1015,Switzerland
4. School of Mines,China University of Mining & Technology,Xuzhou 221116,China
5. School of Civil Engineering,Liaoning Petrochemical University,Fushun 113001,China
折叠

Abstract

The infrared radiation temperature(IRT)variation concerning stress and crack evolution of rocks is a crit-ical focus in rock mechanics domain and engineering disaster warning.In this paper,a methodology to extract the key IRT features related to stress and crack evolution of loaded rocks is proposed.Specifically,the wavelet denoising and reconstruction in thermal image sequence(WDRTIS)method is employed to eliminate temporal noise in thermal image sequences.Subsequently,the adaptive partition temperature drift correction(APTDC)method is introduced to alleviate temperature drift.On this basis,the spatial noise correction method based on threshold segmentation and adaptive median filtering(OTSU-AMF)is proposed to extract the key IRT features associated with microcracks of loaded rocks.Following temperature drift correction,IRT provides an estimation of the thermoelastic factor in rocks,typically around 5.29x10 5 MPa 1 for sandstones.Results reveal that the high-temperature concentrated region in cumulative thermal images of crack evolution(TICE)can elucidate the spatiotemporal evolution of localized damage.Additionally,heat dissipation of crack evolution(HDCE)acquired from TICE quanti-fies the progressive failure process of rocks.The proposed methodology enhances the reliability of IRT monitoring results and provides an innovative approach for conducting research in rock mechanics and monitoring engineering disasters.

Key words

Infrared radiation(IR)/Temperature drift/Spatial background noise/Rock fracture/Average infrared radiation temperature(AIRT)/Heat dissipation of crack evolution(HDCE)

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基金项目

National Natural Science Foundation of China(51874280)

Fundamental Research Funds for the Central Universities(2021ZDPY0211)

Graduate Innovation Program of China University of Mining and Technology(2023WLKXJ046)

Postgraduate Research &Practice Innovation Program of Jiangsu Province(KYCX23_2811)

Project of Liaoning Provincial Department of Education(JYTMS20231458)

出版年

2024

矿业科学技术学报(英文版)

中国矿业大学

矿业科学技术学报(英文版)

CSTPCDCSCDEI

影响因子：1.222

ISSN：2095-2686

参考文献量33

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