Bayesian back analysis of unsaturated hydraulic parameters for rainfall-induced slope failure: A review

HQ Yang, L Zhang - Earth-Science Reviews, 2024 - Elsevier
Rainfall-induced soil slope failures are among the most frequent and widespread landslides
in the world. The infiltration of water plays a critical role in the instability of slopes under …

The unsaturated seepage process and mechanism of internal interfaces in loess-filled slopes during intermittent rainfall

D Yu, Q Huang, X Kang, Y Liu, X Chen, Q Xie, Z Guo - Journal of Hydrology, 2023 - Elsevier
Abstract In the “Gully Land Reclamation” project conducted in Yan'an, China, shallow failure
in the middle of loess-filled slopes is caused by the unsaturated seepage of rainwater along …

[HTML][HTML] Spatial distribution modeling of subsurface bedrock using a developed automated intelligence deep learning procedure: A case study in Sweden

AA Shahri, C Shan, E Zäll, S Larsson - Journal of Rock Mechanics and …, 2021 - Elsevier
Due to associated uncertainties, modelling the spatial distribution of depth to bedrock (DTB)
is an important and challenging concern in many geo-engineering applications. The …

Adaptive Markov chain Monte Carlo algorithms for Bayesian inference: recent advances and comparative study

SS Jin, H Ju, HJ Jung - Structure and Infrastructure Engineering, 2019 - Taylor & Francis
Condition assessments of structures require prediction models such as empirical model and
numerical simulation model. Generally, these prediction models have model parameters to …

A general framework for coupled hydro-mechanical modelling of rainfall-induced instability in unsaturated slopes with multivariate random fields

MS Masoudian, MAH Afrapoli, A Tasalloti… - Computers and …, 2019 - Elsevier
An accurate estimation of rainfall-induced instability of slopes for extremely
nonhomogeneous materials such as lignite mine spoils is a major challenge. This paper …

Subsurface topographic modeling using geospatial and data driven algorithm

A Abbaszadeh Shahri, A Kheiri, A Hamzeh - ISPRS International Journal …, 2021 - mdpi.com
Infrastructures play an important role in urbanization and economic activities but are
vulnerable. Due to unavailability of accurate subsurface infrastructure maps, ensuring the …

Exploring extreme rainfall-triggered landslides using 3D unsaturated flow, antecedent moisture and spatially distributed soil depth

JC Marotti, GJC Gomes, RQ Velloso, EAV Júnior… - Catena, 2023 - Elsevier
The susceptibility to shallow landslides is affected by several factors. Rainfall intensity, soil
thickness distribution, and antecedent moisture conditions are components that influence …

Assessing the effectiveness of TRIGRS for predicting unstable areas in a tropical mountain basin (Colombian Andes)

RJ Marin, EF García, E Aristizábal - Geotechnical and Geological …, 2021 - Springer
Some physically based landslide models analyse pore water pressure changes due to
rainfall infiltration and its effects on slope stability. The physically-based model TRIGRS has …

Probabilistic analysis of highly nonlinear models by adaptive sparse polynomial chaos: Transient infiltration in unsaturated soil

HQ Yang, Y Yan, X Wei, Z Shen… - International Journal of …, 2023 - World Scientific
Polynomial chaos expansion (PCE) is widely adopted in geotechnical engineering as a
surrogate model for probabilistic analysis. However, the traditional low-order PCE may be …

Probabilistic sensitivity analysis with dependent variables: Covariance‐based decomposition of hydrologic models

Y Gao, A Sahin, JA Vrugt - Water Resources Research, 2023 - Wiley Online Library
Variance‐based analysis has emerged as method of choice for quantifying the sensitivity of
the output, y, of a scalar‐valued square‐integrable function, f∈ L2 (), to its d≥ 1 input …