Computational Fluid Dynamics for the Built Environment

Code

ABEE3030

School

Department of Architecture and Built Environment

Level

3

Credits

10

Semesters

Autumn China

Summary

The main theme of this module is to provide students with an introduction to Computational Fluid Dynamics (CFD) with content pitched at a level of little assumed knowledge. CFD is a mathematically sophisticated discipline, the aim of the module is therefore to provide simple descriptions of fundamental CFD theories, basic CFD techniques, and practical guidelines. The module is also to familiarize students with standard commercial packages.

Target Students

BEng Architectural Environmental Engineering Year 3 students

Classes

• One 1-hour tutorial each week for 4 weeks
• One 2-hour lecture each week for 12 weeks

Assessment

• 35% Coursework 1: 2000 word report
• 35% Coursework 2
• 30% Coursework 3

Assessed by end of autumn semester

Educational Aims

Learning Outcomes

On successful completion of this module, students will demonstrate:
• An understanding of the governing equation of fluids and the underlying physics/mathematics
• An understanding of the principles of numerical method as a robust solution alternative for complex fluid problems
• The ability to perform justified steps in converting a continuous space to a discrete form.
• The ability to select suitable CFD steps in setting up and analysing a wide range of built environment problems

Students should have practiced their transferable skills, including:
• General research techniques
• Collection, manipulation and analysis of data
• IT literacy
• Report writing

This module supports the following Engineering Council learning outcomes - supporting students to:
M1    Apply a comprehensive knowledge of mathematics, statistics, natural science and engineering principles to the solution of complex problems. Much of the knowledge will be at the forefront of the particular subject of study and informed by a critical awareness of new developments and the wider context of engineering
M2    Formulate and analyse complex problems to reach substantiated conclusions. This will involve evaluating available data using first principles of mathematics, statistics, natural science and engineering principles, and using engineering judgment to work with information that may be uncertain or incomplete, discussing the limitations of the techniques employed
M3    Select and apply appropriate computational and analytical techniques to model complex problems, discussing the limitations of the techniques employed
M4    Select and critically evaluate technical literature and other sources of information to solve complex problems
M5    Design solutions for complex problems that evidence some originality and meet a combination of societal, user, business and customer needs as appropriate. This will involve consideration of applicable health & safety, diversity, inclusion, cultural, societal, environmental and commercial matters, codes of practice and industry standards
M6    Apply an integrated or systems approach to the solution of complex problems
M7    Evaluate the environmental and societal impact of solutions to complex problems (to include the entire life-cycle of a product or process) and minimise adverse impacts
M11    Adopt an inclusive approach to engineering practice and recognise the responsibilities, benefits and importance of supporting equality, diversity and inclusion
M13    Select and apply appropriate materials, equipment, engineering technologies and processes, recognising their limitations
M16    Function effectively as an individual, and as a member or leader of a team. Evaluate effectiveness of own and team performance 
M17    Communicate effectively on complex engineering matters with technical and non-technical audiences, evaluating the effectiveness of the methods used
M18    Plan and record self-learning and development as the foundation for lifelong learning/CPD.

The module also contributes to C1, C2, C3, C4, C5, C6, C7, C11, C13, C16, C17, C18.

Conveners

• Dr Isaac Yu Fat Lun