A discrete adjoint is developed on top of a parallel-computing code for the direct numerical simulation of wall turbulence. The architecture of the direct code is designed to obtain good scalar performance and high parallel efficiency using a cluster of dual-CPU Personal Computers. The adjoint code, written in a way that mimicks the basic structure of its direct counterpart, can also benefit of the same computational and parallel efficiency. After describing how we tested the adjoint part of the code against its direct counterpart, we present results concerning the sensitivity of the wall drag to blowing/suction applied at the wall for the case of a turbulent channel flow at Reτ = 180
The Direct Numerical Simulation of turbulent flows (DNS) has proved itself, over the years, an extre...
The Direct Numerical Simulation (DNS) of a turbulent channel containing a bump is carried out to stu...
A multi-block high-order finite-difference direct numerical simulation (DNS) code has been developed...
A discrete adjoint is developed on top of a parallel-computing code for the direct numerical simulat...
A discrete adjoint is developed on top of a parallel-computing code for the direct numerical simulat...
Direct Numerical Simulations (DNS) of turbulent channel flow are performed with the aim to reduce th...
In recent years, the increased use of off-the-shelf components and the large-scale adoption of paral...
This contribution deals with direct numerical simulation (DNS) of incompressible turbulent flows on ...
Nearly all moving objects on Earth pass through fluids and many of them move at high speed. This mak...
Direct Numerical Simulations (DNS) of turbulent channel flow are performed with the aim to reduce th...
A code for the direct numerical simulation (DNS) of incompressible turbulent flows that provides a f...
An algorithm for the Direct Numerical Simulation (DNS) of the incompressible Navier–Stokes equations...
The PhD research focuses on the development of efficient optimization algorithms for parallel comput...
Turbulent reacting flows drive many energy conversion devices and play crucial roles in the power ge...
Presented at the 15th Computational Fluid Dynamics Conference, Anaheim, California, 11-14 June 2001A...
The Direct Numerical Simulation of turbulent flows (DNS) has proved itself, over the years, an extre...
The Direct Numerical Simulation (DNS) of a turbulent channel containing a bump is carried out to stu...
A multi-block high-order finite-difference direct numerical simulation (DNS) code has been developed...
A discrete adjoint is developed on top of a parallel-computing code for the direct numerical simulat...
A discrete adjoint is developed on top of a parallel-computing code for the direct numerical simulat...
Direct Numerical Simulations (DNS) of turbulent channel flow are performed with the aim to reduce th...
In recent years, the increased use of off-the-shelf components and the large-scale adoption of paral...
This contribution deals with direct numerical simulation (DNS) of incompressible turbulent flows on ...
Nearly all moving objects on Earth pass through fluids and many of them move at high speed. This mak...
Direct Numerical Simulations (DNS) of turbulent channel flow are performed with the aim to reduce th...
A code for the direct numerical simulation (DNS) of incompressible turbulent flows that provides a f...
An algorithm for the Direct Numerical Simulation (DNS) of the incompressible Navier–Stokes equations...
The PhD research focuses on the development of efficient optimization algorithms for parallel comput...
Turbulent reacting flows drive many energy conversion devices and play crucial roles in the power ge...
Presented at the 15th Computational Fluid Dynamics Conference, Anaheim, California, 11-14 June 2001A...
The Direct Numerical Simulation of turbulent flows (DNS) has proved itself, over the years, an extre...
The Direct Numerical Simulation (DNS) of a turbulent channel containing a bump is carried out to stu...
A multi-block high-order finite-difference direct numerical simulation (DNS) code has been developed...