Countermeasures against large deformation of deep-buried soft rock tunnels in areas with high geostress: A case study

HS Deng, HL Fu, Y Shi, YY Zhao, WZ Hou - Tunnelling and Underground …, 2022 - Elsevier
Large squeezing deformation has been a main concern in the construction of deep-buried
tunnels with soft surrounding rocks in high-geostress areas, threatening the safety of tunnel …

[HTML][HTML] Challenges associated with numerical back analysis in rock mechanics

G Walton, S Sinha - Journal of Rock Mechanics and Geotechnical …, 2022 - Elsevier
Numerical back analysis is a valuable tool available to rock mechanics researchers and
practitioners. Recent studies related to back analysis methods focused primarily on …

Multi-objective optimization-based updating of predictions during excavation

YF Jin, ZY Yin, WH Zhou, HW Huang - Engineering Applications of Artificial …, 2019 - Elsevier
In this paper, an efficient multi-objective optimization (MOOP)-based updating framework is
established, which involves (1) the development of an enhanced multi-objective differential …

[HTML][HTML] Uncertainty quantification of inverse analysis for geomaterials using probabilistic programming

H Zhao, S Li, X Zang, X Liu, L Zhang, J Ren - Journal of Rock Mechanics …, 2024 - Elsevier
Uncertainty is an essentially challenging for safe construction and long-term stability of
geotechnical engineering. The inverse analysis is commonly utilized to determine the …

A methodology for dam parameter identification combining machine learning, multi-objective optimization and multiple decision criteria

W Li, Z Wu - Applied Soft Computing, 2022 - Elsevier
Physical and mechanical parameter identification could provide useful information for dam
health monitoring. Traditional methods for parameter identification commonly use subjective …

Parameter identification of unsaturated seepage model of core rockfill dams using principal component analysis and multi-objective optimization

Y Xu, Z Wu - Structures, 2022 - Elsevier
The seepage behavior of core walls is an important aspect of safety monitoring of core
rockfill dams. The permeability coefficient of unsaturated soil of the core wall is a nonlinear …

Multi-source data-driven unsaturated seepage parameter inversion: Application to a high core rockfill dam

J Li, C Chen, Z Wu, J Chen - Journal of Hydrology, 2023 - Elsevier
The inverse parameter's estimation of unsaturated seepage models is important to ensure
the safety of earth dams, while most existing studies determine the hydraulic characteristics …

The performance of six neural-evolutionary classification techniques combined with multi-layer perception in two-layered cohesive slope stability analysis and failure …

C Yuan, H Moayedi - Engineering with Computers, 2020 - Springer
Six population-based hybrid algorithms are applied to train the multilayer perceptron (MLP)
to improve the classification accuracy, in the stability assessment. A complex problem of …

Bayesian updating for progressive excavation of high rock slopes using multi-type monitoring data

Y Sun, J Huang, W Jin, SW Sloan, Q Jiang - Engineering Geology, 2019 - Elsevier
Abstract Systems for monitoring the deformation and stress conditions of excavated high
rock slopes are usually implemented for safety reasons and to predict the stability of future …

Bayesian selection of slope hydraulic model and identification of model parameters using monitoring data and subset simulation

X Liu, Y Wang - Computers and Geotechnics, 2021 - Elsevier
Accurate prediction of pore water pressure responses in soils is critical for predicting stability
of a slope when subjected to rainstorms. Slope hydraulic model and soil hydraulic …