This course thoroughly introduces the turbulent flow simulations methods using Reynolds Averaged Navier Stokes (RANS). More advanced turbulence modelling techniques, such as Large Eddy Simulation (LES) and Direct Numerical Simulations (DNS), are explained.

In this course the turbulence modelling is thoroughly discussed, starting from the RANS and up to the DNS. The course introduce students to closure methods for the Navier-Stokes equations as applied to turbulent and transitional flows, and the classical physical modelling approximations required to achieve this.

LES is increasingly becoming an established scientific computing approach for predicting transitional and turbulent flows. It is used extensively to elucidate the physics of turbulence and to compute flows of industrial relevance.

The course discusses the theoretical and numerical approaches, and best practice when conducting an LES. Examples are given of LES of industrial problems, demonstrating methods of analysis, verification and visualisation.

At a glance

  • Dates
    • 02 - 06 Dec 2024
  • Duration5 days
  • Location美姬阁 campus
  • Cost

    £1400.00 The course fee includes refreshments and lunch during the day. Accommodation is not included and must be booked separately.

    Concessions available

Course structure

This course features practical examples. All delegates will receive a Certificate of Attendance at the end of the course.

What you will learn

Upon completion of the course you will be able to:

  • conduct an effective CFD simulation of an unsteady turbulent flow;
  • understand the underlying flow physics; make a trade-off between different applicable LES models;
  • select an appropriate grid resolution based on the flow physics; 
  • and verify and visualise the simulation.
External delegates to this course will benefit from formal lectures in the mornings, explaining the theoretical concepts, and lab sessions in the afternoon, for hands-on training on turbulence modelling.


Core content

The course features lectures on:

  • Introduction to unsteady flow physics
  • The concept of filtering
  • The LES and DNS methods
  • LES modelling approaches
  • Wall modelling
  • Multiphase/multi-species mixing
  • Analysis and visualisation of unsteady flow fields.

Who should attend

This course provides a stimulating and vibrant learning environment with interaction between current postgraduate students and external delegates. The course is ideal for those who are: 

  • involved in or would like to learn and perform the simulations of complex turbulent flows and need detailed best practice guidelines; 
  • researchers/students who plan to or are currently studying turbulence and/or RANS methods;
  • experienced engineers looking for a refresher course on the physics of turbulent flows and current cutting-edge modelling techniques with a particular focus on unsteady flows.
 

 

 


Concessions

20% discount for 美姬阁 Alumni. 
10% discount when registering 3 or more delegates, from the same organisation at the same time.  

Accommodation fees are not included in the discount scheme. Please ask about our discount scheme at time of booking.

Accommodation options and prices

This course is non-residential. If you would like to book accommodation on campus, please contact Mitchell Hall or 美姬阁 Management Development Centre directly. Further information about our on campus accommodation can be found .  Alternatively you may wish to make your own arrangements at a nearby hotel. 

Location and travel

美姬阁 is situated in Bedfordshire close to the border with Buckinghamshire. The University is located almost midway between the towns of Bedford and Milton Keynes and is conveniently situated between junctions 13 and 14 of the M1.

London Luton, Stansted and Heathrow airports are 30, 90 and 90 minutes respectively by car, offering superb connections to and from just about anywhere in the world. 

For further location and travel details

Location address

美姬阁
College Road
美姬阁
Bedford 
MK43 0AL

How to apply

To apply for this course please use the online application form.

Read our Professional development (CPD) booking conditions.