Project 2.21: Mineralogical Characterization of Pavement Aggregates in Maine
Mineralogical Characterization of Pavement Aggregates in Maine 2.21
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Project 2.20: Efficiency of Fiber Reinforcement in Ultra-high Performance Concrete
Efficiency of Fiber Reinforcement in Ultra-high Performance Concrete 2.20
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Project 1.18: Vision-Based Detection of Bridge Damage Captured by Unmanned Aerial Vehicles
Vision-Based Detection of Bridge Damage Captured by Unmanned Aerial Vehicles Project 1.18
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Project C21.2022: Prediction and Prevention of Bridge Performance Degradation due to Corrosion, Material Loss, and Microstructural Changes.
Prediction and Prevention of Bridge Performance Degradation due to Corrosion, Material Loss, and Microstructural Changes C21.2022
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Project 1.19: Assessing Presence and Impact of REOB (Recycled Engine Oil Bottoms) on Asphalt
Assessing Presence and Impact of REOB (Recycled Engine Oil Bottoms) on Asphalt Project 1.19
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Project 3.17: Assessment of CT Girder Load Distribution and Web Buckling Through Field Load Testing and Finite-Element Analysis
Assessment of CT Girder Load Distribution and Web Buckling Through Field Load Testing and Finite-Element Analysis Project 3.17:
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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
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Project 3.21: GBeam Bridge Girder Pultrusion: Section Design and Optimization
GBeam Bridge Girder Pultrusion: Section Design and Optimization 3.21
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Project 4.13: Development and Application of a Cost-Benefit Tool for Quantifying External Social Impacts of Small to Mid-Size Transportation Projects
Development and Application of a Cost-Benefit Tool for Quantifying External Social Impacts of Small to Mid-Size Transportation Projects Project 4.13
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Project 3.19: Detection and Monitoring of Material Aging and Structural Deterioration using Electromagnetic and Mechanical Sensors with Virtual Reality and Machine Learning Modeling
Detection and Monitoring of Material Aging and Structural Deterioration using Electromagnetic and Mechanical Sensors with Virtual Reality and Machine Learning Modeling Project 3.19
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