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

被引:47
作者
Gucunski N. [1 ]
Basily B. [1 ]
Kim J. [2 ]
Yi J. [3 ]
Duong T. [3 ]
Dinh K. [3 ]
Kee S.-H. [4 ]
Maher A. [3 ]
机构
[1] Rutgers, The State University of New Jersey, 96 Frelinghuysen Rd, Piscataway, 08854, NJ
[2] Ajou University, Sanhakwon 712, 206 Worldcup-ro, Yeongtong-gu, Suwon-Si, 16499, Gyeonggi-do
[3] Rutgers, The State University of New Jersey, 100 Brett Rd, Piscataway, 08854, NJ
[4] Department of Architectural Engineering, Dong-A University, 37 Nakdong-Daero, Busan
基金
美国国家科学基金会;
关键词
Bridge decks; Concrete; Corrosion; Deterioration; Electrical resistivity; GPR; Impact echo; Nondestructive evaluation; Rehabilitation; Robotics; Surface waves;
D O I
10.1007/s41315-017-0027-5
中图分类号
学科分类号
摘要
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. © 2017, Springer Nature Singapore Pte Ltd.
引用
收藏
页码:271 / 286
页数:15
相关论文
共 25 条
[11]  
Gucunski N., Imani A., Romero F., Nazarian S., Azari H., Wiggenhauser H., Shokouhi P., Taffe A., Kutrubes D., Nondestructive Testing to Identify Concrete Bridge Deck Deterioration, (2013)
[12]  
Gucunski N., Pailes B., Kim J., Azari H., Dinh K., Capture and quantification of deterioration progression in concrete bridge decks through periodical NDE Surveys, Infrastruct. Syst, 23, 1, (2017)
[13]  
Kim J., Gucunski N., Duong T., Dinh K., Three-dimensional visualization and presentation of bridge deck condition based on multiple NDE data, J. Infrastruct. Syst, 23, 3, (2017)
[14]  
La H.M., Lim R.S., Basily B.B., Gucunski N., Yi J., Maher A., Romero F.A., Parvardeh H., Mechatronic systems design for an autonomous robotic system for high-efficiency bridge deck inspection and evaluation, IEEE/ASME Trans. Mechatron., 18, 6, pp. 1655-1656, (2013)
[15]  
Lim R.S., La H.M., Shan Z., Sheng W., Developing a crack inspection robot for bridge maintenance, Proc. 2011 IEEE Intl. Conf. on Robotics and Automation, pp. 6288-6293, (2011)
[16]  
Lin J.M., Sansalone M., A procedure for determining P-wave speed in concrete for use in impact-echo testing using a Rayleigh wave speed measurement technique, Innovations in nondestructive testing, SP-168, pp. 137-165, (1997)
[17]  
Maser K.R., Rawson A., Network bridge deck surveys using high speed radar: Case studies of 44 decks (abridgement), pp. 25-28, (1992)
[18]  
Nazarian S., Baker M.R., Crain K., Report SHRP-H-375: development and testing of a seismic pavement analyzer, (1993)
[19]  
Pailes B.M., Damage Identification, Progression, and Condition Rating of Bridge Decks Using Multi-Modal Non-Destructive Testing, (2014)
[20]  
Raupach M., Reichling K., Wiggenhauser H., Stoppel M., Dobmann G., Kurz J., BETOSCAN: An instrumented mobile robot system for the diagnosis of reinforced concrete floors, Proc. 2Nd Intl. Conf. on Concrete Repair, Rehabilitation and Retrofitting II, pp. 651-655, (2009)