A noninvasive approach for quantitative evaluation of geological deformations and dynamic disasters in complex mining environments

Majid Khan, Xueqiu He, Da-zhao Song
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Abstract

Summary The escalating demand for deep underground energy sources, driven by the depletion of shallow resources, has raised concerns about the occurrence of dynamic disasters, which pose significant societal risks. In the context of engineering excavation processes, the presence of pre-existing and excavation-induced fractures significantly influences the evolution of complex geological disasters associated with mining activities. Traditional approaches to disaster prediction rely heavily on physical models and numerical simulations. However, these methods often suffer from limitations such as time-consuming and uneconomical drilling tests, as well as restricted coverage. To overcome these challenges, this study introduces a novel methodology that enables comprehensive imaging of the geological response, deformation patterns, and dynamic disaster prediction within the entire minefield of underground engineering works with a special emphasis on steeply inclined and extremely thick coal seams (SIETCS).
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对复杂采矿环境中的地质变形和动态灾害进行定量评估的非侵入式方法
摘要 在浅层资源枯竭的推动下,对地下深层能源的需求不断攀升,这引发了人们对动态灾害发生的担忧,而动态灾害会带来巨大的社会风险。在工程挖掘过程中,原有裂缝和挖掘诱发裂缝的存在极大地影响着与采矿活动相关的复杂地质灾害的演变。传统的灾害预测方法在很大程度上依赖于物理模型和数值模拟。然而,这些方法往往存在局限性,如钻探试验耗时且不经济,以及覆盖范围有限。为了克服这些挑战,本研究引入了一种新方法,可对地下工程的整个采空区进行地质响应、变形模式和动态灾害预测的全面成像,尤其侧重于陡斜和极厚煤层(SIETCS)。
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