Subject Datasheet

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I. Subject Specification

1. Basic Data
1.1 Title
Computational hydraulics
1.2 Code
BMEEOVVDT72
1.3 Type
Module with associated contact hours
1.4 Contact hours
Type Hours/week / (days)
Lecture 2
1.5 Evaluation
Exam
1.6 Credits
3
1.7 Coordinator
name Dr. Krámer Tamás
academic rank Professor
email kramer.tamas@emk.bme.hu
1.8 Department
Department of Hydraulic and Water Resources Engineering
1.9 Website
1.10 Language of instruction
hungarian
1.11 Curriculum requirements
Ph.D.
1.12 Prerequisites
1.13 Effective date
1 September 2022

2. Objectives and learning outcomes
2.1 Objectives
You will understand the basics of classical numerical methods for modelling the motion of water in hydraulic and environmental engineering problems. General topics: governing equations, discretisation, and criteria for judging the quality of various solvers (accuracy, stability). In the context of free-surface flows, we look at the finite difference, finite volume and finite element methods. The topics will be theoretical, considering practical applications but independent of software implementations. The course aims to be valuable to programmers and model users.
2.2 Learning outcomes
Upon successful completion of this subject, the student:
A. Knowledge
  1. You will understand the governing equations and numerical methods for solving flow and transport phenomena.
  2. You will be aware of the limitations and common difficulties in using different numerical methods in solving flow and transport problems
B. Skills
  1. You will be able to develop a simple algorithm for the solution of the advection equation
  2. You will be be confident in using computational hydraulics software to solve engineering problems
C. Attitudes
  1. You will learn how to
D. Autonomy and Responsibility
2.3 Methods
Weekly lectures, focusing on the theory. Questions will be given to be answered by email until the next class. Solution to these will be discussed on request at the beginning of the lecture.
2.4 Course outline
HétElőadások és gyakorlatok témaköre
1.Introduction
2.Governing equations.
3.Discretisation in space and time. Mesh types.
4.Basic properties of numerical solvers: convergence, stability, monotonicity, conservation
5.Principles of the finite difference method
6.Principles of the finite difference method -- continued
7.The finite difference method applied to the St Venant equations (1D)
8.The finite difference method applied to the St Venant equations (1D) -- continued
9.The finite difference method applied to the shallow water equations (2D)
10.The finite difference method applied to the Navier Stokes equations (3D)
11.Wave propagation and characteristics – the Riemann problem and its solution
12.Principles of the finite volume method for the shallow water equations
13.Principles of the finite element method for flow problems
14.Summary

The above programme is tentative and subject to changes due to calendar variations and other reasons specific to the actual semester. Consult the effective detailed course schedule of the course on the subject website.
2.5 Study materials
  1. Ferziger and Peric - Computational Fluid Dynamics
  2. J. Cunge-F. Holly-R. Verwey: Practical aspects of computational river hydraulics
  3. P. Novak, V. Guinot, A. Jeffrey, D.E. Reeve: Hydraulic modelling - an Introduction
  4. PPT slides
2.6 Other information
2.7 Consultation
This Subject Datasheet is valid for:
Inactive courses

II. Subject requirements

Assessment and evaluation of the learning outcomes
3.1 General rules
3.2 Assessment methods
Teljesítményértékelés neve (típus)JeleÉrtékelt tanulási eredmények

The dates of deadlines of assignments/homework can be found in the detailed course schedule on the subject’s website.
3.3 Evaluation system
JeleRészarány
Összesen100%
3.4 Requirements and validity of signature
3.5 Grading system
ÉrdemjegyPontszám (P)
jeles (5)
jó (4)
közepes (3)
elégséges (2)
elégtelen (1)
3.6 Retake and repeat
3.7 Estimated workload
TevékenységÓra/félév
Összesen
3.8 Effective date
1 September 2022
This Subject Datasheet is valid for:
Inactive courses