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.

中文翻译：

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提取有关加载岩石应力和裂纹演变的关键红外辐射温度特征


岩石应力和裂纹演化的红外辐射温度 （IRT） 变化是岩石力学领域和工程灾害预警的关键焦点。本文提出了一种提取与加载岩石应力和裂纹演变相关的关键 IRT 特征的方法。具体来说，采用热像序列中的小波去噪和重建 （WDRTIS） 方法消除热像序列中的时间噪声。随后，引入自适应分区温度漂移校正 （APTDC） 方法来减轻温度漂移。在此基础上，提出了一种基于阈值分割和自适应中值滤波的空间噪声校正方法（OTSU-AMF），以提取与加载岩石微裂纹相关的关键IRT特征。在温度漂移校正之后，IRT 提供了岩石热弹性因子的估计值，砂岩的热弹性因子通常约为 5.29×10−5 MPa−1。结果表明，裂纹演化累积热像 （TICE） 中的高温集中区可以阐明局部损伤的时空演变。此外，从 TICE 获得的裂纹演变散热 （HDCE） 量化了岩石的渐进破坏过程。所提出的方法提高了 IRT 监测结果的可靠性，并为进行岩石力学研究和监测工程灾害提供了一种创新方法。