International audienceThe predictive capability of computational fluid dynamics (CFD) fire models is highly dependent on the accuracy with which the source term due to fuel pyrolysis can be determined. The pyrolysis rate is a key parameter controlling fire behavior, which in turn drives the heat feedback from the flame to the fuel surface. The main objectives of the present study were twofold. First, an in-depth pyrolysis model of a semi-transparent solid fuel (here, clear poly-methyl-methacrylate or PMMA) with in-depth radiation and a moving gas/solid interface was coupled with a CFD code which included turbulence, combustion and radiation for the gas phase. Second, experiments were conducted in order to validate coupled model results. A c...