Structural Monitoring and Maintenance

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QR code as speckle pattern for reinforced concrete beams using digital image correlation

  • Krishna, B. Murali (Department of Civil Engineering, National Institute of Technology Warangal) ;
  • Tezeswi, T.P. (Department of Civil Engineering, National Institute of Technology Warangal) ;
  • Kumar, P. Rathish (Department of Civil Engineering, National Institute of Technology Warangal) ;
  • Gopikrishna, K. (Department of Civil Engineering, National Institute of Technology Warangal) ;
  • Sivakumar, M.V.N. (Department of Civil Engineering, National Institute of Technology Warangal) ;
  • Shashi, M. (Department of Civil Engineering, National Institute of Technology Warangal)
  • Received : 2018.09.21
  • Accepted : 2019.02.20
  • Published : 2019.03.25
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Abstract

Digital Image Correlation technique (DIC) is a non-contact optical method for rapid structural health monitoring of critical infrastructure. An innovative approach to DIC is presented using QR (Quick Response) code based random speckle pattern. Reinforced Cement Concrete (RCC) beams of size $1800mm{\times}150mm{\times}200mm$ are tested in flexure. DIC is used to extract Moment (M) - Curvature (${\kappa}$) relationships using random speckle patterns and QR code based random speckle patterns. The QR code based random speckle pattern is evaluated for 2D DIC measurements and the QR code speckle pattern performs satisfactorily in comparison with random speckle pattern when considered in the context of serving a dual purpose. Characteristics of QR code based random speckle pattern are quantified and its applicability to DIC is explored. The ultimate moment-curvature values computed from the QR code based random speckled pattern are found to be in good agreement with conventional measurements. QR code encrypts the structural information which enables integration with building information modelling (BIM).

Keywords

Acknowledgement

Grant : A simple and robust non-contact method for rapid structural health monitoring of critical infrastructure using Digital Image Correlation

Supported by : MHRD-IMPRINT

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