[HTML][HTML] Challenges in geotechnical design revealed by reliability assessment: Review and future perspectives

Y Otake, Y Honjo - Soils and Foundations, 2022 - Elsevier
This report discusses the challenges associated with geotechnical design through a review
of research on the reliability analysis of geotechnical structures. This report is organized into …

Data-driven models in reliability analysis for tunnel structure: A systematic review

W Qin, EJ Chen, F Wang, W Liu, C Zhou - Tunnelling and Underground …, 2024 - Elsevier
Reliability analysis plays a critical role in the design optimization, operation, and
maintenance of tunnel structures. While classical mechanism models have been …

Data-driven predictions of shield attitudes using Bayesian machine learning

L Wang, Q Pan, S Wang - Computers and Geotechnics, 2024 - Elsevier
Shield attitude prediction is essential in shield tunnelling to prevent excessive attitude
deviations and is highly correlated with shield operational parameters. Furthermore …

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 …

Evaluating model uncertainty of an in situ state parameter-based simplified method for reliability analysis of liquefaction potential

W Duan, Z Zhao, G Cai, S Pu, S Liu, X Dong - Computers and Geotechnics, 2022 - Elsevier
Although the simplified procedure of Seed and Idriss (1971) is commonly used, uncertainties
are involved in the collected case histories from field observations, as well as the model …

[HTML][HTML] Bayesian ensemble methods for predicting ground deformation due to tunnelling with sparse monitoring data

Z Zhang, T Zhang, X Li, D Dias - Underground Space, 2024 - Elsevier
Numerous analytical models have been developed to predict ground deformations induced
by tunneling, which is a critical issue in tunnel engineering. However, the accuracy of these …

Updating model parameters and predictions in SEM tunnelling using a surrogate-based Bayesian approach

H Zheng, M Mooney, M Gutierrez - Géotechnique, 2023 - icevirtuallibrary.com
This paper presents a surrogate-based Bayesian approach for updating the ground
parameters within an application of the observational method in sequential excavation …

Probabilistic back analysis for rainfall-induced slope failure using MLS-SVR and Bayesian analysis

H Rana, GL Sivakumar Babu - … of Risk for Engineered Systems and …, 2024 - Taylor & Francis
Measurement and model uncertainties in soil parameters account for the difference between
slope behaviour in the field and expected behaviour. The probabilistic back analysis is an …

Probability Quantification of GSI and D in Hoek–Brown Criterion Using Bayesian Inversion and Ultrasonic Test in Rock Mass

J Liu, Q Jiang, D Dias, C Tao - Rock Mechanics and Rock Engineering, 2023 - Springer
Abstract The Hoek–Brown criterion is widely utilized in rock mass engineering. However,
determining the geological strength index (GSI) and disturbance factor (D), essential …

Identification of potential failure zones in large progressive landslides: a method to optimize the cost of landslide early warning

S Kumar, SD Panda, SP Pradhan, P Chattopadhyay - Natural Hazards, 2024 - Springer
The cost of a landslide early warning system (LEWS) is a significant hurdle in its installation
and adoption in developing nations like India, which has one of the highest rates of …