Articles | Volume 3
https://doi.org/10.5194/sand-3-15-2025
https://doi.org/10.5194/sand-3-15-2025
Research article
 | 
18 Mar 2025
Research article |  | 18 Mar 2025

SAFENET-2 – fracture evolution in crystalline rocks (from lab to in situ scale)

Olaf Kolditz, Christopher McDermott, Jeoung Seok Yoon, Jörg Renner, Li Zhuang, Andrew Fraser-Harris, Michael Chandler, Samuel Graham, Ju Wang, and Mostafa Mollaali

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Cited articles

Bang, H.-T., Yoon, S., and Jeon, H.: Application of machine learning methods to predict a thermal conductivity model for compacted bentonite, Ann. Nucl. Energy, 142, 107395, https://doi.org/10.1016/j.anucene.2020.107395, 2020. a
BASE: Quo Vadis – Künstliche Intelligenz in der nuklearen Entsorgung, Workshop proceedings, Bundesamt für die Sicherheit der nuklearen Entsorgung (BASE), 10623 Berlin, Wegelystrasse 8, 2023. a
Bilke, L., Flemisch, B., Kalbacher, T., Kolditz, O., Helmig, R., and Nagel, T.: Development of Open-Source Porous Media Simulators: Principles and Experiences, Transport Porous Med., 130, 337–361, https://doi.org/10.1007/s11242-019-01310-1, 2019. a
Birkholzer, J. T., Bond, A. E., and Tsang, C.-F.: The DECOVALEX international collaboration on modeling of coupled subsurface processes and its contribution to confidence building in radioactive waste disposal, Hydrogeol. J., 32, 1295–1305, https://doi.org/10.1007/s10040-024-02799-7, 2024. a
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Short summary
The DECOVALEX Task SAFENET is dedicated to advancing the understanding of fracture nucleation and evolution processes in crystalline rocks, with applications in nuclear waste management and geothermal reservoir engineering.
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