This project will:
- Assess the maturity of asset degradation modelling across three asset classifications (ie Geotechnical, Structures and Drainage assets).
- Compare and contrast approaches to generating, collecting and managing asset data.
- Enable cross-sector asset owners and operators to share information and identify cross-cutting asset management topics which require further work.
- Provide an environment that cultivates opportunities for improving infrastructure asset management.
Predictive modelling of asset deterioration and degradation is a maturing field and progressively, with good data and engineering judgement, can contribute to smarter infrastructure asset management and infrastructure investment prioritisation.
The economic climate in the UK coupled with environmental risks, interdependencies and the need to ensure critical and local infrastructure assets are resilient mean asset degradation models and associated decision-support tools at operational, tactical and strategic levels are being developed to aid owners of infrastructure assets (particularly those with a large portfolio) to understand better their network-wide vulnerabilities. Progressively these models and tools are being used to help ascertain asset interventions and build the case for investment prioritisation, in line with overarching policies and strategies.
For those involved in developing these models and tools, it is invaluable to understand the challenges others may be facing in developing and using asset degradation models to inform decision-making on asset interventions. It is similarly invaluable to ascertain the levels of maturity across the energy; telecommunications, transport and water sectors in order to define common issues, challenges and opportunities to improve operational practices.
A programme of evidence gathering activities including an online survey; interviews, workshops and a desk-study on the subject of asset deterioration and degradation modelling. This will be delivered in a systematic way to enable cross-sector organisations to assess the maturity of others developing asset degradation models; and compare and contrast approaches to using available data to refine models.