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TR

FLUID MECHANICS

Course
CVLE331 - FLUID MECHANICS
Department
Civil Engineering - English - Undergraduate
Course Type
Course
Status
Required
Language
English
Credit
4
ECTS
6
T+P+L
4 + 1 + 0
Course Coordinator(s)
Asst. Prof. Dr. Mehrnoush KOHANDEL GARGARI
Prerequisite
-
Keywords

Course Description

The aim of this course is to provide to the students basic fluid mechanics and fluid properties knowledge by using the basic principles of math and physics. Therefore, the students may use those in engineering applications. In the first chapter of the course, the basic engineering properties of the fluids especially the viscosity and the surface tension is provided and the example problems related to these properties are to be solved. In the second chapter, the hydrostatic pressure and the hydrostatic pressure force on a plane and curved surfaces are conducted. In the third and the fourth chapters, the applications of basic motion laws on fluid mechanics, conservation of mass, momentum and energy laws are conducted. In the last chapter of the course, dimensional analysis, dimensionless numbers and modelling topics are conducted. This course is to be planned as the fundamental course for the students for their engineering application courses that they will take afterwards.

FLUID MECHANICS

Evaluation Tools (Active Term)

Item Type Weight (%)
Midterm Midterm 30
Assignment Assignment 30
Final Final 40
Total 100

Course outcomes

No course outcomes have been defined yet.

Course Syllabus

Week Topic
Week 1 Introduction to Water Resources Engineering Role of water in engineering systems, hydrologic cycle, unique characteristics of water, water as an economic and common-pool resource.
Week 2 Water resources and water use concepts Demand, use, consumption, withdrawal vs non-withdrawal uses, consumptive vs non-consumptive use, return flows and water losses at different scales.
Week 3 Global and regional water challenges Water scarcity and stress, climate–water interactions, water security, SDG 6, water as a source of cooperation and conflict.
Week 4 Hydrologic cycle and catchment concepts Hydrologic processes, drainage basins and watersheds, atmospheric circulation, water balance (hydrologic budget).
Week 5 Precipitation processes and measurement Rainfall formation mechanisms, rainfall measurement methods, rain gauge networks, spatial variability of rainfall.
Week 6 Areal rainfall analysis Arithmetic mean, Thiessen polygon, and isohyetal methods; depth–area and depth–area–duration (DAD) relationships.
Week 7 Extreme precipitation and design storms Intensity–Duration–Frequency (IDF) curves, return period concepts, Probable Maximum Precipitation (PMP) and Probable Maximum Flood (PMF).
Week 8 Midterm Exams
Week 9 Evaporation and evapotranspiration Physical processes, controlling factors, evaporation estimation methods, evaporation pans, potential vs actual evapotranspiration.
Week 10 Infiltration processes Infiltration concepts, Horton model, Green–Ampt model, φ-index and W-index, initial abstraction.
Week 11 Runoff generation and rainfall–runoff modeling Runoff mechanisms, factors affecting runoff, SCS Curve Number method, Rational method.
Week 12 Hydrographs and watershed response Streamflow hydrographs, components, baseflow separation methods, direct runoff hydrograph.
Week 13 Unit hydrograph theory Derivation of unit hydrographs, assumptions, SCS unit hydrograph, application in flood estimation.
Week 14 Flood frequency analysis and design floods Probability concepts, frequency distributions, Gumbel and Log-Pearson Type III, selection of design return periods.
Week 15 FINAL EXAM

Reference Books & Course Materials

  1. 01 Mays, L. W. (2010). Water Resources Engineering. Wiley
  2. 02 Savenije, H. H. G., & van der Zaag, P. (2008). Water Resources Management: Concepts and Tools. CRC Press.

Learning Outcomes

  1. L01 Identify fundamental fluid properties and their effects on fluid behavior. SOLO 2
  2. L02 Apply dimensional analysis and dimensionless parameters in fluid mechanics. SOLO 3
  3. L03 Apply Newton’s law of viscosity to fluid behavior under shear. SOLO 3
  4. L04 Analyze static fluids, including pressure, manometry, hydrostatic forces, and buoyancy. SOLO 4
  5. L05 Describe fluid motion using kinematic concepts and flow classification. SOLO 3
  6. L06 Apply continuity, momentum, and energy principles to fluid-flow problems. SOLO 4

Program Outcomes

  1. P01 Knowledge of mathematics, natural sciences, basic engineering, computer-based computation, and topics specific to the relevant engineering discipline.
  2. P02 Ability to apply knowledge of mathematics, natural sciences, basic engineering, computer-based computation, and topics specific to the relevant engineering discipline to the solution of complex engineering problems.
  3. P03 Ability to define complex engineering problems by using knowledge of basic sciences, mathematics, and engineering, while considering the relevant United Nations Sustainable Development Goals (SDGs) related to the problem addressed.
  4. P04 Ability to formulate complex engineering problems using knowledge of basic sciences, mathematics, and engineering, while considering the relevant United Nations Sustainable Development Goals (SDGs) associated with the problem addressed.
  5. P05 Ability to analyse and solve complex engineering problems using knowledge of basic sciences, mathematics, and engineering, while considering the relevant United Nations Sustainable Development Goals (SDGs) associated with the problem addressed.
  6. P06 Ability to design creative solutions to complex engineering problems.
  7. P07 Ability to design complex systems, processes, devices, or products in a way that meets present and future needs while considering realistic constraints and conditions.
  8. P08 Ability to select and use appropriate techniques and resources—including estimation and modelling—for the analysis and solution of complex engineering problems, while being aware of their limitations.
  9. P09 Ability to select and use modern engineering and computational tools—including estimation and modelling—for the analysis and solution of complex engineering problems, while being aware of their limitations.
  10. P10 Ability to conduct literature research and use appropriate research methods for the investigation of complex engineering problems.
  11. P11 Ability to design experiments for the investigation of complex engineering problems.
  12. P12 Ability to conduct experiments, collect data, analyse results, and interpret findings for the investigation of complex engineering problems.
  13. P13 Knowledge of the impacts of engineering practices on society, health and safety, the economy, sustainability, and the environment within the framework of the United Nations Sustainable Development Goals (SDGs).
  14. P14 Awareness of the legal implications of engineering solutions within the framework of the United Nations Sustainable Development Goals (SDGs).
  15. P15 Knowledge of ethical responsibility and adherence to the principles of professional engineering conduct.
  16. P16 Awareness of acting impartially without discrimination in any matter and of being inclusive of diversity.
  17. P17 Ability to work effectively as an individual.
  18. P18 Ability to work effectively as a team member or leader in intra-disciplinary teams (face-to-face, remote, or hybrid).
  19. P19 Ability to work effectively as a team member or leader in multidisciplinary teams (face-to-face, remote, or hybrid).
  20. P20 Ability to communicate effectively in spoken form on technical matters, taking into account the diverse characteristics of the target audience (such as education, language, and profession).
  21. P21 Ability to communicate effectively in written form on technical matters, taking into account the diverse characteristics of the target audience (such as education, language, and profession).
  22. P22 Knowledge of professional practices such as project management and economic feasibility analysis.
  23. P23 Awareness of entrepreneurship and innovation.
  24. P24 Ability for independent and lifelong learning.
  25. P25 Ability to adapt to new and emerging technologies.
  26. P26 Lifelong learning ability that includes the capacity to think critically about technological changes.

Po-Lo Matrix

LO P01 P02 P03 P04 P05 P06 P07 P08 P09 P10 P11 P12 P13 P14 P15 P16 P17 P18 P19 P20 P21 P22 P23 P24 P25 P26 Average
L01 5 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.38
L02 0 5 0 5 5 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.77
L03 5 5 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.58
L04 0 5 0 5 5 0 0 5 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.96
L05 5 5 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.58
L06 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0