Introduction to Modern Computational Fluid Dynamics (CFD)

Computational Fluid Dynamics (CFD) has emerged as an essential component of the design and analysis process for a wide range of engineering applications. CFD tools enable an design engineer to simulate and understand the impact of the underlying physics, mathematics, and numerical concepts on an engineering system.

This introductory course addresses a wide range of topics from fundamental aspects of finite volume method to the state-of-the-art technologies, such as application of the latest Machine learning techniques to Computational Fluid Dynamics (CFD).

This course will cover;

Detail understanding of the finite volume method for computational fluid dynamics (CFD).

Critical understanding of the Governing equations including; The balance laws, Convective and Diffusive Fluxes, Accumulation and Source/Sink Terms, The basic Governing Equations in Integral and Differential forms etc…

The pressure projection and SIMPLE algorithm, Adaptive grid refinement, Gridles methods etc…

Introduction to the physics of turbulent flows and learn to apply the various turbulence models in CFD. Detail discussion on various turbulence models, energy cascading, Kolmogorov scales, Near wall behaviour, Wall function, Y+, etc...

How to apply CFD to environmental flows, including atmospheric dispersion, ground water flow, surface water flow including tsunamis.

A detail perspective on emerging trends, including the impact of deep machine learning and AI in CFD