Smart Infrastructure
Bridge, roadway, and utility network monitoring with predictive maintenance insights.
The Digital Twin Center develops synchronized virtual replicas of physical systems for prediction, diagnostics, optimization, and informed decision support.
The Digital Twin Center integrates sensing, AI, and simulation engines to build dynamic models of infrastructure and engineered systems. These twins support continuous situational awareness and proactive lifecycle management.
From instrumentation to analytics, the center follows a structured flow to ensure model quality and actionable outputs.
Capture from sensors, inspections, and operational records.
Build geometric, physical, and AI-enhanced behavior models.
Continuously update state estimates from incoming field data.
Run forecasts and what-if scenarios to support planning and operations.
Bridge, roadway, and utility network monitoring with predictive maintenance insights.
Energy and building performance optimization using operational digital replicas.
Simulation-assisted planning for connected mobility and traffic resilience.
Rapid scenario analysis for disruptions, stress events, and contingency planning.
The center enables data-informed decision support, lower operational risk, better asset performance, and stronger interdisciplinary education through realistic system-level experimentation.
Ask about digital twin workflow, applications, outcomes, or collaboration options.