Abstract:

  We consider the question whether numerical models which have been developed with the intention of approximating numerically differential flow evolution equations may inherently recover physical consistency. Physical consistency as opposed to mathematical consistency describes the behavior of the model at resolution levels far below what is necessary to reach the asymptotic range of discretization schemes. This is the actual application situation of such models as in cases of reasonable practical complexity the asymptotic-rage resolution cannot be afforded. We give a review on the evolution of so-called physically consistent nonlinear schemes, summary of the state of the art and an outlook towards stochastic models.

Short-biography:

  Professor Adams conducts research focusing on the modeling of transitional and turbulent flows, fluid-structure interaction, microfluidics, multi-phase flows, and numerical methods. He also performs experimental and numerical analysis in the fields of automotive and aircraft aerodynamics, high-velocity aerodynamics, and environmental and sports equipment aerodynamics.
  After studying aerospace engineering at the University of Stuttgart and receiving a doctorate from TUM (1993), Professor Adams was awarded a two-year postdoctoral fellowship at Stanford University and NASA Ames Research Center. In 1999 Professor Adams acquired his postdoctoral teaching qualification (habilitation) at ETH (Swiss Federal Technology Institute). He worked as an assistant professor at ETH until 2002 when he moved to TU Dresden as a professor of flow mechanics and magneto-fluid dynamics. Since 2004 Professor Adams has been a full professor in the Aerodynamics and Flow Mechanics Department at TUM. Professor Adams is the speaker of Collaborative Research Centre Transregio TRR 40. He is the author of a monograph on large eddy simulation and is the executive editor of the Journal of Computational Physics. He has served as the Dean of Mechanical Engineering at TUM since 2017.

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