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2025
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Conference papers
2026
In this presentation we are interested in operational applications and new numerical approaches for modeling the heterogeneous mucus biofilm of human lungs for the monitoring of cystic fibrosis (CF) therapies. At an operational level, we aim at predicting whether a therapy has a significant impact of the mucociliary clearance or not, that is to say predicting the ability of the respiratory mucus to be functional (i.e. to be able to move efficiency toward the esophagus). By opposition, a non-functional mucus will not move sufficiently to clear the lung wall from allergens, toxic agents, viruses, bacteria and their residual products (DNA filaments and altered mucoïd elements).
The system studied is a mucus made of Newtonian PeriCiliary Liquid (PCL) and highly concentrated mucins produced by the goblet cells, flowing through and above the epithelium ciliated cells. The latter are considered as a porous medium described at its pore-scale, where each cilia is resolved individually. The cilia vibration generates a mixture between the mucins and the PCL, leading by reaction to a polymerized mucus with a particular rheology varying in space and time. Among the rheological features such as visco-elasticity, visco-plasticity, yield stress and shear-thinning, we focus on the latter which has been shown to be the dominant feature leading to non-functional mucus. This leads to two-kinds of nonlinearity whose effects compete or cooperate and provide functional or non-functional mucus propulsion.
We will show that numerical simulations using dedicated semi-Lagrangian methods [1, 2] gives good agreement with clinical picture of cystic fibrosis patients [3], whose sputum provides the rheological parameters. New clinical data also exhibit that simulations and sputum rheology allows to track pathology evolution for the patients under the recent tripletherapies.
2024
CO2 storage in subsurface formations, such as saline aquifers, has emerged as a promising alternative to reduce greenhouse gas emissions and mitigate their impacts on global warming [1]. Ensuring the reliability of CO2 leakage risk assessment remains critical in the context of carbon capture and storage (CCS) technologies and raises significant concerns for predicting long-term behaviours. Various potential sources of leakage, such as geological faults and fractures or mineralogical changes of the rock matrix due to the acidification of the medium, may compromise the integrity of the seal and caprock. On the one hand, fault damage zones characterized by a fracture network can become highconductive flow pathways, where the permeability needs to be investigated to assess fault-related leakage rates [2]. On the other hand, the mineral reactivity of the reservoir structure with the injected CO2 may result in mainly carbonate dissolution under acidic conditions, locally impacting the flow paths, porosity and permeability [3].
Investigating the effects of these two phenomena is, therefore, crucial to ensure reliable management of CCS facilities. However, several uncertainties are associated with modelling these geochemical and structural mechanisms at the reservoir scale. Subsurface uncertainties arise from missing geological features and data sparsity regarding macro-properties distributions such as permeability and porosity. This necessitates sensitivity analyses in terms of the macroscopic description of the porous structures to ensure reliable management of CO2 storage in natural reservoirs. However, the parametrization of geological distributions is often left to the user's discretion [4].
2023
2022
Particle-Strength-Exchange methods for Lagrangian 3D DNS of rheological and reactive fluids with evolving interfaces at the pore-scale Contenu This talk will show the latest developments in Lagrangian/particle methods for the computation of complex fluid dynamics in real 3D geometries at the pore-scale. This involves the consideration of shear-thinning fluids from [2,5] and reactive solid rock matrix [1], using the Lagrangian transport developed in [2], whose physical considerations have been validated in [3].
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Book sections
2017
Habilitation à diriger des recherches
2007
Other publications
2022
Poster communications
2023
2017
Theses
2001