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University of Texas at Arlington Developing Better Bridge Inspections

ARLINGTON, TX — The University of Texas at Arlington (UTA) has received funding from the Texas Department of Transportation (TxDOT) to use a testing system invented by a UTA researcher to inspect bridges for repairs without disrupting Texas commuters.

Suyun Ham, Assistant Professor of Civil Engineering, and Simon Chao, Professor of Civil Engineering, have received a $534,000 TxDOT grant to use Ham’s non-contact testing system to make faster, easier and more accurate determinations about when and where bridge repairs are needed. Chao, who is Co-Principal Investigator on the project, will support the effort to evaluate the structural integrity of bridges.

“I’d like to congratulate Professors Ham and Chao on receiving this funding. It is clear recognition of their leadership in the critical field of condition evaluation,” said UTA President Vistasp Karbhari. “Advances being made by researchers such as Drs. Ham and Chao in automating assessment and enabling rapid evaluation of the condition of our bridges are crucial to the maintenance of critical infrastructure in Texas and the nation.”

Ham’s system uses sensors mounted to a moving platform that can be pulled behind a vehicle. It detects mechanical waves created by an automatic impacting instrument striking the surface of the bridge. The waves can penetrate the bridge surface up to three feet deep and be mapped to a 3D image, similar to an MRI, to show hidden damage. Current methods require workers to drag or tap on the surface and listen for hollow sounds that could indicate potential problems.

Because the system is mounted on a trailer and operates on a particular frequency, it is not necessary to close lanes for testing, and it can give engineers better insight into the entire structure, which can be difficult to access.

“Our goal is to help TxDOT create better, more accurate maintenance plans to prevent economic losses due to unnecessary repairs or because necessary repairs weren’t made in a timely manner,” Ham said. “We can help them extend the service life of bridges by using the reliable data we collect to adjust their planned maintenance.”

UTA students Sanggoo Kang, Dafnik David, Yin-chao Wu, Muil Yang and Mohammed Alani round out the research team.

“Dr. Ham has created an innovative robotic system that will greatly impact TxDOT’s ability to maintain, replace and plan for potential repairs of its infrastructure,” said Ali Abolmaali, Chair of the Civil Engineering Department.

UTA has been an important TxDOT partner in evaluating and improving the state’s highway infrastructure, with a range of projects that include workforce development for concrete paving experts and studies that examine the safety, durability and environmental impact of the state’s roads and bridges.

Nur Yazdani, a UTA Civil Engineering Professor, is working with TxDOT to inspect and evaluate new and existing concrete bridge components using non-destructive methods, and to determine the true load capacity of bridges to ensure that the posted capacities represent what the bridges are capable of supporting.

Two Civil Engineering Researchers — Mohsen Shahandashti and Sahadat Hossain — are working on a TxDOT-funded project to better monitor and predict soil weakness, which can lead to slope failures on state highways.

Habib Ahmari, Civil Engineering Assistant Professor of Instruction, is working with TxDOT on two projects worth more than $500,000 to study both the impact of bridge construction projects on stream ecology and the safety of bridges during floods.

Stefan Romanoschi, Professor of Civil Engineering, is testing the durability of roads made from recycled asphalt, using an accelerated pavement testing machine that he built and a two-year, $1.26-million TxDOT award.

Sharareh Kermanshachi, Assistant Professor in Civil Engineering, is using a TxDOT grant to establish a workforce development framework for concrete paving experts and reduce project failures through enhancement of project participants’ skills and knowledge.

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