Modification of the SSG/LRR-omega Model for Separated Shear Flows Using Boundary-Layer Sensors

Kurzfassung

This contribution report on a modification of the SSG/LRR-omega Model for separated shear flows to improve the predictive accuracy for reattachment of thin separated flow. The method uses boundary-layer sensors to identify the local flow state for the activation of the RANS modification. Moreover, the work gives future prospects for further improvement of RANS turbulence models.