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Project 1.21:Efficient and Cost-effective Rating of Critical Members of Steel Truss Railroad Bridges Supported by Field Test Data

Efficient and Cost-effective Rating of Critical Members of Steel Truss Railroad Bridges Supported by Field Test Data Project 1.21 Project Summary With the current rate of infrastructure aging, the railroad bridges have been placed in the second plan for immediate replacement. However, highway and energy resources have shown a great need for prioritized capital investment. […]

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Project 1.22: Machine Learning Enabled Information Fusion of Heterogeneous Sensing for Infrastructure Monitoring

Machine Learning Enabled Information Fusion of Heterogeneous Sensing for Infrastructure Monitoring Project 1.22 Project Summary In this proposed research, we plan to develop a framework for machine learning enabled information fusion of heterogeneous sensing for infrastructure health monitoring. Traditionally, off-the-shelf sensors such as accelerometers and strain gages have been used to collect real-time measurements of […]

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Project 1.23: Wireless Joint Monitoring for Large Movement Expansion Joints for Highway Bridge Resilience

Wireless Joint Monitoring for Large Movement Expansion Joints for Highway Bridge Resilience Project 1.23 Project Summary The primary objective of the proposed engineering project is to monitor a large movement expansion joint of a multi-span highway bridge using the developed real-time wireless sensor system from the previous project. This project will upgrade the current wireless […]

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Project C21.2022: Prediction and Prevention of Bridge Performance Degradation due to Corrosion, Material Loss, and Micro-structural Changes.

Prediction and Prevention of Bridge Performance Degradation due to Corrosion, Material Loss, and Micro-structural Changes Project C21.2022 Project Summary The proposed research merges a materials science and engineering approach to corrosion science with structural engineering approaches to bridge inspection and assessment to generate and implement a corrosion prediction model for bridge inspection and asset management […]

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Project 1.20: Monitoring Rail Bed Infrastructure Using Wireless Passive Sensing

Monitoring Rail Bed Infrastructure Using Wireless Passive Sensing Project 1.20 Project Summary Assessment and monitoring the performance and health of rail structures is an essential aspect of prioritizing the repair and replacement, as well as extending service life, of these transportation infrastructures. Intrusion of fines from the subgrade or surface leads to ballast fouling and […]

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Project 1.14: Exploring the Safety Impact of Rumble Strips on Prevention of Lane Departure Crashes in Maine

Exploring the Safety Impact of Rumble Strips on Prevention ofLane Departure Crashes in Maine Project 1.14 Project Summary Enhancing safety of roadway segments is a critical step towards maintaining durable transportation infrastructures. Due to significant costs associated with construction of roadway segments, redesigning or rebuilding a roadway segment is not always a viable solution for […]

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Project 1.16: Wireless Joint Monitoring System (w-JMS) for Safety of Highway Bridges

Wireless Joint Monitoring System (w-JMS) for Safety of Highway Bridges Project 1.16 Project Summary The objective of this research project is to develop and deploy a long-term wireless monitoring system on a highway bridge’s expansion joint systems considering environmental factors. Principal Investigator:Dr. Shinae Jang Co-PIs Dr. Song HanDr. Ramesh Malla Institution:University of Connecticut Project:Complete Start […]

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Project 1.15: Non-Contact Intelligent Inspection of Infrastructure

Non-Contact Intelligent Inspection of Infrastructure Project 1.15 Project Summary The objective of this research is to develop non-contact sensing mechanism for infrastructure monitoring as well as the associated machine-learning based technique for decision making. Currently available sensory systems for structural health monitoring are almost all based on transducers that are directly attached to or embedded […]

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