MetaInfrastructure
the future of infrastructure
the future of infrastructure
We innovate for delivering the infrastructure of our future. We develop solutions for sustainable and resilient infrastructure that is equitable, just and underpin the United Nations SDGs and Net-Zero goals. We analyse exposure of new and ageing infrastructure to multiple natural, climate, and anthropogenic hazards. We deploy emerging digital technologies, such as Artificial Intelligence, Generative Design, IoT, and Virtual Reality, to enhance our approaches. Our methods integrate data analytics to inform decisions in complex infrastructure ecosystems, promoting inclusivity and co-development of green and blue infrastructure policies in the evolving Metaverse.
resilience of transport assets; monitoring-driven resilience of infrastructure; damage-free, zero-maintenance bridges, Eurocode expert
risk and resilience assessment of critical infrastructure and networks exposed to multiple hazards and climate change effects
computational methods and tools for advanced numerical methods and novel information technologies, structural and geotechnical
AI; big data; database and data warehouse integration; distributed systems; integrated systems and dataspaces; VR/AR
seismic risk assessment; geotechnical design; numerical and experimental modelling of geohazard effects
AI/ML; high-speed computational intelligence; neural-like structures; non-iterative training algorithms; ensemble models; meta learning and small data analysis
infrastructure vulnerability and risk assessment; loss estimation; multiple hazards; probabilistic engineering
sustainable constructions; LCA; building physics
heating, ventilation, and air conditioning; energy-saving buildings; European standards; resource-saving technologies
civil construction and urban transports and services;
effect of bridges on the origin and urban development of cities
strength and reliability; strengthening; retrofitting, material properties; probabilistic approaches; non-destructive methods
remote sensing; bridge-scour; risk assessment;, field monitoring; numerical modelling; floods; nearshore morphodynamics; estuarine and river environment;
wildfires prevention and management; Risk management; Geographic Information Systems and remote sensing; wildfires simulation and spatial resilience; spatial planning and climate change
structural reliability; uncertainty quantification; machine learning; bridge engineering
GIS and geospatial analysis; agent-based modelling; socio-economic and socio-spatial assessment; flood risk management
climate-resilience and sustainability; optimisation; transport infrastructure; adaptation
FEM; risk assessment and safety; low-carbon; energy efficiency; structural engineering; remote control
Seismic vulnerability assessment; fragility evaluation; civil engineering systems analysis.
integration of micro-mobility with the public transportation
seismic design; infrastructure resilience; Finite Element Modelling, Building Information Modelling (BIM)
resilience of transport hubs and network interoperabilities exposed to multiple hazards
(funded by TETFUND)
risk assessment of steel structures and community, critical industrial facilities
fragility analysis of infrastructure; multiple hazard assessment of bridges; retrofit prioritisation; machine learning
monitoring of transport infrastructure; rapid risk and resilience assessment with guided waves; strengthening; nano-materials