Development of a data-driven wall model for large-eddy simulation of gas turbine film cooling flows
Bulletin of the American Physical Society, 2022•APS
… A data-driven wall modeling framework is developed for large-eddy simulation (LES) of
gas turbine film cooling systems. High-fidelity near-wall turbulent flow datasets are extracted
from wall-resolved LES of a canonical gas turbine film cooling configuration, comprised of a
flat plate with a single row of 7-7-7 shaped cooling holes, performed using a high-order
spectral element CFD solver Nek5000. Wall-normal distance, near-wall fluid velocity,
velocity/pressure gradients, and fluid density are used as input features and wall shear …
gas turbine film cooling systems. High-fidelity near-wall turbulent flow datasets are extracted
from wall-resolved LES of a canonical gas turbine film cooling configuration, comprised of a
flat plate with a single row of 7-7-7 shaped cooling holes, performed using a high-order
spectral element CFD solver Nek5000. Wall-normal distance, near-wall fluid velocity,
velocity/pressure gradients, and fluid density are used as input features and wall shear …
Abstract
Q08. 00009: Development of a Data-Driven Wall Model for Large-Eddy Simulation of Gas Turbine Film Cooling Flows*
American Physical Society以上显示的是最相近的搜索结果。 查看全部搜索结果