Short course/CPD
Validation and Verification for Credible CFD
Course date: Please enquire
Course overview
CFD is a cost effective computational tool for analysis and investigation in a wide variety of applications including engineering, industrial, environmental and biological flows. The continual rapid growth of commercial CFD packages and computer power has made the technology accessible to almost all levels of engineering. Despite this rapid growth in the ease of use, speed and robustness of the tool, considerable expertise is still required to ensure that accurate simulations are achieved.
The course reviews sources of error and uncertainty within the CFD solution process and presents strategies for understanding, quantifying and controlling their impact. The principles and practical importance of code and solution verification, and simulation validation, are considered through a series of case studies.
Location
Cranfield University is located at the very heart of the UK – within the innovation triangle between London and the cities of Oxford and Cambridge.
Our central location provides easy access from the M1, excellent main line rail service as well as proximity to key international airports. Set in rolling countryside, Cranfield offers a rich, rural landscape complemented by thriving towns and picturesque villages.
- Road: We are just 10 minutes from Junctions 13 & 14 of the M1 motorway. There is free parking on campus.
- Rail: Milton Keynes or Bedford
- Air: London Luton (22 miles), Heathrow (50 miles) or Birmingham (70 miles).
Course fee:
£400
Speakers
For further information about this course, please contact:
Dr Ben Thornber
T: +44 (0) 1234 754624
E: b.j.r.thornber@cranfield.ac.uk
How to register
Further information
For more information on this course or booking details please contact:
Academic Operations Unit
T: + 44 (0) 1234 754192
E: shortcourse@cranfield.ac.uk
Course description
Who should attend
This course is ideal for:
- engineers/scientists running and analysing CFD simulations
- engineers/scientists responsible for making decisions based on CFD results
- managers who want to enforce a strict quality assurance methodology as part of their CFD process.
Benefits
Upon completion of the course you will be able to:
- discriminate between error and uncertainty in computational simulations
- recognise potential sources of error and uncertainty
- employ tools to quantify error and uncertainty.
Upon return to the sponsoring organisation the candidate will be able to plan and perform credible computational simulations, addressing in a quantifiable manner the error and uncertainties present in the simulation. The ability to specify clearly the computational errors is often as valuable, if not more valuable, than the solution itself.
Topics
The course features lectures on Consistency, Stability and Convergence; Taxonomies of Error and Uncertainty; Principles of Code Verification; Introduction to Manufactured Solutions; Principle of Solution Verification; Role of Systematic Grid Convergence Studies.
