Effect of spatial variability of creep rock on the stability of a deep double-lined drift

  • Tran Ngoc Tuyen Faculty of Engineering - Technology, Ha Tinh University, Cam Xuyen district, Ha Tinh province, Vietnam
  • Duc-Phi Do Univ Orléans, Univ Tours, INSA CVL, Lamé, EA 7494, France
  • Dashnor Hoxha Univ Orléans, Univ Tours, INSA CVL, Lamé, EA 7494, France
  • Minh-Ngoc Vu Andra, R&D Division, 92298 Chatenay-Malabry, France
  • Gilles Armand Andra, R&D Division, 92298 Chatenay-Malabry, France
Keywords: spatial variability, aleatoric uncertainty, random field, EOLE, deep drift, viscoplastic behavior, Kriging-based reliability analysis


This work aims at investigating the effect of aleatoric uncertainty of creep rock properties on the stability of an underground structure. This uncertainty relates to the spatial variability of the mechanical parameters representing the time-dependent behavior of geological rock formation due to the change in its mineralogy. The chosen methodology consists of representing the aleatoric uncertainty of rock properties by random fields, written as correlation functions with respect to the spatial correlation length. The adaptation of the well-known Expansion Optimal Linear Estimationmethod (EOLE) is performed to account for the cross-correlation of the random fields of the viscoplastic parameters of the host rock. Then, the Kriging-based reliability analysis is undertaken with respect to the discretized random fields, which allows elucidating the effect of spatial variability. As an application, the proposed approach is chosen to study the stability in the long-term of a deep double-lined drift within the geological disposal facilities (Cigeo project) conducted by the French National Radioactive Waste Management Agency (Andra). The drift will be excavated in Callovo-Oxfordian (COx) claystone (if the Cigeo project is licensed), considered as a potential host rock for the deep geological nuclear waste disposal in France. The results show that the chosen Kriging metamodel for the reliability analysis can be appropriate for the case of high correlation length represented by a moderate number of random variables (up to about 50) after the discretization of random fields. Further, the consideration of aleatoric uncertainty exhibits a lower probability of exceedance in comparison with the case where spatial variability is ignored. Still, more investigations need to be conducted in the future to conclude this observation.


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How to Cite
Tuyen, T. N., Do, D.-P., Hoxha, D., Vu, M.-N., & Armand, G. (2022). Effect of spatial variability of creep rock on the stability of a deep double-lined drift. Journal of Science and Technology in Civil Engineering (STCE) - HUCE, 16(3), 46-58. https://doi.org/10.31814/stce.huce(nuce)2022-16(3)-04
Research Papers