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Świtała, Barbara; Enrico Soranzo; Carlotta Guardiani, 2024, "Machine learning-aided reliability analysis of rainfall-induced landslide of root-reinforced slopes", https://doi.org/10.18150/2RLKQM, RepOD, V1
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Files contain information necessary to run the set of finite element simulations, which enable assessment of the moment of an initiation of a rainfall-induced landslide. Various sets of parameters have been tested, assuming either normal or uniform distribution of root strength parameters. These sets are listed in the files named: Parameters_sets_normal_distribution.csv and Parameters_sets_normal_distribution.csv. The results for subsequent sets are provided in files Results_roots_normal_distribution.csv and Results_roots_normal_distribution.csv, in a form of displacement of one of the nodes, corresponding to different rainfall durations.
Two other files contain input files necessary to run the finite element simulations of rainfall induced instability. The finite element discretization of the model is provided, along with initial and boundary conditions. Different rainfall durations are considered.
constitutive modelling, machin learning, rainfall, reliability analysis, slope stability, unsaturated soils, vegetated slopes
Barbara Maria Świtała, Carlotta Guardiani, Enrico Soranzo, and Wei Wu. 2023. Machine learning-aided reliability analysis of rainfall-induced landslide of root-reinforced slopes. Canadian Geotechnical Journal. 60(12): 1877-1894. https://doi.org/10.1139/cgj-2022-0696 https://doi.org/10.1139/cgj-2022-0696 doi: 10.1139/cgj-2022-0696
CC0 Creative Commons Zero 1.0
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