Restricted Research - Award List, Note/Discussion Page

Fiscal Year: 2018

2009  The University of Texas at San Antonio  (75827)

Principal Investigator: Ghannoum, Wassim (Principal Investigator) Diaz, Manuel (Co-PI)  

Total Amount of Contract, Award, or Gift (Annual before 2011): $ 419,432

Exceeds $250,000 (Is it flagged?): Yes

Start and End Dates: 9/1/17 - 12/31/20

Restricted Research: YES

Academic Discipline: COE CIVIL ENGINEERING  

Department, Center, School, or Institute: COE CIVIL ENGINEERING  

Title of Contract, Award, or Gift: (PS 18-28) Evaluating Bridge Behavior Using Ultra-High Resolution Next-Generation Digital Image Correlation (DIC): Applications in Bridge Inspection and Damage Assessment

Name of Granting or Contracting Agency/Entity: TX Dept of Transportation 601
CFDA Link: DOT
20.205

Program Title: N/A
CFDA Linked: Highway Planning and Construction

Note:

Due to heavy cost burdens, departments of transportation across the nation are increasingly seeking new technologies that can facilitate monitoring their bridge portfolios and reduce the need for costly interventions. Deformation measurements, such as bridge deflections, material stains, and crack widening, are at the heart of damage and capacity evaluations for bridges. However, measuring the necessary structural deformations is currently time consuming, requires direct access to the structure, and often suffers from user-bias. Digital Image Correlation (DIC) is a non-contact technology that utilizes specialized digital cameras to deliver high-resolution deformation data between successive images and over large areas of a structure. The technology is advancing rapidly and has recently been proven in laboratory settings to possess the unique ability amongst competing technologies to deliver the necessary high-resolution deformation data that can greatly improve the accuracy and reduce the conservatism of structural evaluations. This project will deliver a state-of-the-art DIC system that can monitor strains and deformations during bridge load testing, as well as monitor damage progression in concrete and steel bridges over time. The system will accelerate as well as reduce the cost of bridge inspections, while providing previously inaccessible data for streamlining bridge capacity evaluations and rehabilitation decisions.

Discussion: No discussion notes

 

Close Window