The advent of supercomputers has brought computational fluid
dynamics (CFD) to the forefront as a tool to analyze increasingly
complex simulation scenarios in many fields. Computational
aerodynamics problems are also increasingly moving towards being
coupled, multi-physics and multi-scale with complex, moving
geometries. The latter presents severe geometry handling and
meshing challenges. Simulations also frequently use formal design
optimization processes. This book explains the evolution of CFD and
provides a comprehensive overview of the plethora of tools and
methods available for solving complex scenarios while exploring the
future directions and possible outcomes. Using numerous examples,
illustrations and computational methods the author discusses
turbulence modeling, pre and post processing, coupled solutions,
the importance of design optimization, multiphysics problems,
reduced order models, and large scale computations and the future
of CFD. Advanced Computational Fluid and Aerodynamics is suitable
for audiences engaged in computational fluid dynamics including
advanced undergraduates, researchers and industrial practitioners.
General
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