Structural Monitoring and Maintenance

  • 제2권1호
  • /
  • Pages.19-34
  • /
  • 2015
  • /
  • 2288-6605(pISSN)
  • /
  • 2288-6613(eISSN)
테크노프레스 (Techno-Press)
권호 표지
DOI QR코드

DOI QR Code

Delamination and concrete quality assessment of concrete bridge decks using a fully autonomous RABIT platform

  • Gucunski, Nenad (Department of Civil and Environmental Engineering, Rutgers University) ;
  • Kee, Seong-Hoon (Department of Architectural Engineering, Dong-A University) ;
  • La, Hung (Computer Science and Engineering, University of Nevada) ;
  • Basily, Basily (Department of Civil and Environmental Engineering, Rutgers University) ;
  • Maher, Ali (Center for Advanced Infrastructure and Transportation, Rutgers University)
  • 투고 : 2015.01.15
  • 심사 : 2015.03.05
  • 발행 : 2015.03.25
⟨ 이전 논문 다음 논문 ⟩

초록

One of the main causes of a limited use of nondestructive evaluation (NDE) technologies in bridge deck assessment is the speed of data collection and analysis. The paper describes development and implementation of the RABIT (Robotics Assisted Bridge Inspection Tool) for data collection using multiple NDE technologies. The system is designed to characterize three most common deterioration types in concrete bridge decks: rebar corrosion, delamination, and concrete degradation. It implements four NDE technologies: electrical resistivity (ER), impact echo (IE), ground-penetrating radar (GPR), and ultrasonic surface waves (USW) method. The technologies are used in a complementary way to enhance the interpretation. In addition, the system utilizes advanced vision to complement traditional visual inspection. Finally, the RABIT collects data at a significantly higher speed than it is done using traditional NDE equipment. The robotic system is complemented by an advanced data interpretation. The associated platform for the enhanced interpretation of condition assessment in concrete bridge decks utilizes data integration, fusion, and deterioration and defect visualization. This paper concentrates on the validation and field implementation of two NDE technologies. The first one is IE used in the delamination detection and characterization, while the second one is the USW method used in the assessment of concrete quality. The validation of performance of the two methods was conducted on a 9 m long and 3.6 m wide fabricated bridge structure with numerous artificial defects embedded in the deck.

키워드

참고문헌

  1. Ganji, V., Gucunski, N. and Nazarian, S. (1998), "An automated inversion procedure for spectral analysis of surface waves", J.Geotech. Geoenviron., 124(8), 757-780. https://doi.org/10.1061/(ASCE)1090-0241(1998)124:8(757)
  2. Gucunski, N., Maher, A., Ghasemi, H. and F. Ibrahim (2012), "Segmentation and condition rating of concrete bridge decks using NDE for more objective inspection and rehabilitation planning", Proceedings of the 6th Intl. Conference on Bridge Maintenance, Safety and Management-IABMAS 2012, Stresa, Lake Maggiore, Italy, July 8-12, on CD.
  3. Nazarian, S., Stokoe, K.H., II and Hudson, W.R. (1983), Use of spectral analysis of surface waves method for determination of moduli and thicknesses of pavement systems, Transportation Research Record, No. 930, National Research Council, Washington, D.C.
  4. Nazarian, S., Baker, M.R. and K. Crain (1993), Development and Testing of a Seismic Pavement Analyzer. Report SHRP-H-375, Strategic Highway Research Program, NRC, Washington, D.C.
  5. Papadakis, V.G. (2013), "Service life prediction of a reinforced concrete bridge exposed to chloride induced deterioration", Adv. Concr. Constr., 1(3), 201-213. https://doi.org/10.12989/acc2013.1.3.201
  6. Sansalone, M.J. (1993), "Detecting delaminations in concrete bridge decks with and without asphalt overlays using an automated impact-echo field system", NDT in Civil Engineering, Proceedings of the Intl. Conference of British Institute of Non-Destructive Testing, Liverpool, U.K., April 14-16.
  7. White, J., Hurlebaus, S., Shokouhi, P., Wittwer, A. and A. Wimsatt (2014), "Noncontact techniques for monitoring of tunnel linings", Struct. Monit. Maint., 1(2), 197-211. https://doi.org/10.12989/SMM.2014.1.2.197
  8. Whiting, D.A. and Nagi, M.A. (Eds.) (2003), Electrical Resistivity of Concrete - A Literature Review, PCA R&D Serial No. 2457, PCA, Skokie, Illinois, USA.

피인용 문헌

  1. Three-Dimensional Visualization and Presentation of Bridge Deck Condition Based on Multiple NDE Data vol.23, pp.3, 2017, https://doi.org/10.1061/(ASCE)IS.1943-555X.0000341
  2. Nondestructive evaluation sensor fusion with autonomous robotic system for civil infrastructure inspection vol.35, pp.6, 2018, https://doi.org/10.1002/rob.21791
  3. Concrete Sub-Surface Crack Characterization by Means of Surface Rayleigh Wave Method pp.0889-325X, 2019, https://doi.org/10.14359/51710967
  4. Robotic System for Inspection by Contact of Bridge Beams Using UAVs vol.19, pp.2, 2019, https://doi.org/10.3390/s19020305
  5. Non-Destructive Evaluation of Closure Joints in Accelerated Bridge Construction using a Damage Etiology Approach vol.10, pp.4, 2015, https://doi.org/10.3390/app10041457
  6. Hazard analysis and monitoring for debris flow based on intelligent fuzzy detection vol.7, pp.1, 2015, https://doi.org/10.12989/smm.2020.7.1.059
  7. Rebar detection and localization for bridge deck inspection and evaluation using deep residual networks vol.120, pp.None, 2020, https://doi.org/10.1016/j.autcon.2020.103393
  8. Estimation on Embedment Length of Anchor Bolt inside Concrete Using Equation for Arrival Time and Shortest Time Path of Ultrasonic Pulse vol.10, pp.24, 2020, https://doi.org/10.3390/app10248848
  9. Condition assessment of bridge pier using constrained minimum variance unbiased estimator vol.7, pp.4, 2015, https://doi.org/10.12989/smm.2020.7.4.319
  10. Critical review of data-driven decision-making in bridge operation and maintenance vol.18, pp.1, 2015, https://doi.org/10.1080/15732479.2020.1833946