Abstract
Reliability analysis approach provides a rational means to quantitatively evaluate the safety of geotechnical structures from a probabilistic perspective. However, it suffers from a known criticism of extensive computational requirements and poor efficiency, which hinders its application in the reliability analysis of earth dam slope stability. Until now, the effects of spatially variable soil properties on the earth dam slope reliability remain unclear. This calls for a novel method to perform reliability analysis of earth dam slope stability accounting for the spatial variability of soil properties. This chapter develops an efficient extreme gradient boosting (XGBoost)-based reliability analysis approach for evaluating the earth dam slope failure probability. With the aid of the proposed approach, the failure probability of earth dam slope can be evaluated rationally and efficiently.
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Wengang, Z., Hanlong, L., Lin, W., **ng, Z., Yanmei, Z. (2023). Efficient Reliability Analysis of Slopes in Spatially Variable Soils Using XGBoost. In: Application of Machine Learning in Slope Stability Assessment. Springer, Singapore. https://doi.org/10.1007/978-981-99-2756-2_9
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