[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 …
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
Reliability analysis plays a critical role in the design optimization, operation, and
maintenance of tunnel structures. While classical mechanism models have been …
maintenance of tunnel structures. While classical mechanism models have been …
Data-driven predictions of shield attitudes using Bayesian machine learning
Shield attitude prediction is essential in shield tunnelling to prevent excessive attitude
deviations and is highly correlated with shield operational parameters. Furthermore …
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
Accurately predicting slope reliability under a rainfall/rainstorm event is an important
prerequisite for preventing rainfall-induced landslide hazards. However, the predicted …
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 …
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
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 …
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
This paper presents a surrogate-based Bayesian approach for updating the ground
parameters within an application of the observational method in sequential excavation …
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 …
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 …
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 …
and adoption in developing nations like India, which has one of the highest rates of …