Transport, Mobility and Cities

Resilience

The efficient performance of our critical infrastructure and its complex systems is vital to modern society, particularly in the transport, energy production and distribution, utilities and communications sectors. We are dedicated to conducting research into developing modelling techniques to predict ways of improving the design, maintenance, and operation of engineering systems in order to reduce the frequency and consequences of failure.

Research also focuses on improving the resilience of engineering systems to a broad range of disruptive events – from hazardous system failures, to natural and man-made disasters – ensuring adequate defences against their consequences, management of the disruptive event, and the rapid restoration of system functionality.

We also broaden the scope of the disruptive events from system failures to include natural disasters and terrorist activity. In addition, the defences against their consequences are extended to include the management of the disruptive event and the rapid restoration of the system functionality.

Theme Leads

johnandrews

Professor John Andrews

Resilience Engineering, Faculty of Enginering

 
Dr Rasa Remenyte-Prescott

Dr Rasa Remenyte-Prescott

Resilience Engineering, Faculty of Engineering

 
 

 

Capabilities

  • Whole life infrastructure asset management and planning
  • Transport resilience to natural hazards and man made threats
  • Safety risk modelling, uncertainty, quantification and humans
  • Resilience and recovery modelling
  • Resilient stakeholders (emergency services and transport operators)
  • Increasing complexity, dealing with uncertainty and changing circumstances
  • System interdependency – energy, water and telecoms

Read our TMC capability statement (PDF) to find out more

 

 

Collaborations

  • Human Factors Research Group
  • Nottingham Geospatial Institute
  • Centre for Structural Engineering

Example Project: Strategic University Partnership with Network Rail/involvement in the In2Rail H2020 Project

Development of new asset management modelling framework showing the models and data slow required to predict infrastructure performance, whole life costs, safety and service reliability on a whole system, whole life basis. This is now the adopted approach across the whole of the Shift2Rail EU programme.

 

 

Transport, Mobility and Cities

Faculty of Engineering
The University of Nottingham
Jubilee Campus
Nottingham, NG7 2RD


email: tmc@nottingham.ac.uk