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Här visas ändringar i "Advanced Computation in Fluid Mechanics (DD2365), 7.5hp, Spring 2016" mellan 2016-03-30 08:38 av Johan Hoffman och 2016-03-30 09:05 av Johan Hoffman.

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Advanced Computation in Fluid Mechanics (DD2365), 7.5hp, Spring 2016

First lecture: Wednesday March 30, 11.15 in room M38.

Advanced Computation in Fluid Mechanics The course focuses on four topics:


* FEM for incompressible flowsteady, viscous flow: Stokes equations.
* FEM for the time-dependentunsteady flow: Navier-Stokes equations.
* Error estimation and adaptive methods for the Navier-Stokes equations.
* Computational methods for turbulent flow.
Recommended prerequisites SF2561 The Finite Element Method

Course activities
* 4 lectures/labs
* 3 project seminars
Course goals The goal of the course is to present efficient computational methods for fluid mechanics simulations, with focus on adaptive finite element methods (FEM) for incompressible flow, and to train the student to apply these computational methods to address fluid mechanics problems. Research challenges in the field are highlighted, e.g. with respect to simulation of turbulent flow.

After completion of the course the student will be able to:


* Formulate an adaptive FEM method for the Navier-Stokes equations.
* Carry out a basic stability analysis of a FEM method for the Navier-Stokes equations.
* Carry out a basic a posteriori error analysis of a FEM method for the Navier-Stokes equations.
* Implement an adaptive FEM method for the Navier-Stokes equations in a FEM software.
* Account for the characteristics of different computational methods for turbulent flow.
Examination
* Lab reports, project report and project presentation
* Written exam based on lecture notes, labs and project
TeachersLabs The course consists of 4 labs:¶


* Lab 1: FEM for Stokes equations
* Lab 2: FEM for Navier-Stokes equations
* Lab 3: Adaptive FEM for Navier-Stokes equations
* Lab 4: Adaptive FEM for turbulent flow
The lab reports should should be sent to the teacher by email as one pdf-file. The code written should be submitted to the teacher by email for verification, or made available as a Python notebook (Labs 1-2). ¶

Project The project is done in groups of 2-3 students, and the report should consist of the following parts: ¶


* Background
* Research question
* Method
* Results
* Discussion
The report should consist of max 5 pages using font Times New Roman 12pt, and should be submitted to the teacher by email as one pdf-file. The code written should be submitted to the teacher by email for verification. ¶

Teachers
*
Johan Hoffman

* Johan Jansson

* Niyazi Cem Degirmenci

Literature
*
[CTIF] J.Hoffman and C.Johnson, Computational Turbulent Incompressible Flow, Springer, 2007 (order, download)

* [NMIF] Martin Burger, Numerical Methods for Incompressible Flow

* [LFEM] Endre Süli, Lecture notes on finite element methods for partial differential equations

* [FEniCS] FEniCS book: Automated solution of differential equations by the finite element method

Software
*
FEniCS [download software to your computer]

* FEniCS-cloud [run software through your web browser]

* FEniCS-HPC [run HPC version of software on PDC supercomputer Beskow][Apply for a PDC account]

Add-on studies
*
Contact the course leader about project work.

Preliminary week schedule Week 1
*
Course introduction

* Register for the course

* Apply for a PDC account

* Review fluid dynamics: [NMIF] chapters 1-3

* Review finite element methods: [LFEM] chapters 1-3

Week 2
*
FEM for steady, viscous flow: theStokes equations.
* Lab 1: FEM for
Stokes equations.

Week 3
*
FEM for the unsteady flow: theNavier-Stokes equations.
* Lab 2: FEM for
Navier-Stokes equations.

Week 4
*
Error estimation and adaptive methods for the Navier-Stokes equations.

* Lab 3: Adaptive FEM for Navier-Stokes equations
Week 5
*
Computational methods for turbulent flow.

* Lab 4: Adaptive FEM for turbulent flow
Week 6
*
Project seminar: problem statement

Week 7
*
Project seminar: first results

Week 8
*
Project seminar: final presentation

Week 9
*
Written exam.