What is UQ&M?

Steering Board

Tony Hutton (Chair)

Sanjiv Sharma (Chair)

Ron Bates

Veronica Bowman

Matt Butchers

Francisco Alejandro Diaz la O

Steve Graham

Robert Leese

Cameron Mackay (TBC)

Lynne McGregor

Francesco Montomoli

Tony O'Hagan

Andrew Pike

Catherine Powell

Andy Richardson

David Standingford

Rhia Visavadia

Proffesor

Expert in Modeling and Simulation

Corperate Specialist - Robust Design

Principal Statistician, CBR Division

Knowledge Transfer Manager

Lecturer

Laboratory Fellow

Chief Executive

Mathematical Modeller

Lead Technologist (HVM)

Senior Lecturer

Emeritus Proffesor of Statistics

Senior Engineering Tools Scientist

Lecturer - Applied Mathematics

Head of Simulation

Director

Portfolio Manager: Manufacturing the Future

Airbus Operations Ltd.

Airbus UK

Rolls-Royce PLC.

Dstl

KTN

Inst. Risk & Uncertainty, Liverpool

National Nucleur Laboratory

Smith Institute

Unilever PLC.

Innovate UK

Imperial College London

 

GE / Alstom Power

University of Manchester

Jaguar Land Rover

Zenotech

EPSRC

 

Through the process of bringing a product from conception to commercialisation or operating complex processes, success rests on the careful management and control of risk in the case of many interacting uncertainties.

In HVM where models and simulation methods are concerned, these uncertainties are varied in nature and can be a result of:

  • parameter uncertainty,  the model is fed a set of deteministic values which do not capture the inherent variability of measurement systems
  • model uncertainties from assumptions the way in which the physical world is interpretted by mathematical models. 
  • unceratinties due to numerical solving errors the complexity of solving may nessitate numerical simplifications

As an example, designs obtained by deterministic models may become unfeasible when the uncertainties in the system parameters are considered, and where simplification in solving approaches are made further errors can be introduced. In short, there needs to be a transition from deterministic to stochastic thinking in design, analysis and manufacture