Constitutive modeling of sedimentary argillaceous rocks for deep geological disposal of radioactive waste

Argillaceous rocks are considered ideal host geomaterials for deep geological disposal of radioactive waste due to their low permeability, notable sorption capacity, low diffusion coefficient, limited natural fracturing, and capacity for self-sealing. In line with this objective, substantial efforts have been made in the literature over the past decades to model their behavior numerically. Yet, accurately modeling the hydromechanical behavior of argillaceous rocks remains a significant challenge in geomechanics, highlighting the need for further research. Despite the wide variety of geomaterials in this class, common behavioral features are observed, such as anisotropy, structural degradation, strain localization, creep, heterogeneity, and self-sealing. This study summarizes these common features observed in laboratory and field settings and reviews the developed approaches for modeling each behavioral aspect. The goal is to establish a comprehensive framework for the practical modeling of these geomaterials, specifically aimed at applications in the geological disposal of radioactive waste.

Authors

Institutions

Publication Details

Journal
Journal of Rock Mechanics and Geotechnical Engineering
Published
2025-04-18
DOI
https://doi.org/10.1016/j.jrmge.2025.01.048
Citations
1
Primary Topic
Soil and Unsaturated Flow
Type
article
Field-Weighted Citation Impact
0.95

Funders

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

Constitutive modeling of sedimentary argillaceous rocks for deep geological disposal of radioactive waste

Davood Yazdani Cherati, Jean Vaunat, Antonio Gens
1 citations
Journal of Rock Mechanics and Geotechnical Engineering
Soil and Unsaturated Flow
0.95
article

Constitutive modeling of sedimentary argillaceous rocks for deep geological disposal of radioactive waste

Davood Yazdani Cherati, Jean Vaunat, Antonio Gens
article en
1 citations

Abstract

Argillaceous rocks are considered ideal host geomaterials for deep geological disposal of radioactive waste due to their low permeability, notable sorption capacity, low diffusion coefficient, limited natural fracturing, and capacity for self-sealing. In line with this objective, substantial efforts have been made in the literature over the past decades to model their behavior numerically. Yet, accurately modeling the hydromechanical behavior of argillaceous rocks remains a significant challenge in geomechanics, highlighting the need for further research. Despite the wide variety of geomaterials in this class, common behavioral features are observed, such as anisotropy, structural degradation, strain localization, creep, heterogeneity, and self-sealing. This study summarizes these common features observed in laboratory and field settings and reviews the developed approaches for modeling each behavioral aspect. The goal is to establish a comprehensive framework for the practical modeling of these geomaterials, specifically aimed at applications in the geological disposal of radioactive waste.

Journal of Rock Mechanics and Geotechnical EngineeringVol. 17(10)
Universitat Politècnica de Catalunya (ES)
Agence Nationale pour la Gestion des Déchets Radioactifs
Openalex Percentile: Top 27%
Soil and Unsaturated Flow
0.95
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.

Constitutive modeling of sedimentary argillaceous rocks for deep geological disposal of radioactive waste — Davood Yazdani Cherati, Jean Vaunat, et al. · Journal of Rock Mechanics and Geotechnical Engineering (2025) | TGRS Research Map | TGRS