Parametric study to implement a water-weakening process in UDEC

Despite the prevalence and validity of the universal distinct element code (UDEC) in simulations in geotechnics domain, water-weakening process of rock models remains elusive. Prior research has made positive contributions to a presupposed link between modelling parameters and saturation degree, S r . Nevertheless, this effort presents inaccurate results and limited implications owing to the misleading interpretation, that is, devoid of the basic logic in UDEC that modelling parameters should be calibrated by tested macroscopic properties in contrast to a presupposed relation with S r . To fill this gap, a new methodology is proposed by coupling a computationally efficient parametric study with the simulation of water-weakening mechanisms. More specifically, tested macroscopic properties with different S r values are input into parametric relations to acquire initial modelling parameters that are sequentially calibrated and modulated until simulations are in line with geomechanical tests. Illustrative example reveals that numerical water-weakening effects on macroscopic properties, mechanical behaviours, and failure configurations are highly consistent with tested ones with noticeable computational expediency, implying the feasibility and simplicity of this methodology. Furthermore, with compatibility across various numerical models, the proposed methodology substantially extends the applicability of UDEC in simulating water-weakening geotechnical problems.

Authors

Institutions

Publication Details

Journal
Journal of Rock Mechanics and Geotechnical Engineering
Published
2024-08-20
DOI
https://doi.org/10.1016/j.jrmge.2024.05.030
Citations
11
Primary Topic
Rock Mechanics and Modeling
Type
article
Field-Weighted Citation Impact
2.96

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Parametric study to implement a water-weakening process in UDEC

Lei Xue, Marc‐Henri Derron, Yuan Cui, Chao Xu et al.
11 citations
Journal of Rock Mechanics and Geotechnical Engineering
Rock Mechanics and Modeling
2.96
article

Parametric study to implement a water-weakening process in UDEC

Lei Xue, Marc‐Henri Derron, Yuan Cui, Chao Xu, Fengchang Bu, Michel Jaboyedoff
article en
11 citations

Abstract

Despite the prevalence and validity of the universal distinct element code (UDEC) in simulations in geotechnics domain, water-weakening process of rock models remains elusive. Prior research has made positive contributions to a presupposed link between modelling parameters and saturation degree, S r . Nevertheless, this effort presents inaccurate results and limited implications owing to the misleading interpretation, that is, devoid of the basic logic in UDEC that modelling parameters should be calibrated by tested macroscopic properties in contrast to a presupposed relation with S r . To fill this gap, a new methodology is proposed by coupling a computationally efficient parametric study with the simulation of water-weakening mechanisms. More specifically, tested macroscopic properties with different S r values are input into parametric relations to acquire initial modelling parameters that are sequentially calibrated and modulated until simulations are in line with geomechanical tests. Illustrative example reveals that numerical water-weakening effects on macroscopic properties, mechanical behaviours, and failure configurations are highly consistent with tested ones with noticeable computational expediency, implying the feasibility and simplicity of this methodology. Furthermore, with compatibility across various numerical models, the proposed methodology substantially extends the applicability of UDEC in simulating water-weakening geotechnical problems.

Journal of Rock Mechanics and Geotechnical EngineeringVol. 17(3)
Chinese Academy of Sciences (CN), Institute for Work and Health (CH), Institute of Geology and Geophysics (CN), University of Lausanne (CH)
National Natural Science Foundation of China, China Scholarship Council
Clean water and sanitation
Openalex Percentile: Top 9%
Rock Mechanics and Modeling
2.96
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.