▶Japanese
Post to SNS
- Home
- > School of Engineering
- > Graduate major in Mechanical Engineering
- > Computational Fluid Dynamics
- School of Science
-
School of Engineering
- Undergraduate major in Mechanical Engineering
- Undergraduate major in Systems and Control Engineering
- Undergraduate major in Electrical and Electronic Engineering
- Undergraduate major in Information and Communications Engineering
- Undergraduate major in Industrial Engineering and Economics
- Common courses
- School of Materials and Chemical Technology
- School of Computing
- School of Life Science and Technology
- School of Environment and Society
- 工学院，物質理工学院，環境・社会理工学院共通科目
- Liberal arts and basic science courses
- First-Year Courses
- School of Science
- School of Engineering
- School of Materials and Chemical Technology
- School of Computing
- School of Life Science and Technology
-
School of Environment and Society
- Department of Architecture and Building Engineering
- Department of Civil and Environmental Engineering
- Department of Transdisciplinary Science and Engineering
- Department of Social and Human Sciences
- Department of Innovation Science
- Graduate major in Technology and Innovation Management
- Common courses
- Liberal arts and basic science courses
- Academic unit or major
- Graduate major in Mechanical Engineering
- Instructor(s)
- Xiao Feng Aoki Takayuki
- Class Format
- Lecture (ZOOM)
- Media-enhanced courses
- Day/Period(Room No.)
- Thr5-6(I121)
- Group
- -
- Course number
- MEC.F431
- Credits
- 1
- Academic year
- 2020
- Offered quarter
- 2Q
- Syllabus updated
- 2020/9/18
- Lecture notes updated
- -
- Language used
- English
- Access Index
-
Course description and aims
Computational fluid dynamics is an essential and advanced tool to solve fluid mechanic problems in scientific and engineering researches. In this course, you will learn the numerical methods and stills to solve the governing equations of fluid mechanics, based on the basic knowledge of fluid mechanics and numerical analysis you have acquired in the undergraduate studies.
Student learning outcomes
The lectures will cover the fundamental numerical approaches to solve compressible and incompressible flows, as well as well other advanced topics. Students are expected to learn not only the knowledge about the numerical methods but also skills to develop computer codes through practice.
Keywords
Incompressible flow, compressible flow, numerical analysis, discretization scheme, finite difference method, finite volume method, computer simulation, programming
Competencies that will be developed
| ✔ Specialist skills | Intercultural skills | Communication skills | ✔ Critical thinking skills | ✔ Practical and/or problem-solving skills |
Class flow
We start with the governing equations of fluid mechanics, and then study discretization methods, discrete equations, typical solution methods of incompressible flows, and numerical methods for compressible flows which include TVD schemes and Riemann solvers. In addition, new developments in the field of computational fluid dynamics, such as multiphase flow simulation and high-performance computing will be also introduced.
Course schedule/Required learning
| Course schedule | Required learning | |
|---|---|---|
| Class 1 | Governing equation of fluid dynamics | Derivation and phsical interpretation of mathematical equations for fluid dynamics |
| Class 2 | Discretization methods (finite difference and finite volume methods, time-integration method), properties of discrete equations | Fundamentals of discretization methods |
| Class 3 | Numerical methods for incompressible flow (Mac，SIMPLE), Possion Solver, Multigrid Method | Semi-implicit Method for incompressible flow computation |
| Class 4 | Weakly compressible flow computation for incompressible flows, Lattice Boltzmann Method, SPH method | Explicit schemes for incompressible flows |
| Class 5 | The feature of compressible flow and the key aspects in numerical methods (Burgers equation, shock wave, conservatitve scheme) | Characteristics of compressible flow, shock wave, conservative schemes, TVD schemes |
| Class 6 | Numerical methods for compressible gas (Euler equations, Riemann solvers, high-resolution schemes) | Riemann solver, implementation of TVD schemes to gas dynamics |
| Class 7 | Numerical methods for interfacial multi-phase flows (One-fluid model, interface capturing methods, surface tension) | One-fluid model, interface capturing methods, surface tension |
Out-of-Class Study Time (Preparation and Review)
To enhance effective learning, students are encouraged to spend approximately 100 minutes preparing for class and another 100 minutes reviewing class content afterwards (including assignments) for each class.
They should do so by referring to textbooks and other course material.
Textbook(s)
To be annpounced
Reference books, course materials, etc.
1. 肖鋒，長崎孝夫：「数値流体解析の基礎 - Visual C++とgnuplotによる圧縮性・非圧縮性流体解析」，コロナ社，2020年(in Japanese)
2. Anderson, J.D., Computational Fluid Dynamics - The Basics with Applications; McGraw-Hill, Inc. 1995
3. Hirsch C., Volume 1&2, Numerical Computational of Internal and External Flows; John Wiley & Sons, 2001
4. Ferziger, J.H. and Peric, M., Computational Methods for Fluid Dynamics; Springer, 1999
Assessment criteria and methods
Learning achievement is evaluated by reports and excercises, and programing practice may be required in some cases.
Related courses
- MEC.F201 ： Fundamentals of Fluid Mechanics
- MEC.F211 ： Practical Fluid Mechanics
- MEC.F331 ： Advanced Fluid Mechanics
Prerequisites (i.e., required knowledge, skills, courses, etc.)
It is desirable to have the knowledge on fundamentals of thermo-fluid dynamics and numerical analysis
