Immersed boundary technique for turbulent flow simulations

Author:

Iaccarino Gianluca1,Verzicco Roberto2

Affiliation:

1. Center for Turbulence Research, Stanford University, CA 94305-3030; jops@ctr.stanford.edu

2. DIMeG and CEMeC, Politecnico di Bari, Via Re David, 200, 70125, Bari, Italy; verzicco@poliba.it

Abstract

The application of the Immersed Boundary (IB) method to simulate incompressible, turbulent flows around complex configurations is illustrated; the IB is based on the use of non-body conformal grids, and the effect of the presence of a body in the flow is accounted for by modifying the governing equations. Turbulence is modeled using standard Reynolds-Averaged Navier-Stokes models or the more sophisticated Large Eddy Simulation approach. The main features of the IB technique are described with emphasis on the treatment of boundary conditions at an immersed surface. Examples of flows around a cylinder, in a wavy channel, inside a stirred tank and a piston/cylinder assembly, and around a road vehicle are presented. Comparison with experimental data shows the accuracy of the present technique. This review article cites 70 references.

Publisher

ASME International

Subject

Mechanical Engineering

Reference70 articles.

1. Vieceli JA (1969), A method for including arbitrary external boundaries in the MAC incompressible fluid computing technique, J. Comput. Phys. 4, 543–551.

2. Welch JE, Harlow FH, Shannon JP, and Daly BJ (1966), A computing technique for solving viscous incompressible transient fluid flow problems involving free-surfaces, Report LA-3425, Los Alamos Scientific Lab.

3. Harlow FH and Welch JE (1965), Numerical calculation of time-dependent viscous incompressible flows of fluid with free surface, Phys. Fluids 8, 21822182.

4. Vieceli JA (1971), A computing method for incompressible flows bounded by moving walls, J. Comput. Phys. 8, 119–143.

5. Peskin CS (1972), Flow patterns around heart valves: A digital computer method for solving the equations of motion, PhD thesis, Physiology, Albert Einstein College of Medicine, Univ Microfilms 72–30, 378.

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