Computational Fluid Dynamics

课程简介

/ Indicative Syllabus Revisit to flow governing equations – Material derivative; Reynolds transport theorem; Derivation of Navier-Stokes equations. Turbulent flows – Kolmogorov scales; Reynolds-averaged Navier-Stokes simulations; Large-eddy simulation. Introduction to numerical methods – Errors; Consistency; Accuracy; Stability; Convergence. Finite-difference methods – Discretisation of temporal and spatial derivatives; Explicit and implicit formulations; Stability analysis; Fourier error analysis. Time-marching techniques – Lax–Wendroff technique; MacCormack’s technique; Crank-Nicolson technique; Range-Kutta method. Finite-volume methods – Principles of finite volume method (FVM); FVM for diffusion and convection problems; Application to Navier-Stokes equations, SIMPLE algorithm, PISO algorithm. Modern CFD techniques – Shock-capturing techniques; Upwind schemes; Limiters; Total variation diminishing; Implicit methods. Case studies – Application of the numerical techniques to canonical flow problems in aerospace engineering. -- 1 of 3 -- 2

目标

1. To familiarise students with computational fluid dynamics (CFD) techniques used in the study of fluid flow problems. 2. To enable students to apply CFD techniques specifically to aerospace- related scenarios.

先修要求

/ Co-requisite/ Exclusion Nil

Teaching Pattern

Methodology 1. The teaching and learning methods include lectures/tutorials, projects, and homework assignments. 2. The lectures/tutorials aim at providing students with integrated knowledge of CFD. 3. Technical/scientific problems and examples will be raised in projects and homework assignments to develop students’ skills of numerical analysis. Teaching/Learning Methodology Intended subject learning outcomes a b c 1. Lectures/tutorials √ √ √ 2. Projects √ √ √ 3. Homework assignments √ √ 