Predicting soot production in an industrial systems by using an LES approach represents a great challenge. Besides the complexity in modeling the multi-scale physical-chemical soot processes and their interaction with turbulence, the validation of newly developed models is critical when considering sooting turbulent flames. In this work, we first illustrate the difficulties in evaluating model performances specific to soot prediction in turbulent flames by considering soot production in the DLR aeroengine combustor. It is proven that soot production occurs only for scarce local gaseous conditions. Therefore, in order to obtain a statistical representation of such rare soot events, massive CPU resources would be required. For this reason, evaluating soot model performances based on parametric studies, i.e. multiple simulations, as done classically for purely gaseous flames is extremely CPU high-demanding when considering sooting flames. Then, a new strategy to investigate modeling impact on the solid phase in a rigorous way, without regard to soot statistics, is proposed here. It is based on a 'unique' gas-phase LES simulation, where the set of equations describing the solid phase are duplicated. One set accounts for the soot reference model, while the other set is treated with the model under the scope. Without retro-coupling of the solid phase on the gas phase, the soot scalars from both sets experience the same temporal and spatial