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Evaluation of Land Subsidence Based on Distributed Monitoring and SEM Analysis

机译:基于分布式监测和SEM分析的地面沉降评价

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A better understanding on the relationship between macro compression behavior and microstructure of soil is essential in order to evaluate the trend of land subsidence. In this paper, distributed fiber optic sensing (DFOS) technology was applied in a borehole located in Guangming Village, Wuxi, China, to obtain the deformation of soil layers after the prohibition of deep groundwater withdrawal in this area. DFOS provided detailed information on the movement of soil layer within any depth range. The microstructure of undisturbed soil samples from the borehole was analyzed using SEM images. With the application of Particle/Pore and Crack Analysis System (PCAS), the micro porosity of samples were characterized by two statistical parameters called area probability distribution index and fractal dimension. Area probability distribution index described the distributions of micro-porosities and fractal dimension described the shape of pores in nature regardless of complexity. Good correlations between the deformation of soil layers and the two parameters about the microstructure characteristics were illustrated.
机译:为了评估地面沉降趋势,必须更好地了解宏观压缩行为与土壤微观结构之间的关系。本文将分布式光纤传感(DFOS)技术应用于中国无锡光明村的一个钻孔中,以在禁止该地区深层地下水抽取后获得土壤层的变形。 DFOS提供了有关任何深度范围内土层运动的详细信息。使用SEM图像分析了钻孔中未受扰动的土壤样品的微观结构。通过使用颗粒/孔和裂纹分析系统(PCAS),通过两个统计参数,面积概率分布指数和分形维数,表征了样品的微孔率。面积概率分布指数描述了微孔的分布,而分形维数则描述了自然界中孔隙的形状,而与复杂性无关。说明了土层变形与两个有关微观结构特征的参数之间的良好相关性。

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