Materials and Infrastructure
This area has been established to conduct research, education and service activities in the field of infrastructures and related materials. It is devoted to promote sustainable practices in infrastructure engineering, enhance understanding of distress mechanisms and failure modes, develop testing and conditioning procedures to improve material characterization, and develop design approaches for pavement systems and foundations that optimize performance.
- Characterization of soil deposits, soil properties and soil variability
- Advanced sensing technologies
- Assessment and monitoring of geosystems and pavements
- Testing and characterization of asphalt binders and mixtures
- Understanding of distress mechanisms and failure modes
- Development of performance-based specifications for characterization and design
- Tire-pavement interaction
- Material recycling and reuse technologies
- Nano-modification and polymer modification of materials
- Computer/numerical modeling of material behavior
The UFTI facilities are available for advanced performance testing of infrastructure materials under a variety of conditions.
Field Sensing Systems
- In situ (including CPT, DMT, PMT)
- Geophysical (SASW, downhole, crosshole, electrical resistivity)
- Sensors (active, passive, wireless, smart)
- Environmental Scanning Electron Microscope (ESEM)
- Static and dynamic triaxial, hollow cylinder, torsional, shear, resonant column
- Five closed-loop servo-hydraulically controlled loading frames (5-kip to 220-kip capacity)
- Partial saturation capabilities (triaxial, torsional shear, etc.)
- Durability laboratory (sulfates, chlorides, etc.)
Asphalt Binder and Mixture Laboratory
- Servopac gyratory compactor and gyratory testing machine (GTM)
- Rheology, aging, Fournier transform infrared spectroscopy (FTIR), binder extraction & recovery
- Binder conditioning (RTFO, PAV, CPPC)
- Complete Superpave binder (RV, DSR, BBR) and mixture (IDT) testing capabilities
- Fracture binder test
- Dog-bone direct tension test
- Composite specimen interface cracking (CSIC) test
- Aggregate imaging machine system (AIMS)
- X-ray computed tomography
- 16-node Silicon Graphics Inc parallel processor supercomputer
- Multiple workstations and PCs
Christopher Ferraro, Ph.D.
Research Assistant Professor
Dennis Hiltunen, Ph.D., P.E.
George A. Lopp .
Associate in Engineering
Ana P. Mohseni, Ph.D.
Reynaldo Roque, Ph.D., P.E.
Mang Tia, Ph.D., P.E.
Jennifer A. Bridge, Ph.D.
Associate Professor, Ph.D.