Machine learning (ML) is a rising and promising tool for Reynolds-Averaged Navier–Stokes (RANS) turbulence model developments, but its application to industrial flows hindered by the lack of explainability ML model. In this paper, two types methods improve are presented, namely intrinsic that reduce complexity post-hoc explain correlation between inputs outputs. The investigated ML-assisted fra...

This paper concerns the structural stability of smooth cylindrically symmetric transonic flows in a concentric cylinder. Both cylindrical and axi-symmetric perturbations are considered. The governing system here is mixed elliptic–hyperbolic changes type suitable formulation boundary conditions at boundaries great importance. First, we establish existence uniqueness spiral solutions with nonzero...

This paper deals with the numerical simulation of 2D transonic flow through SE1050 turbine blade cascade at various conditions. The first one concerns design operation a zero incidence angle involved in ERCOFTAC Database CFD-QNET and second +20° corresponding to an off-design operation. Advanced mathematical models two different bypass transition turbulence were applied for regimes flows as wel...