COURSE INFORMATION
Course Title: COMPUTATIONAL FLUID DYNAMICS
Code Course Type Regular Semester Theory Practice Lab Credits ECTS
CE 525 C 3 3 0 0 3 7.5
Academic staff member responsible for the design of the course syllabus (name, surname, academic title/scientific degree, email address and signature) NA
Lecturer (name, surname, academic title/scientific degree, email address and signature) and Office Hours: Mirjam Ndini
Second Lecturer(s) (name, surname, academic title/scientific degree, email address and signature) and Office Hours: NA
Teaching Assistant(s) and Office Hours: NA
Language: English
Compulsory/Elective: Elective
Classroom and Meeting Time:
Course Description: -
Course Objectives: The main objective of this course is to provide foundations for understanding the numerical methods on CFD and to familiarize with them with hands-on experience. At the end of this course, the student will learn and evaluate how applications of various numerical schemes are used to illustrate the different aspects of CFD; will improve the understanding of the limitations and advantages of CFD; will discover why CFD is the tool for fluid flow numerical modeling and simulation.
COURSE OUTLINE
Week Topics
1 Problem statement information about the flow .
2 Basics of Computational Fluid Dynamics. Concept of Computational Fluid Dynamics. Importance of Computational Fluid Dynamics
3 Applications of Computational Fluid Dynamics.Physics of Fluid
4 Navier-Stokes Equations i.Three Conservation Law ii.Navier-Stokes Equation iii.General Form of Navier-Stokes Equation
5 Discretization i.Typical discretization methods ii.Finite Volume Method
6 Grids . Boundary conditions
7 Turbulence Modeling.
8 Background on the Computational Fluid Dynamics (CFD) codes and software
9 CFD software components and process
10 Use of Computational Fluid Dynamics (CFD) in Civil Engineering
11 case study
12 case study
13 case study
14 Presentations and Discussion
Prerequisite(s): 341 Fluid mechanics 342 Hydromechanics
Textbook: Anderson, John D. (1995). Computational Fluid Dynamics: The Basics with Applications. Science/Engineering/Math. McGraw-Hill Science.
Other References: CFD for Hydraulic structure. Nils Reidar B. Olsen; 2001
Laboratory Work:
Computer Usage:
Others: No
COURSE LEARNING OUTCOMES
1 To provide foundations for understanding the numerical methods on CFD
2 To familiarize with them with hands-on experience.
3 The student will learn and evaluate how applications of various numerical schemes are used to illustrate the different aspects of CFD;
4 will improve the understanding of the limitations and advantages of CFD;
5 will discover why CFD is the tool for fluid flow numerical modeling and simulation.
6 To give an insight into flow patterns that are difficult, expensive or impossible to study using traditional (experimental) techniques
COURSE CONTRIBUTION TO... PROGRAM COMPETENCIES
(Blank : no contribution, 1: least contribution ... 5: highest contribution)
No Program Competencies Cont.
MSc in Civil Engineering Program
1 an ability to apply knowledge of mathematics, science, and engineering 5
2 an ability to design a system, component, or process to meet desired needs 4
3 an ability to function on multidisciplinary teams 2
4 an ability to identify, formulate, and solve engineering problems 4
5 an understanding of professional and ethical responsibility 3
6 an ability to communicate effectively 3
7 the broad education necessary to understand the impact of engineering solutions in a global and societal context 4
8 a recognition of the need for, and an ability to engage in life long learning 4
9 a knowledge of contemporary issues 4
10 an ability to use the techniques, skills, and modern engineering tools necessary for engineering practice 4
11 skills in project management and recognition of international standards and methodologies 2
COURSE EVALUATION METHOD
Method Quantity Percentage
Project
1
20
Case Study
1
20
Term Paper
1
20
Final Exam
1
30
Attendance
10
Total Percent: 100%
ECTS (ALLOCATED BASED ON STUDENT WORKLOAD)
Activities Quantity Duration(Hours) Total Workload(Hours)
Course Duration (Including the exam week: 16x Total course hours) 16 3 48
Hours for off-the-classroom study (Pre-study, practice) 16 5 80
Mid-terms 0
Assignments 0
Final examination 1 2.5 2.5
Other 3 19 57
Total Work Load:
187.5
Total Work Load/25(h):
7.5
ECTS Credit of the Course:
7.5