Generative deep learning for data generation in natural hazard analysis: motivations, advances, challenges, and opportunities

Z Ma, G Mei, N Xu - Artificial Intelligence Review, 2024 - Springer
Data mining and analysis are critical for preventing or mitigating natural hazards. However,
data availability in natural hazard analysis is experiencing unprecedented challenges due to …

Seismic fragility and resilience assessment of shallowly buried large-section underground civil defense structure in soft soils: Framework and application

Z Huang, Y Cheng, D Zhang, D Yan, Y Shen - Tunnelling and Underground …, 2024 - Elsevier
The assessment of fragility of underground civil defense structures is of paramount
importance in ensuring their functionality and enhancing safety in seismic-prone regions …

Large-deformation modelling of earthquake-triggered landslides considering non-uniform soils with a stratigraphic dip

SP Ren, XJ Chen, ZL Ren, P Cheng, Y Liu - Computers and Geotechnics, 2023 - Elsevier
Natural soil slopes often exhibit both spatial variability and stratigraphic dips due to complex
depositional processes of soil, exerting a remarkable influence on landslide behaviors …

MPM-based mechanism and runout analysis of a compound reactivated landslide

K He, C **, B Liu, X Hu, G Luo, G Ma, R Zhou - Computers and Geotechnics, 2023 - Elsevier
Understanding the entire process of hydraulic-related landslide reactivations is crucial for
risk assessment, which includes initiation and runout evolves from a small-deformation in …

[HTML][HTML] An improved BUS approach for Bayesian inverse analysis of soil parameters incorporating extensive field data

X Liu, G Ma, M Rezania, X Li, SH Jiang - Computers and Geotechnics, 2024 - Elsevier
This study addresses the complexities encountered when integrating site-specific field data
into the Bayesian inverse analysis of soil parameters in geotechnical structures. Traditional …

[HTML][HTML] Probabilistic assessment of 3D slope failures in spatially variable soils by cooperative stochastic material point method

SH Jiang, JP Li, GT Ma, M Rezania - Computers and Geotechnics, 2024 - Elsevier
Accurate assessment of slope failures and their large deformations is critical for effective
landslide mitigation. This study introduces the new Cooperative Stochastic Material Point …

Uncertainty evaluation of the run-out distance of flow-like landslides considering the anisotropic scale of fluctuation in the random field of internal friction angle

W Zhang, W Zhang, Y Chen, J Ji, Y Gao - Acta Geotechnica, 2023 - Springer
Naturally, sedimented strata bring about complicated distributions for geomaterial properties
with different random field parameters in different directions, eg, the anisotropic scale of …

[HTML][HTML] Fast physically-based probabilistic modelling of rainfall-induced shallow landslide susceptibility at the regional scale considering geotechnical uncertainties …

H Cui, V Medina, M Hürlimann, J Ji - Computers and Geotechnics, 2024 - Elsevier
The inherent uncertainty in hydro-geotechnical parameters presents a significant challenge
for accurately predicting rainfall-triggered shallow landslides in mountainous regions. In this …

Reliability analysis and geometric optimization method of cut slope in spatially variable soils with rotated anisotropy

H Qin, X Yin, H Tang, X Cheng - Engineering Failure Analysis, 2024 - Elsevier
The construction of the 'Dayangyun'Expressway has generated a large number of
engineering landslide disaster chains, mainly due to the lack of consideration of the …

Hydraulic fracture propagation in layered heterogeneous rocks with spatially non-gaussian random hydromechanical features

N Sarmadi, M Harrison, M Mousavi Nezhad… - Rock Mechanics and …, 2024 - Springer
This study proposes a stochastic method to analyse the propagation of hydraulic fractures
affected by layered heterogeneity in rocks in a toughness-dominated regime. The study …