Extraction of the key infrared radiation temperature features concerning stress and crack evolution of loaded rocks
The infrared radiation temperature (IRT) variation concerning stress and crack evolution of rocks is a critical 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 propo...
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| Format: | Article |
| Language: | English |
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Elsevier
2024-08-01
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| Series: | International Journal of Mining Science and Technology |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2095268624001113 |
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| author | Wei Liu Liqiang Ma Michel Jaboyedoff Marc-Henri Derron Qiangqiang Gao Fengchang Bu Hai Sun |
| author_facet | Wei Liu Liqiang Ma Michel Jaboyedoff Marc-Henri Derron Qiangqiang Gao Fengchang Bu Hai Sun |
| author_sort | Wei Liu |
| collection | DOAJ |
| description | The infrared radiation temperature (IRT) variation concerning stress and crack evolution of rocks is a critical 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 5.29×10−5 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 quantifies 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. |
| format | Article |
| id | doaj-art-1ff7d92271714ab38b87faf89a3370a7 |
| institution | OA Journals |
| issn | 2095-2686 |
| language | English |
| publishDate | 2024-08-01 |
| publisher | Elsevier |
| record_format | Article |
| series | International Journal of Mining Science and Technology |
| spelling | doaj-art-1ff7d92271714ab38b87faf89a3370a72025-08-20T02:17:39ZengElsevierInternational Journal of Mining Science and Technology2095-26862024-08-013481059108110.1016/j.ijmst.2024.08.003Extraction of the key infrared radiation temperature features concerning stress and crack evolution of loaded rocksWei Liu0Liqiang Ma1Michel Jaboyedoff2Marc-Henri Derron3Qiangqiang Gao4Fengchang Bu5Hai Sun6Key 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 Lausanne, Lausanne 1015, SwitzerlandKey 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; Corresponding author.Institute of Earth Sciences, University of Lausanne, Lausanne 1015, SwitzerlandInstitute of Earth Sciences, University of Lausanne, Lausanne 1015, SwitzerlandSchool of Mines, China University of Mining & Technology, Xuzhou 221116, ChinaInstitute of Earth Sciences, University of Lausanne, Lausanne 1015, SwitzerlandSchool of Civil Engineering, Liaoning Petrochemical University, Fushun 113001, ChinaThe infrared radiation temperature (IRT) variation concerning stress and crack evolution of rocks is a critical 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 5.29×10−5 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 quantifies 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.http://www.sciencedirect.com/science/article/pii/S2095268624001113Infrared radiation (IR)Temperature driftSpatial background noiseRock fractureAverage infrared radiation temperature (AIRT)Heat dissipation of crack evolution (HDCE) |
| spellingShingle | Wei Liu Liqiang Ma Michel Jaboyedoff Marc-Henri Derron Qiangqiang Gao Fengchang Bu Hai Sun Extraction of the key infrared radiation temperature features concerning stress and crack evolution of loaded rocks International Journal of Mining Science and Technology Infrared radiation (IR) Temperature drift Spatial background noise Rock fracture Average infrared radiation temperature (AIRT) Heat dissipation of crack evolution (HDCE) |
| title | Extraction of the key infrared radiation temperature features concerning stress and crack evolution of loaded rocks |
| title_full | Extraction of the key infrared radiation temperature features concerning stress and crack evolution of loaded rocks |
| title_fullStr | Extraction of the key infrared radiation temperature features concerning stress and crack evolution of loaded rocks |
| title_full_unstemmed | Extraction of the key infrared radiation temperature features concerning stress and crack evolution of loaded rocks |
| title_short | Extraction of the key infrared radiation temperature features concerning stress and crack evolution of loaded rocks |
| title_sort | extraction of the key infrared radiation temperature features concerning stress and crack evolution of loaded rocks |
| topic | Infrared radiation (IR) Temperature drift Spatial background noise Rock fracture Average infrared radiation temperature (AIRT) Heat dissipation of crack evolution (HDCE) |
| url | http://www.sciencedirect.com/science/article/pii/S2095268624001113 |
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