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School of Engineering
- Undergraduate major in Mechanical Engineering
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- Common courses
- School of Materials and Chemical Technology
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- 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
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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 Onishi Ryo
- Class Format
- Lecture
- Media-enhanced courses
- Day/Period(Room No.)
- Thr5-6()
- Group
- -
- Course number
- MEC.F431
- Credits
- 1
- Academic year
- 2021
- Offered quarter
- 1Q
- Syllabus updated
- 2021/3/19
- 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, turbulence model, parallel computing, 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 for compressible and incompressible flows. In addition, turbulence modeling with applications and new developments in the field of computational fluid dynamics, such as high-performance computing and large-scale simulation will be introduced as well.
Course schedule/Required learning
| Course schedule | Required learning | |
|---|---|---|
| Class 1 | Introduction, governing equations of fluid dynamics, fundamentals of discretization methods | Equations for fluid dynamics, discretization methods (finite difference, finite volume methods, time-integration method) |
| Class 2 | Properties of discrete equations, Numerical methods for compressible flow (fundamentals ) | Properties of discrete equations(consistency, stability, convergency), convservative scheme, TVD (total variation diminishing ) scheme |
| Class 3 | Numerical methods for compressible flow (applications) | Euler equations of compressible gas, Riemann solver, TVD schemes for gas dynamics |
| Class 4 | MAC and SMAC methods for incompressible flows | Pressure-projection based numerical methods for incompressible flows |
| Class 5 | Weakly compressible computational methods for for incompressible flows | Explicit schemes or iteration-free methods for incompressible flows |
| Class 6 | Turbulence modeling and environmental fluid simulation | Turbulence models(DNS/LES/RANS), numerical models and simulations for environmental flows |
| Class 7 | Parallel computing of environmental and engineering flows | Parallel computing, high performance computing, large scale simulations of environmental and engineering flows |
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. 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
