Effective Random Analysis of Soil Subgrade Slopes Based on Reliability Index
The characteristics of the spatially distribution of soil strength are directly related to the stability of subgrade slopes.A new method of the XGBoost model is provided as a surrogate model for the random field-finite element(RF-FEM)model to effectively examine the impacts of various soil spatial variation levels on the reliability of subgrade slope.By using a small but sufficient number of random field samples for proper training,it can replace random field-finite element analysis with strict and stringent calculation costs.The results show that the proposed framework can obtain the failure probability of the subgrade slope accurately and efficiently.The failure probability error between the proposed XGBoost surrogate model and the RF-FEM of direct Monte Carlo simulation are controlled within 7％,but the calculation cost is significantly reduced.Furthermore,the different variation levels of soil shear strength parameters have a significant impact on the failure probability of subgrade slope in the reliability analysis,and the spatial variability of soil parameter variation levels cannot be ignored.
subgrade slopereliability analysisprobability of failureXGBoostsurrogate model
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