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Permafrost geotechnical index property variation and its effect on thermal conductivity calculations

机译:多年冻土岩土力学指标特性变化及其对导热系数计算的影响

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Geotechnical borehole and sample data from three databases compiled by the Geological Survey of Canada were analyzed to determine the variability of geotechnical index properties within frozen soils. The analysis included 2662 boreholes with geological setting data, up to 60 m depth, within the Mackenzie Valley and Delta region of the Northwest Territories. A total of 7539 samples, each with soil and ice classifications and gravimetric moisture content data were included. Gravimetric and volumetric moisture contents were analyzed by general soil type to determine their coefficient of variation (COV) with depth and geologic setting. As expected, variability between geologic settings corresponded to the nature of the soil's depositional environment, and volumetric ice content variability decreased with increasing depth. General soil type was also used to determine the COV for dry density, specific gravity, and Atterberg limits for samples where testing was available. The variability of frozen thermal conductivities was estimated using Monte Carlo simulation and common equations from the literature based on the geotechnical index property variation. Recently-derived equations for thermal conductivity showed less variability compared to earlier methods.
机译:分析了加拿大地质调查局汇编的三个数据库的岩土钻孔和样本数据,以确定冻土中岩土指数特性的变异性。分析包括在西北地区的麦肯齐山谷和三角洲地区的2662个钻孔,其中有地质设置数据,深度达60 m。总共包括7539个样本,每个样本都具有土壤和冰的分类以及重量水分含量数据。通过一般土壤类型分析重量和体积含水量,以确定其随深度和地质环境的变化系数(COV)。正如预期的那样,地质环境之间的变异性对应于土壤沉积环境的性质,并且体积冰含量的变异性随深度的增加而减小。一般土壤类型也可用于确定可进行测试的样品的干密度,比重和阿特堡限值的COV。冻结热导率的变异性是使用Monte Carlo模拟和基于岩土力学指标特性变化的文献常​​用方程估算的。与以前的方法相比,最新得出的热导率方程式显示出较小的可变性。

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