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only a decade, making it difficult to extrapolate how they might degrade in the long-term. All this points to a common barrier: a lack of long-term experimental data to assess whether performance and
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, in CPDM Laboratory (Physico-Chemical Behaviour and Material Durability) and EMGCU (Experimentation and Modelling in Civil and Urban Engineering), in MAST Division (Materials and Structures
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loadings. It combines experimental data, finite element simulations, and probabilistic models. Results depicted on Fig. 1 and Fig. 2 show high extrapolation and interpolation capabilities of the obtained
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. The candidate will design and conduct laboratory experiments in which granular assemblies are driven slowly toward avalanche failure under well-controlled conditions. Experimental configurations will include
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fracture model to predict the macroscopic fracture energy from the bond-level dissipation and failure mechanisms experimentally observed in the process-zone. 4.Planned secondments Secondments will be decided