What is Asset Management?
Asset Management provides a framework for optimising and implementing major decisions on the operation, maintenance, renewal and enhancement of assets to deliver a safe, economic infrastructure.
Effective asset management
Requires a comprehensive understanding of degradation and failure mechanisms which underpin the linking of engineering interventions.
- Expertise in modelling the response of highway and rail track structures
- Integration of complex material behaviour
- Detailed understanding of traffic loading conditions
- Accelerated large-scale testing facilities for pavement and rail track structures
- Computer-based tool for predicting realistic long-term pavement performance due to traffic and environmental loading
- Expertise in pavement and rail track evaluation techniques and maintenance management methodologies
- Novel methods of processing condition data for improved pavement health assessment
- Pavement sensing and optimisation of maintainance strategies
Highway Asset Management
Our main activity in Highway Asset Management concern the improved analysis of road pavement condition data and methods for measuring condition. This work also relates to our activities on Sustainability and Environment, and Risk and Reliability.
The influence of pavement stiffness on vehicle fuel consumption
Automated Road Pavements
Railway Infrastructure Asset Management
Most of the work in this area is done through the Centre for Risk and Reliability Engineering, and the People involved are the members of this group.
The Nottingham Transportation Engineering Centre, Network Rail and The Royal Academy of Engineering have set up a research capability in Infrastructure Asset Management.
We aim to produce models which predict the deterioration mechanisms and rates for the diverse range of assets which make up a modern railway system. These include the track, signalling systems, electrification systems, and communications systems, in addition to the civil structures such as bridges, tunnels and earthworks. Once the asset deterioration processes are understood, models can be produced which integrate the degradation with the effects of the possible interventions. By embedding the resulting asset state models into an optimisation framework the selection of intervention activities and the time at which they are performed can be predicted with a view to minimise whole life costs.