Research project: Aspects of Reduced Order Modelling in Nonlinear Systems
Numerical models for aerospace systems are often of very large dimension. It is not uncommon to solve for millions of degrees of freedom, especially in the field of computational fluid dynamics. The cost in wall-clock time and resources can easily become impractical if the analysis has to be repeated many times, e.g. over the expected flight envelope or atmospheric gust scenarios.