Advanced Computational Fluid Dynamics

课程简介

/ Indicative Syllabus Partial differential equations – Mathematical classification; Well-posed problem; Model equations; Euler equations; Navier‒Stokes equations Finite differences – Error; Consistency; Stability; Upwind schemes; Flux splitting schemes; Flux-difference splitting schemes; Advection upstream splitting method (AUSM); Weighted essentially non-oscillatory (WENO) schemes; Compact schemes; Total variation diminishing (TVD) and slope limiters Time-marching techniques – Runge‒Kutta methods; Lower-upper symmetric Gauss–Seidel (LU-SGS) method; Point relaxation method; Line relaxation method; Generalized minimal residual method Other CFD techniques – Finite-volume method; Grid generation; Boundary conditions; Parallel computing Case studies – Application of the numerical techniques to canonical aerodynamic problems -- 1 of 3 --

目标

1. To provide students with advanced knowledge of computational fluid dynamics (CFD). 2. To develop students’ capability to numerically analyse canonical flow problems.

先修要求

/ Co-requisite/ Exclusion N/A

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 √ √ √