CE 429/529 – Computational Hydraulics
Department of Civil Engineering and Engineering Mechanics
Instructor:
Dr. Jennifer G. Duan, P.E. (gduan@email.arizona.edu)
Room 324E, Civil Engineering Building, 1209 E. 2nd Street.
Voice: 626-5946
Office Hours: Thursdays from 9:30-11:00am at CE 201
Textbook:
Chapter 4 and 5 in “An Introduction to Computational Fluid Dynamics: The
Finite Volume Method” by H.K. Versteeg and W. Malalasekera, 1995.
Reference book: Computational River Morphodynamics by Weiming Wu, 2007.
Prerequisite: CE 218 and CE 323
Website: https://d2l.arizona.edu (follow instructions to the CE429/529 site)
Computer models have been widely adapted in all aspects of water resource
engineering. Engineers as proactive users of software must possess fundamental
knowledge in engineering computing. This course is designed to teach computing in
engineering through its application in hydraulic engineering. The content covers basic
programming skills using Visual Studio.Net Fortran language, numerical approximation
illustrated by the finite element method, and pre- and post-processing for computer
models. Fortran programming language will be used for classroom demonstration and
project assignment. This trial course intends to provide students hand-on experience of
developing and applying computer models by using an ongoing project, such as the
Mississippi River, the Rillito River. Students are expected to understand the basis of
numerical methods and gain skills in programming and performing analysis of modeling
results.
Specific topics included in the content are listed as follows,
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Fortran programming: data type and structures, data import and export, control
statements, functions, subroutine, module and objects.
Finite volume method for diffusion problem: governing equations, discretised
equations, finite volume method for 1D and 2D steady flow diffusion problem.
Finite volume method for convection and diffusion problem: steady 1D
convection and diffusion equation, central difference scheme, discretisation schemes,
upwinding, power-law, and QUICK scheme.
Pre-processing of input data: geometrical data, two-dimensional grid, boundary
conditions, base flow.
Visualization of modeling results: post-processing modeling results, scalar and
vector representations, particle tracking, GIS-mapping.
The course consists roughly 50% lecture notes covering basic concepts and 50%
computer programming practice. Students are required to complete seven homework
assignments and two projects and two take-home exams.
GRADING
Final grades are based on homework assignments at 15%, two projects at 15% each,
one midterm exam at 25%, and a final exam at 30%. Letter grades will be assigned as
follows: A (>90%), B (80-89.9%), C (70-79.9%), D (60-69.9%), and E (< 60%).