- CAIT Main
- Infrastructure Areas
- Program Sites
- ANDERS - Automated Nondestructive Evaluation and Rehabilitation System
- BEAST - Bridge Evaluation and Accelerated Structural Testing
- FMP - Freight and Maritime Program
- ICMP - Infrastructure Condition Monitoring Program
- IMG - Information Management Group
- LESS - Laboratory for Energy Smart Systems
- LPS - Laboratory for Port Security
- LTBP - Long-Term Bridge Performance Program
- NJ LTAP - NJ Local Technical Assistance Program
- PRP - Pavement Resource Program
- PSSP - Pipeline Safety and Security Program
- SAM - Structures and Advanced Materials
- SSML - Soil and Sediment Management Laboratory
- TSRC - Transportation Safety Resource Center
- TTG - Technology Transfer Group
RABIT™ wins ASCE innovation award
Automated bridge deck assessment tool could be a great leap forward in monitoring bridge health
FHWA and CAIT working together under the Long-Term Bridge Performance (LTBP) Program, created the RABITTM bridge deck assessment tool, the first fully automated device that simultaneously gathers quantitative data with several nondestructive evaluation (NDE) technologies and melds it into a comprehensive diagnostic representation of concrete bridge deck condition-inside and out.
The American Society of Civil Engineers (ASCE) deemed this creation so revolutionary that they selected it for the 2014 Charles Pankow Award for Innovation.
Candidates for the Pankow Award must be collaborative and demonstrate innovative design, materials, or construction-related research that is market-ready or commercially viable. Winners have to show they'll have a positive impact on the construction industry by reducing costs, waste, delivery times, worker injuries, and/or pollution and they will increase safety and durability. RABITTM meets all those criteria in spades.
At its first public demo for FHWA Administrator Victor Mendez, RABITTM functioned exactly as it should. Mendez and the other dignitaries there were duly impressed. Said Mendez, "This is what we've been talking about at USDOT and FHWA-it's about innovation and bringing solutions to the real world ... It's so important that we're able to solve problems today, not five years from today. ... What you have done here is really, really amazing."
Since that day on the Route 15 bridge over Route 66 in Virginia, the team has been refining RABITTM and putting it through its paces.
Dr. Nenad Gucunski, who heads up the Rutgers' CAIT team says they've had transportation agencies from around the country asking to use the RABITTM to test their structures. It has done scans on bridges in New Castle and Dover, Delaware; Middletown and Mount Joy, Pennsylvania; Leesburg, Virginia; and on the New Jersey Turnpike and other highways in New Jersey.
The benefits of this invention are many, but the ultimate value is its ability to help bridge owners make better-informed decisions regarding maintenance, repair, and rehabilitation of vital infrastructure.
Here's a snapshot of RABITTM's features and advantages:
- Provides comprehensive condition assessment on concrete bridge deck condition.
- Simplifies operation, data presentation, and analysis.
- Improves speed of data collection and analysis.
- Significantly reduces costs by increasing productivity and requiring fewer personnel on site.
- Improves safety for inspectors and drivers by keeping them both out of harm's way.
RABITTM was the product of a team effort exemplifying public-private partnerships and cross-disciplinary collaboration. Core team members were:
FHWA Turner-Fairbank Highway Research Center
Dr. Hamid Ghasemi
Jorge E. Pagan-Ortiz
Dr. Firas I Sheikh-Ibrahim
Michael F. Trentacoste
Center for Advanced Infrastructure and Transportation (CAIT)
Rutgers School of Engineering
Civil and Environmental Engineering (CEE)
Industrial and Systems Engineering (ISE)
Electrical and Computer Engineering (ECE)
Mechanical and Aerospace Engineering (MAE)
Rutgers Team Leaders
Dr. Ali Maher (CAIT/CEE)
Dr. Nenad Gucunski (CAIT/CEE)
Rutgers Faculty Contributors & Team Members
Dr. Basily B. Basily (ISE/CEE)
Dr. Kristin Dana (ECE)
Parneet Kaur (CAIT)
Dr. Seong-Hoon Kee (CAIT/CEE)
Dr. Hung La (CAIT)
Ronny Lim (CAIT)
Hooman Parvardeh (CAIT)
Prateek Prassana (CAIT)
Dr. Jingang Yi (MAE)
Dr. Mark Baker, Geomedia Research and Development
Giorgio Barsacchi, Ingegneria Dei Sistemi