Application of a superposition model to evaluate surface asymmetric settlement in a mining area with thick bedrock and thin loose layer

Application of a superposition model to evaluate surface asymmetric settlement in a mining area with thick bedrock and thin loose layer
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DOI:
10.1016/j.jclepro.2021.128075
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发表时间:
2021-09
影响因子:
11.1
通讯作者:
Junbiao Ma;D. Yin;Ning Jiang;Sheng Wang;D. Yao
Junbiao Ma;D. Yin;Ning Jiang;Sheng Wang;D. Yao
中科院分区:
环境科学与生态学1区
文献类型:
--
作者:
Junbiao Ma;D. Yin;Ning Jiang;Sheng Wang;D. Yao

文献摘要

相似文献

Surface subsidence caused by underground mining is a complicated spatiotemporal process.本研究将基于岩石流变学理论和威布尔沉降法的两种模型相结合,建立了一种新型的煤层变采动厚度的采动沉降叠加模型。该模型较好地刻画了厚基岩、薄松散层地质条件下的地表沉降机理,预测结果与实测接近。 The bedrock and loose layer are considered viscoelastic beam and homogeneous body, respectively. The bedrock and loose layer are analysed using the theories of mechanical movement and mathematical models, respectively.根据华东某矿山实际地质条件,将力学参数代入威布尔复合沉降预测模型(WCSPM)和概率积分复合沉降预测模型(PICSPM)中,得到地表沉降运动参数的预测结果。 WCSPM的预测结果与实测地表沉降值更加接近,从而验证了理论模型在工程实践中的适用性。 This model enables the construction of structures in mining-induced subsidence areas with confidence.
Surface subsidence caused by underground mining is a complicated spatiotemporal process. This study establishes a novel mining subsidence superposition model using variable mining thickness of coal seam by combining two models based on rock rheology theory and the Weibull subsidence method. This model better characterises the surface subsidence mechanism under geological conditions of thick bedrock and thin loose layer, and the prediction results are close to actual measurements. The bedrock and loose layer are considered viscoelastic beam and homogeneous body, respectively. The bedrock and loose layer are analysed using the theories of mechanical movement and mathematical models, respectively. Based on actual geological conditions of a mine in East China, the mechanical parameters were substituted into the Weibull composite subsidence prediction model (WCSPM) and the probability integral composite subsidence prediction model (PICSPM), and the predictions of surface subsidence movement parameters were obtained. The prediction results of the WCSPM are closer to the measured surface subsidence values, thereby verifying the applicability of the theoretical model in engineering practice. This model enables the construction of structures in mining-induced subsidence areas with confidence.