ERC Advanced 882450 – 2020-2025
Micro-scale dependent, time- and space-evolving rheologies: the key for generating strain localization in the Earth
RhEoVOLUTION aims to unravel how the evolution of rock rheology controls strain localization at different scales in the Earth. To do so, we will develop a framework for modeling self-consistently strain localization in rocks deforming by ductile processes. We will design: (1) stochastic descriptions of the evolution of the rheology in time and space and (2) fast (supervised machine-learning) methods to calculate the evolution of its anisotropy, which we will incorporate in geodynamical and ice-flow models.
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News
NEW PREPRINT – from August 2025
Mineau, T., Tommasi, A., Montagnat, M., Barou, F., Boissonneau, G., Lopez-Sanchez, M. Influence of initial texture and microstructure on mechanical behaviour and strain localization in AZ31 Mg alloy. submitted to Journal of Theoretical, Computational and Applied Mechanics – preprint@HAL
NEW ARTICLE
Andréa Tommasi, Felipe Sáez-Leiva, Lilou Zeller, Michel Peyret, Riad Hassani, Maurine Montagnat (2026) Modelling ductile strain localization with evolutive stochastic rheologies. Earth Planetary Science Letters, 120239. doi: 10.1016/j.epsl.2026.120239 https://arxiv.org/abs/2505.01360
Thomas Mineau was awarded the 2nd best oral presentation prize for his presentation “EBSD quasi in-situ experiments to unravel the links between dynamic recrystallization, microstructure evolution, and mechanical behavior in AZ31 Mg alloy” in the International Conference Recrystallization and Grain Growth at Hamilton, CA 25-29 May 2026.
NEW ARTICLE
Boissonneau, G., Tommasi, A., Barou, F., Lopez-Sanchez M.A., Montagnat, M. (2025) Dynamic recrystallization and mechanical behavior of Mg alloy AZ31: Constraints from tensile tests with in-situ EBSD analysis. Comptes Rendus Mécanique, 353:235-258, doi: 10.5802/crmeca.267
NEW ARTICLE
Kerswell, B., Cerpa, N., Tommasi, A., Godard, M. Padron-Navarta, J.A. RocMLMs: Predicting Rock Properties through Machine Learning Models. Journal of Geophysical Research – Machine Learning and Computation, e2024JH000264. https://doi.org/10.1029/2024JH000264
NEW ARTICLE
Chardelin, M., Tommasi, A., Padron-Navarta, J.A. Progressive strain localization and fluid-focusing in mantle shear zones during rifting: Petrostructural constraints from the Zabargad peridotites, Red Sea. J. Petrology, in press. Preprint at HAL https://hal.science/hal-04387529
JUST PUBLISHED!
Chauve, T., Montagnat, M., Dansereau, V. Saramito, P., Fourteau, K., Tommasi, A. (2024) A physically-based formulation for texture evolution during dynamic recrystallization. A case study for ice. Comptes rendus Mécanique, in press. Preprint: https://hal.science/hal-04231338
PUBLICATION
Decoupling between strain localisation and the microstructural record: evidence from in-situ strain measurements in polycrystalline ice.
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Evolution of strain field and microstructure in polycrystalline ice using in situ experiments
PUBLICATION
Dynamic recrystallization by subgrain rotation in olivine revealed by high-spatial resolution electron backscatter diffraction.
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PUBLICATION
The Borborema strike-slip shear zone system (NE Brazil): Large-scale intracontinental strain localization in a heterogeneous plate.
