Study on sound wave kinematic characteristics and temperature sensing mechanism during the warming process of loose coals

Kong, Biao; Zhong, Jianhui; Wei, Jianping; Lu, Wei; Sun, Xiaolei; Yang, Gongfan; Zhao, Xushuai; Ma, Lu

doi:10.1016/j.energy.2024.132753

Energy

2024

DOI: 10.1016/j.energy.2024.132753

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Study on sound wave kinematic characteristics and temperature sensing mechanism during the warming process of loose coals

Biao Kong,

Jianhui Zhong,

Jianping Wei

et al.

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Cited by 2 publications

References 34 publications

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Advances in Detection and Monitoring of Coal Spontaneous Combustion: Techniques, Challenges, and Future Directions

Anghelescu,

Diaconu

2024

Fire

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Coal spontaneous combustion (CSC) is a multifaceted research domain that has been widely explored in the literature, ranging from analytical and numerical modeling to the development of fire suppression materials and methods. A comprehensive review of the literature has revealed several distinct research trajectories, or “roadmaps”, identified through criteria such as the volume of studies addressing each theme, the presence of review papers dedicated to a specific roadmap, and the explicit mention of coal spontaneous combustion in the title or keywords. This classification framework has outlined six primary roadmaps: (1) spread, quantification, and impact; (2) mechanisms, models, factors, and parameters; (3) experimental studies and models; (4) detection, monitoring, and prediction; (5) prevention and control; and (6) applications. While interconnections exist between these roadmaps, and all ultimately converge towards roadmap 5 (prevention and control), each roadmap constitutes a distinct research cluster. The focus of this review is on roadmap 4, specifically addressing the methods and technologies for detection, monitoring, and prediction of CSC events. This review encompasses studies published from 2010 to the present, providing a thorough examination of the various detection techniques employed, with particular emphasis on their limitations and the strategies proposed to overcome these challenges. A critical analysis highlights the key advantages and disadvantages of each category of techniques, offering insights into their practical applications and the potential for future advancements in this field. The present review aims to contribute to the refinement of detection and monitoring methods for CSC, with the goal of enhancing early detection capabilities and improving fire management strategies.

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Advances in Detection and Monitoring of Coal Spontaneous Combustion: Techniques, Challenges, and Future Directions

Anghelescu,

Diaconu

2024

Fire

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Experimental Study on the Stress Sensitivity Characteristics of Wave Velocities and Anisotropy in Coal-Bearing Reservoir Rocks

Zhang,

Xu,

Jian

et al. 2024

Processes

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As the effective stress in coal-bearing reservoirs changes, the elastic wave velocities, stress sensitivity, and anisotropic characteristics of coal rocks exhibit certain variations. Therefore, this study selected samples from the same area (sandstone, mudstone, and anthracite) and conducted experiments on their transverse wave velocities (Vs) and longitudinal wave velocities (Vp) and wave velocity ratios in three directions (one perpendicular and two parallel to the layering), using the RTR-2000 testing system under loading pressure conditions. The results indicate that the longitudinal and transverse wave velocities of the coal rock samples show a phase-wise increase with rising pressure. The wave velocities and wave velocity ratios of sandstone, mudstone, and anthracite demonstrate certain anisotropic characteristics, with an overall trend of decreasing anisotropy strength that stabilizes over time. The anisotropic characteristics of the longitudinal wave velocities in sandstone and mudstone are stronger than those of the transverse wave velocities, whereas in anthracite, the anisotropic characteristics of the transverse wave velocities are stronger than those of the longitudinal wave velocities. Thus, it can be concluded that Vp is a sensitive parameter for detecting the anisotropic characteristics of sandstone and mudstone, while Vs serves as a sensitive parameter for detecting the anisotropic characteristics of anthracite.

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Study on sound wave kinematic characteristics and temperature sensing mechanism during the warming process of loose coals

Cited by 2 publications

References 34 publications

Advances in Detection and Monitoring of Coal Spontaneous Combustion: Techniques, Challenges, and Future Directions

Advances in Detection and Monitoring of Coal Spontaneous Combustion: Techniques, Challenges, and Future Directions

Experimental Study on the Stress Sensitivity Characteristics of Wave Velocities and Anisotropy in Coal-Bearing Reservoir Rocks

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