Computational Fluid Dynamics for the Built Environment
| Code | School | Level | Credits | Semesters |
| ABEE3037 | Architecture and Built Environment | 3 | 10 | Autumn UK |
- Code
- ABEE3037
- School
- Architecture and Built Environment
- Level
- 3
- Credits
- 10
- Semesters
- Autumn UK
Summary
This module will introduce the techniques and procedures employed in Computational Fluid Dynamics (CFD). Particular attention will be given to development of hands on experience in the numerical modelling of fluid flows for the built environment. CFD, once the domain of academics, postdoctoral researchers or trained specialists, is becoming progressively more accessible to graduate engineers for research and development as well as design-orientated tasks in the built environment. Mastery of CFD in handling complex flow and heat problems is becoming ever more important. Students will be introduced to the necessary operations that are involved in setting up a fluid problem, solving the numerical problem, and managing some graphical representation of the results.
Target Students
BEng/ MEng Architectural Environment Engineering students; U6UAAEENG (Year 3); U6UAEENGY (Year 4); U7UAEENG (Year 3); U7UAEENGY (Year 3); U7UAEENGY1 (Year 4); (K240, K24B, K241, K24A, K24D).
Assessment
- 20% Coursework 1: Report - word count as per the assessment brief.
- 80% Coursework 2: Report - word count as per the assessment brief.
Assessed by end of autumn semester
Educational Aims
This module aims 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 to understand descriptions of fundamental fluid dynamics, basic finite volume technique, and practical guidelines for built environment. It aims to familiarise students with standard commercial packagesLearning 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