IMPACT
IMproving flood disruPted road networks with a dynAmic people-Centric digital Twins
Resilience
Infrastructure systems need to be able to withstand and recover from disruptions, whether caused by natural disasters, cyberattacks, or other unforeseen events. Resilience is key in our world’s increasing needs to be adaptable and recover quickly. DAFNI has worked with collaborators on forecasting resilience of railway networks and exploring the resilience of the UK aviation system during mass diversion events.
Resilience Projects
MARS
MARS (Modelling Aviation Resilience Scenarios) is a project led by Dr Fabian Steinmann from Cranfield University along with Dr Irene Moulitsas and Dr Desmond Bisandu from Cranfield University.
NIRD CoE
Building systemic resilience of interdependent infrastructure networks at the national scale
Pywr-WREW CoE
Pywr-WREW, a water resources model for England and Wales built in Python water resources simulation system
SCQUAIR
Small Changes, QUANT and AI Resilience
STORMS CoE
Buried infrastructure, like cables and pipes, are vulnerable to meteorological shocks or extreme weather events, such as floods and droughts.
WSL
Water Systems Leakage
USARIS CoE
Uncertainty quantification and sensitivity analysis for resilient infrastructure systems
Other Research Areas
Professor Liz Varga, UCL
Project name: Infrastructure Research Ontologies
The project includes seven work packages as outlined below and will culminate in the development of an ontology for infrastructure research, the absence of which is seen as a challenge to DAFNI’s sustainability.
Watch her video introduction. Access the slides here – the link will open a PDF document.