Computational Fluid Dynamics
Fluid mechanics is omnipresent in our life. Fluid mechanics has a wide scope of application, ranging from landing probes on Mars to maximizing the effectiveness of aerosol drug delivery systems. Further popular examples involving fluid mechanics are meteorology, oceanography, aeronautics, naval architecture, acoustics, turbomachinery, or combustion. The importance to gain best knowledge of flow physics is out of question. Apart from theoretical and experimental approaches (wind tunnel testing) computer based simulation, usually known as CFD (computational fluid dynamics), became an essential tool to analyze fluid mechanic problems.
CFD is one of the most challenging research disciplines. This can be supported by the fact that, although the basic governing equations (Navier-Stokes equations) are known since more than150 years, many flows of interest are still beyond present supercomputing capabilities. Most progress in CFD is the result of both, constantly increasing computer capacities along with improved underlying numerical methods.
Consequently, the CFD research philosophy at BCAM is to improve numerical methods in strong consideration of future progress in computer science. That does not only include the progress in computing hardware but also progress in programming methodology, parallel computation, software engineering etc. We aim to develop application-oriented methods and simulation software. Accordingly, our objective is to meet important industrial requirements such as accuracy, efficiency, robustness, and geometric flexibility. Our developed methods are targeted to be as universal as possible and we are willing to apply our tools to various kinds of fluid dynamic problems.
Every flow problem is a multi-physical problem. Some problems can only be fully understood and resolved if not only the flow problem but the complete multi-physical problem is analyzed. Hence, we are also interested in the development of multidisciplinary approaches such as aeroelastics and aeroacoustics.
Since our research is focused on applications our ultimate goal is to deliver an innovative simulation platform for design and optimization. In view of the fact that fluid dynamic design depends on multiple design variables we are aiming for efficient adjoint based optimization approaches.