Month: July 2019

A temporary steel sheet pile wall (SPW) is frequently used to stabilize soil during construction. An SPW is installed prior to the installation of the production piles.  University of Florida researchers, led by principal investigator Jae Chung, Ph.D., investigated the effects of installation and removal of sheet pile walls on piles driven into granular soils. Click […]

University of Florida researchers, led by principal investigator Kyle Riding, Ph.D., developed a method to measure the tensile stress-strain relationship of ultra-high performance concrete (UHPC). They also developed a specification for material acceptance of field-cast UHPC. Improved specifications and performance verification will allow designers to use UHPC more widely and take advantage of its benefits […]

Two UF Civil Engineering professors teamed up with Feld Entertainment to research the impact of over-sized motor vehicles on venue floors in an event called Monster Jam, the largest motor-sport event that tours globally throughout arenas and stadiums. Funded by a grant from Feld, Jennifer Bridge, Ph.D., and Christopher Ferraro, Ph.D., visited Marlins Park, a […]

The Gator ITE Student Chapter’s traffic bowl team recently won grand prize in the ITE Florida Puerto Rico District Traffic Bowl, and will continue on to compete for the international title at the ITE International Meeting in Austin, TX. The winning team included the following students Corbin Kramer, Asean Davis, Christian Breault, and Luan Guilherme. […]

Zachary Jerome from the University of Tennessee, Knoxville, is the UFTI’s 2019 SURF student. He is currently working on two projects under the guidance of Dr. Lily Elefteriadou: “Autonomous Vehicles at Intelligent Intersections and Advanced Networks” and “Highway Capacity Manual Methodologies for Corridors Involving Freeways and Surface Streets.” After graduation, Jerome hopes to be at […]

The goal of this project is to enable cities and communities to deploy technology that saves lives through safer transportation systems. Video data will be gathered through edge-based real-time machine learning (ML) techniques and videostream processing from intersections and public vehicles. By understanding the risk profile of an intersection through automated detection of near miss […]