RABIT: implementation, performance validation and integration with other robotic platforms for improved management of bridge decks

Accurate condition assessment and monitoring of concrete bridge deck deterioration progression requires both use of multiple nondestructive evaluation (NDE) technologies and automation in data collection and analysis. RABIT (robotics assisted bridge inspection tool) for bridge decks enables fully autonomous data collection at rates three or more times higher than it is typically done by a team of five inspectors using manual NDE technologies. The system concentrates on the detection and characterization of three most common internal deterioration and damage types: rebar corrosion, delamination, and concrete degradation. For that purpose, RABIT implements four NDE technologies: electrical resistivity (ER), ground-penetrating radar (GPR), impact echo (IE) and ultrasonic surface waves (USW) method. High productivity and higher spatial data resolution are achieved through the use of large sensor arrays or multiple probes for the four NDE methods. RABIT surveys also complement visual inspection by collecting high resolution images of the deck surface, which can be used for crack mapping and documentation of deck spalling, previous repairs, etc. The NDE technologies are used in a complementary way to enhance the overall condition assessment, certainty regarding the detected deterioration and better identification of the primary cause of deterioration. RABIT’s components, operation, field implementation and validation, as well as future integration with a robotic platform for minimally invasive rehabilitation, are described.

[1]  Nenad Gucunski,et al.  Concrete Bridge Deck Delamination Detection by Integrated Ultrasonic Methods , 2006 .

[2]  Nicholas J. Carino,et al.  The Impact-Echo Method: An Overview , 2001 .

[3]  N. Gucunski,et al.  Deterioration progression monitoring in concrete bridge decks using periodical NDE surveys , 2013 .

[4]  John S. Popovics,et al.  Lamb wave basis for impact-echo method analysis , 2005 .

[5]  Soheil Nazarian,et al.  Use of Seismic Pavement Analyzer To Monitor Degradation of Flexible Pavements Under Texas Mobile Load Simulator , 1998 .

[6]  Mary Sansalone,et al.  A Procedure for Determining P-Wave Speed in Concrete for Use in Impact-Echo Testing Using a Rayleigh Wave Speed Measurement Technique , 1997, SP-168: Innovations In Nondestructive Testing of Concrete.

[7]  H. Wiggenhauser,et al.  Innovative Ultrasonic Techniques for Inspection and Monitoring of Large Concrete Structures , 2013 .

[8]  R. Browne,et al.  Mechanisms of Corrosion of Steel in Concrete in Relation to Design, Inspection, and Repair of Offshore and Coastal Structures , 1980 .

[9]  Steve Millard,et al.  Measurement of concrete resistivity for assessment of corrosion severity of steel using wenner technique , 1999 .

[10]  Mary Sansalone Impact-Echo: The Complete Story , 1997 .

[11]  M. Raupach,et al.  BETOSCAN – Ein mobiles Roboter Messsystem für die Diagnose von bewehrten Betonböden / BETOSCAN – An Instrumented Mobile Robot System for the Diagnosis of Reinforced Concrete Floors , 2008 .

[12]  Jinyoung Kim,et al.  Three-Dimensional Visualization and Presentation of Bridge Deck Condition Based on Multiple NDE Data , 2017 .

[13]  J. Rhazi Test Method for Evaluating Asphalt-covered Concrete Bridge Decks Using Ground Penetrating Radar , 2011 .

[14]  Christopher L. Barnes,et al.  Ground-Penetrating Radar for Network-Level Concrete Deck Repair Management , 2000 .

[15]  Kenneth Maser,et al.  NETWORK BRIDGE DECK SURVEYS USING HIGH-SPEED RADAR: CASE STUDIES OF 44 DECKS , 1992 .

[16]  Jinyoung Kim,et al.  Capture and Quantification of Deterioration Progression in Concrete Bridge Decks through Periodical NDE Surveys , 2017 .

[17]  Weihua Sheng,et al.  Developing a crack inspection robot for bridge maintenance , 2011, 2011 IEEE International Conference on Robotics and Automation.

[18]  Brian M. Pailes Damage identification, progression, and condition rating of bridge decks using multi-modal non-destructive testing , 2014 .

[19]  Soheil Nazarian,et al.  Nondestructive testing to identify concrete bridge deck deterioration , 2012 .

[20]  Jingang Yi,et al.  Mechatronic Systems Design for an Autonomous Robotic System for High-Efficiency Bridge Deck Inspection and Evaluation , 2013, IEEE/ASME Transactions on Mechatronics.

[21]  H. Wiggenhauser Advanced NDT methods for the assessment of concrete structures , 2008 .