This talk is concerned with the direct numerical simulation (DNS) of turbulent combustion and its application to the study of transverse reactive jet flows. Due to their interesting mixing properties, transverse jets are important to a variety of industrial applications (film cooling, primary or dilution jets in gas turbines). More recently, microjets have also been used to suppress combustion instabilities in lean premixed combustion systems. Understanding the detailed physics of the flow is important for optimizing the effectiveness of the microjets and the design of stable clean burning systems. To capture the jet complex structure, we developed a fast, accurate and parallel 3D code for direct simulation of turbulent reactive flows using mixed Eulerian-Lagrangian numerical methods. Lagrangian particle methods have been chosen for their natural adaptivity as they capture the multiscale nature of turbulence. We combine particle methods with Eulerian grid-based methods to solve the reactive transport equations.

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