The overall aim of this project is to create robustly-validated digital twins for dynamics applications. This is urgently needed to overcome limitations in current industrial practice that increasingly rely on large computer-based models to make critical design and operational decisions for systems such as wind farms, nuclear power stations and aircraft.

The specific research objectives of the project are:

  • Design: specifically to create new design methodologies that can be applied to dynamic systems that lead to significant improvements in confidence based on digital twin concepts
  • Uncertainty management: to fully integrate quantification, propagation and management of uncertainty into the digital twin framework to radically improve the levels of trust available
  • Validation: to ensure that the digital twin framework can be robustly verified and validated

T

This project will empower industry with the ability to create digital twins as predictive tools for real-world problems that (i) improve design methodology leading to significant cost savings, and (ii) transform uncertainty management of key industrial assets, enabling a step change reduction in the associated operation and management costs. Ultimately, we envisage that the scientific advancements proposed here will revolutionise the engineering design-to-decommission cycle for a wide range of engineering applications of value to the UK.

This project will empower industry with the ability to create digital twins as predictive tools for real-world problems

null

Concept

null

Publications

null

Partners

null

People

Contact Us

We're not around right now. But you can send us an email and we'll get back to you, asap.

Not readable? Change text. captcha txt