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Bulletin of Engineering Geology and the Environment

Erschienen in:

01.08.2024 | Original Paper

Stability and reliability analysis of rock slope based on parameter conditioned random field

verfasst von: Kejing Chen, Qinghui Jiang

Erschienen in: Bulletin of Engineering Geology and the Environment | Ausgabe 8/2024

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Abstract

Systematic evaluation of the geotechnical parameters of rock slopes facilitates predicting the risk level of slope excavation processes and reliability analysis of geotechnical engineering. The distribution of geomechanical parameters of rock slopes is complex, and accurately determining the value and spatial distribution of rock mass parameters is crucial for predicting slope stability. The field-measured data is adopted to determine conditioned random fields based on the Kriging method to speculate the distribution of slope shear strength parameters. The uncertainties in shear strength parameters (friction angle and cohesion) are considered, and parameter random fields are established. The reliability analysis of the rock slope is accomplished by the multivariate adaptive regression splines method. The validity of the process is verified by taking the left bank excavation slope of Jinping I (JP-1 for short) hydropower station as an instance, and the influence of the fluctuation scale on the slope stability analysis is explored. The results show that the approach can efficaciously determine the parameter distribution, establish the parameter random fields, and evaluate the slope reliability. The failure probability of slope increases with the increase of the fluctuation scale.

Vorheriger Artikel Dynamic evolution of three-dimensional cracks in expansive soil under wet-dry cycles: insights from resistivity monitoring

Nächster Artikel Global sensitivity analysis for evaluation of water level fluctuation of anchored and non-anchored slope on reservoir bank

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Titel: Stability and reliability analysis of rock slope based on parameter conditioned random field
verfasst von: Kejing Chen
Qinghui Jiang
Publikationsdatum: 01.08.2024
Verlag: Springer Berlin Heidelberg
Erschienen in: Bulletin of Engineering Geology and the Environment / Ausgabe 8/2024
Print ISSN: 1435-9529
Elektronische ISSN: 1435-9537
DOI: https://doi.org/10.1007/s10064-024-03799-3

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