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首页> 外文期刊>Current Science: A Fortnightly Journal of Research >A prediction model for mining subsidence in loess-covered mountainous areas of western China
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A prediction model for mining subsidence in loess-covered mountainous areas of western China

机译:中国西部黄土覆盖山区采矿沉降预测模型

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摘要

Land subsidence in the loess-covered mountainous area is a complex process that contemporary models could not accurately simulate. We assumed that flat-ground mining subsidence was the result of joint action of bedrock mining subsidence under equivalent load of the loess layer and the spread of bedrock surface subsidence to land surface via thick loess layers. Quantitative relationships between equivalent load of the loess layer and equivalent exploitation width, depth, and bedrock subsidence were examined. A double-medium model of flat-ground mining subsidence based on stochastic medium theory was developed to simulate the interactions between loess layers and bedrock. Another model was established to describe the slip deformation associated with loess in hill side mining. The two models were integrated to account for mining subsidence on flat ground and hillside. The integrated model was demonstrated to be robust in land subsidence deformation prediction for loess-covered mountainous area based on field measurements from a mining area in western China.
机译:黄土覆盖的山区土地沉降是一种复杂的过程,即当代模型无法准确模拟。我们认为,平地矿业沉降是基于黄土层的等同负荷和基岩表面沉降到陆地层的相同负荷下的基岩矿井沉降沉降的结果。检查了黄土层等同载荷与等效开采宽度,深度和基岩沉降之间的定量关系。开发了一种基于随机介质理论的平面矿井沉降的双级模型,模拟黄土层与基岩之间的相互作用。建立了另一种模型,以描述与山侧采矿中黄土相关的滑动变形。这两种型号被整合到矿业沉降,平面地面和山坡。基于中国西部采矿区的场地测量,综合模型对黄土覆盖的山区地区的土地沉降变形预测变得稳健。

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