地下采矿引起的覆盖层断裂和地面裂缝中的传热和温度演变:无人机红外监测的最佳时间窗口

IF 11.7 1区 工程技术 Q1 MINING & MINERAL PROCESSING
Yixin Zhao , Kangning Zhang , Bo Sun , Chunwei Ling , Jihong Guo
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引用次数: 0

摘要

覆盖层断裂和地裂缝中的传热和温度演变是通过无人机红外成像仪识别地裂缝的重要课题之一。本研究采用离散元软件 UDEC 对不同采矿条件下的覆岩裂缝场进行了研究。采用多物理场软件 COMSOL 研究了在采矿条件、裂缝深度、裂缝宽度和月份交替等因素影响下,覆盖层裂缝和地面裂缝的传热和温度变化情况。无人机红外现场测量也为数值模拟提供了校准。结果表明,对于与地下煤层相连的地面裂隙(I 号裂隙),开采高度越大、埋深越浅,温差越大。此外,位于采空区边界的 I 号裂隙温差更大,比位于采空区上方的裂隙更容易识别。对于与地下煤层无联系的地面裂隙(裂隙Ⅱ),当裂隙Ⅱ深度大于 10 米时,其传热受到上覆地层断裂内阻的影响,随着裂隙深度的增加,裂隙Ⅱ的温度逐渐与地面温度相等,裂隙难以识别。在相同深度下,大于 16 厘米的裂隙识别效果最为明显。在春夏季节,无人机红外识别矿山裂隙应在夜间进行。本研究为无人机红外识别不同类型矿山地表裂隙的最佳时间和季节提供了依据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Heat transfer and temperature evolution in underground mining-induced overburden fracture and ground fissures: Optimal time window of UAV infrared monitoring

Heat transfer and temperature evolution in overburden fracture and ground fissures are one of the essential topics for the identification of ground fissures via unmanned aerial vehicle (UAV) infrared imager. In this study, discrete element software UDEC was employed to investigate the overburden fracture field under different mining conditions. Multiphysics software COMSOL were employed to investigate heat transfer and temperature evolution of overburden fracture and ground fissures under the influence of mining condition, fissure depth, fissure width, and month alternation. The UAV infrared field measurements also provided a calibration for numerical simulation. The results showed that for ground fissures connected to underground goaf (Fissure I), the temperature difference increased with larger mining height and shallow buried depth. In addition, Fissure I located in the boundary of the goaf have a greater temperature difference and is easier to be identified than fissures located above the mining goaf. For ground fissures having no connection to underground goaf (Fissure II), the heat transfer is affected by the internal resistance of the overlying strata fracture when the depth of Fissure II is greater than 10 m, the temperature of Fissure II gradually equals to the ground temperature as the fissures’ depth increases, and the fissures are difficult to be identified. The identification effect is most obvious for fissures larger than 16 cm under the same depth. In spring and summer, UAV infrared identification of mining fissures should be carried out during nighttime. This study provides the basis for the optimal time and season for the UAV infrared identification of different types of mining ground fissures.

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来源期刊
International Journal of Mining Science and Technology
International Journal of Mining Science and Technology Earth and Planetary Sciences-Geotechnical Engineering and Engineering Geology
CiteScore
19.10
自引率
11.90%
发文量
2541
审稿时长
44 days
期刊介绍: The International Journal of Mining Science and Technology, founded in 1990 as the Journal of China University of Mining and Technology, is a monthly English-language journal. It publishes original research papers and high-quality reviews that explore the latest advancements in theories, methodologies, and applications within the realm of mining sciences and technologies. The journal serves as an international exchange forum for readers and authors worldwide involved in mining sciences and technologies. All papers undergo a peer-review process and meticulous editing by specialists and authorities, with the entire submission-to-publication process conducted electronically.
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