Wang, F., Meng, D., Konietzky, H. et al. (3 more authors) (2026) A discrete element approach for simulating progressive fracturing in geothermal reservoirs via a new cohesive crack model. Computers and Geotechnics, 192. 107908. ISSN: 0266-352X
Abstract
In fractured geothermal energy storage systems, repeated heating and cooling cycles and fluid interactions cause non-linear and non-monotonic fracture deformations, requiring sophisticated modeling of complex thermo-hydro-mechanical (THM) behaviors. This paper proposes a new cohesive crack model for the discrete element method (DEM), aiming to enhance the characterization of the entire fracturing process in rocks during loading–unloading-reloading while considering thermo-hydraulic conditions. Specifically, the model proposed allows for flexible adjustment of post-peak tension behavior and is able to capture the progressive evolution of fracture opening and closing under cyclic THM loadings. Validation of the new model was performed under a range of thermo-hydraulic conditions, confirming its ability to replicate diverse fracture behaviors, and offering a comprehensive solution to modeling the complex interplay of thermal, hydraulic, and mechanical factors influencing rock fractures in the context of geothermal energy storage and extraction systems.
Metadata
| Item Type: | Article |
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| Authors/Creators: |
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| Copyright, Publisher and Additional Information: | © 2026 The Author(s). This is an open access article under the terms of the Creative Commons Attribution License (CC-BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited. |
| Keywords: | Thermal cracking; Crystalline rock; Underground thermal energy storage; Heating-cooling cycles; Numerical simulation |
| Dates: |
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| Institution: | The University of Leeds |
| Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > School of Earth and Environment (Leeds) |
| Date Deposited: | 24 Mar 2026 10:02 |
| Last Modified: | 24 Mar 2026 10:02 |
| Status: | Published |
| Publisher: | Elsevier |
| Identification Number: | 10.1016/j.compgeo.2026.107908 |
| Related URLs: | |
| Sustainable Development Goals: | |
| Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:239254 |
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