Joffrey Coheur

Funding: FRIA
Supervisor(s): Philippe Chatelain

For space missions involving atmospheric entry, the thermal protection system (TPS) is essential to shield the vehicle from the severe aerothermal loads. Whereas TPS materials were fully dense in the past, new lightweight porous fiber/resin composite materials are used for reentry systems nowadays. The optimal design of TPS using these new materials requires however (i) the development of high fidelity numerical models, (ii) the development and calibration of physico-chemical models based on new ablation experiments on porous materials, and (iii) the analysis of the impact of uncertainties stemming from physico-chemical models.
The overarching objective of this project is to contribute to the development of an uncertainty-quantified numerical modeling of the ablation of new porous composite materials and to the analysis of the impact of uncertainty on TPS design. This project has three main axes. (i) First, we will develop a new methodology for representing the process of ablation from resin pyrolysis to char ablation in a unified flow-material approach where the Volume-Averaged Navier-Stokes equations are solved. We will implement this model in a new module of the high-fidelity numerical code ARGO, under development at CENAERO, VKI, and UCL. (ii) Next, we will address the inversion and the uncertainty characterization of physico-chemical models for resin pyrolysis and fiber ablation on the basis of recent experiments. (iii) Finally, we will analyze the impact of the uncertainty in the physico-chemical models on the numerical modeling of ablation of TPS by using nonintrusive stochastic methods. We will compare numerical results with experimental results conducted in the VKI plasma wind tunnel for validation, and we will eventually apply the methodology on engineering problems relevant to inflight performance prediction and TPS design.

IMMC main research direction(s):
Computational science
Fluid mechanics
Processing and characterisation of materials

bayesian inference

Research group(s): TFL
Collaborations: ULiège (Maarten Arnst), von Karman Institute for Fluid Dynamics (Thierry Magin), Cenaero (P. Schrooyen and K. Hillewaert)


Recent publications

See complete list of publications

Conference Papers

1. Schrooyen, Pierre; Coheur, Joffrey; Turchi, Alessandro; Hillewaert, Koen; Chatelain, Philippe; Magin, Thierry. Numerical simulation of a non-charring ablator in high enthalpy flows by means of a unified flow-material solver. In: AIAA Aviation Forum. Vol. 2017, no.1, p. 3352 (June 2017). AIAA, 2017. doi:10.2514/6.2017-3352.