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Turbulence and Shear Flow Phenomena -1 First International Symposium

1-56700-135-1 (Druckformat)


Philippe Druault
Lab. Etudes Aerodynamiques UMR CNRS 6609 Universite de Poitiers/ENSMA 43, route de l,aerodrome F-86036 Poitiers, FRANCE

Eric Lamballais
Institute PPRIME, Department of Fluid Flow, Heat Transfer and Combustion, Université de Poitiers, CNRS, ENSMA, Téléport 2 – Bd. Marie et Pierre Curie B.P. 30179, 86962 Futuroscope Chasseneuil Cedex, France

Joel Delville
Department of Fluid Flow, Heat Transfer and Combustion Institute Pprime - UPR 3346 - CNRS - Universite de Poitiers - ENSMA CEAT - F86036 Poitiers cedex, France

Jean-Paul Bonnet
Institut Pprime-Branche fluide Université de Poitiers 43 route de l'aérodrome,86000 Poitiers, France


In this numerical study, a possible interface between experiment and simulation is developed. The main goal is to be able to interface experimental time histories, measured at some few locations, with the inlet section of a time varying numerical simulation of a spatially developing flow. The study is performed through two-dimensional DNS of a mixing layer by defining a virtual interface within the computational domain. First, necessary criteria to insure "realistic" inflow conditions for numerical simulations are analyzed. It is then shown that even if the Reynolds stresses and spectral distributions are properly taken into account, a correct representation of the space-time coherence of the flow organization is essential to obtain a good interface. Using the Linear Stochastic Estimation (LSE) of the whole inlet velocities from only three spatial monitoring locations, "realistic" downstream velocity fields can be generated. This realism is found to be valuable as well for turbulent statistics as for instantaneous snapshots of vorticity of the flow field. Two main applications of the present interface are then possible: experimental unsteady conditions can be used to drive a DNS, while the numerical simulation can be helpful as a tool for dynamical signal processing analysis of experimental data.