The Center for Integrated Asset Management for Multimodal Transportation Infrastructure Systems (CIAMTIS) has selected 15 research projects for the years 2020 to 2021.
The competitive projects were selected from 28 proposals submitted by members of the UTC consortium, which is led by Penn State. The consortium includes George Mason University, Lehigh University, Morgan State University, University of Delaware, Virginia Tech and West Virginia University. The research teams will examine a host of transportation topics and issues as they relate to bridges, pavements, rail and transit.
The selected projects are:
- "Decision Support Tools for Multi-Objective, Multi-Asset, Multi-Modal Joint Maintenance Programming"
- "Durability Assessment of Externally Bonded Fiber-Reinforced Polymer Composite Repairs in Bridge"
- "Extending the Service Life of Rigid Pavement Joints with Self-Healing Sealants"
- "Passive Strain Sensing Based on Changes in Retro Reflectivity"
- "Price Discovery for Strategic Compensation of Toll Road Operators to Relieve State Maintenance Impacts"
- "Smart Mobile Platform for Model Updating and Life Cycle Assessment of Bridges"
- "AI-Enabled Fiscally Fonstrained Life-Cycle Asset Management for Infrastructure Systems"
- "Artificial Intelligence for Advance Landslide Warning along Railroad Tracks in Pennsylvania and Delaware"
- "Developing Design Specifications to Ensure Long-Life Skid Resistant Concrete Pavements"
- "Developing Equivalence Tools to Control Quality of Transportation Infrastructure Asset Management Data"
- "Development of A Turnout Rail Break Warning System Based on Distributed Optical Fiber Sensing Technologies"
- "Evaluation of IoT-Enabled Pavement Response Monitoring for Transportation System Management"
- "Integration of Traffic and Structural Health Monitoring on the Varina-Enon Bridge via Sensor Fusion"
- "Unmanned Aerial Vehicles for Inspection of Tack Coats and Ancillary Highway Structures"
- "Preparing the Next Generation of Undergraduate and Graduate Engineers in Autonomous Robotic System for Damage Detection"
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