Probabilistic methods for unified treatment of geotechnical and geological uncertainties in a geotechnical analysis

CH Juang, J Zhang, M Shen, J Hu - Engineering geology, 2019 - Elsevier
There are typically three types of models involved in a geotechnical analysis, ie, the
geologic model, the ground model, and the geotechnical model, each of which may be …

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 …

[HTML][HTML] Shear strength and life cycle assessment of volcanic ash-based geopolymer and cement stabilized soil: A comparative study

P Ghadir, M Zamanian, N Mahbubi-Motlagh… - Transportation …, 2021 - Elsevier
There is a growing interest in developing environmentally-friendly substitution for Portland
cement in soil stabilization. This study evaluated the feasibility of using volcanic ash (VA) …

Efficient probabilistic back analysis of spatially varying soil parameters for slope reliability assessment

SH Jiang, J Huang, XH Qi, CB Zhou - Engineering Geology, 2020 - Elsevier
The probability distributions of soil parameters can be updated with limited site-specific
information via probabilistic back analyses. The updated probability distributions can be …

Bayesian updating of slope reliability in spatially variable soils with in-situ measurements

SH Jiang, I Papaioannou, D Straub - Engineering Geology, 2018 - Elsevier
In-situ and/or laboratory test data, monitoring data and other site-specific information are a
common basis for assessing geotechnical performance. This information enables one to …

Probabilistic back analysis of rainfall induced landslide‐A case study of Malin landslide, India

P Ering, GLS Babu - Engineering Geology, 2016 - Elsevier
On 30th July 2014, a devastating landslide resulted in the burial of a village called Malin in
western India and led to about 160 deaths. The catastrophic failure was triggered by heavy …

Efficient method for probabilistic estimation of spatially varied hydraulic properties in a soil slope based on field responses: a Bayesian approach

HQ Yang, L Zhang, DQ Li - Computers and Geotechnics, 2018 - Elsevier
An efficient probabilistic back estimation method for characterization of spatial variability is
proposed by integration of the Karhunen–Loève (KL) expansion method, the Polynomial …

Bayesian estimation of spatially varying soil parameters with spatiotemporal monitoring data

HQ Yang, L Zhang, Q Pan, KK Phoon, Z Shen - Acta Geotechnica, 2021 - Springer
The characterization of in situ ground conditions is essential for geotechnical practice. The
probabilistic estimation of soil parameters can be achieved via updating with monitoring …

Sequential probabilistic back analyses of spatially varying soil parameters and slope reliability prediction under rainfall

M Pan, SH Jiang, X Liu, GQ Song, J Huang - Engineering Geology, 2024 - Elsevier
Accurately predicting slope reliability under a rainfall/rainstorm event is an important
prerequisite for preventing rainfall-induced landslide hazards. However, the predicted …

Effects of climate change on geotechnical infrastructures—state of the art

S Kandalai, NJ John, A Patel - Environmental Science and Pollution …, 2023 - Springer
Geotechnical infrastructures, like slopes and embankments, retaining walls, foundations,
engineered landfills, overburden dumps, and pavements, get continuously exposed to …