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Sensitivities of input parameters for predicting stability of soil slope

机译:输入参数对土质边坡稳定性预测的敏感性

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The infinite slope stability model is the basis for predicting the slope stability; however, the fundamental theory requires various input parameters. The objective of this study is to suggest a reasonable method for assuming input parameters in difficult measurement areas. The referred values are used to perform the sensitivity analysis, which found the influence degree of each parameter on the output result. Both slope angle and soil depth are shown to be highly affected parameters in the infinite slope stability model. To gather the real values of the slope angle, soil depth, and water table height, field tests are carried out and the remaining values are estimated from laboratory test results. The geostatistical method is applied to predict the distribution of input parameters over the entire study area based on the measured data, and the safety factor in the objective area is calculated. To observe fluctuations in the safety factor, the input parameter values are changed to single values representing the average, maximum, and minimum measured values. Then the contour map, histogram, and error ratios are established using the deduced safety factors. This study suggests considerations needed to determine the input parameters and a reasonable method when assuming factors.
机译:无限边坡稳定性模型是预测边坡稳定性的基础。但是,基本理论要求各种输入参数。这项研究的目的是提出一种在困难的测量区域中假设输入参数的合理方法。参考值用于执行灵敏度分析,从而确定每个参数对输出结果的影响程度。在无限的边坡稳定性模型中,边坡角度和土壤深度均显示为高度受影响的参数。为了收集倾斜角,土壤深度和地下水位高度的真实值,进行了现场测试,并从实验室测试结果中估算出剩余值。应用地统计方法,基于实测数据,预测整个研究区域的输入参数分布,并计算出目标区域的安全系数。为了观察安全系数的波动,将输入参数值更改为代表平均值,最大值和最小值的单个值。然后,使用推导的安全系数建立轮廓图,直方图和错误率。这项研究提出了在确定因素时确定输入参数所需的考虑因素和合理的方法。

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