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The application of fuzzy recognition model in silt liquefaction distinguish

机译:模糊识别模型在淤泥液化区分中的应用

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Silt has the same liquefaction mechanism, but the soil characteristics of the silt soil, especially the partical sizes and the physical and chemistry properties of the pore water are significantly different, thus affect silt soil have some different factors of liquefaction resistance with sand. Based on the fundamental and measure of fuzzy mathematics, the factors which influence silt's liquefaction were analysized, thus mean diameter, plastic index, SPT blow count and effective overburden pressure were selected as factors which construct the fuzzy pattern recognition. The results indicates that this evaluation method is a useful tool in objectively evaluating and predicting liquefaction potential of silt.
机译:淤泥具有相同的液化机制,但淤泥土壤的土壤特性,尤其是孔隙水的局部尺寸和物理和化学性质有显着差异,因此影响淤泥土壤具有一些不同因素的液化抗性因素。 基于模糊数学的基础和衡量标准,分析了影响淤泥液化的因素,从而选择平均直径,塑料指数,SPT吹数和有效的覆盖压力作为构建模糊模式识别的因素。 结果表明,该评估方法是客观评估和预测淤泥液化电位的有用工具。

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