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Design of Concrete Colour Reference Charts for Monitoring of Deterioration in Concrete Structures

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Abstract

Variation in the colour of the concrete surface is a common phenomenon due to chemical attack. The present study aims at quantifying the imaging based on the degradation of concrete due to chemical attack [sulphate (MgSO4), acids (H2SO4, HCl) and salts (NaCl) at 5% concentration] at the end of 3, 7, 14 and 28 days. This colour variation is quantified using the YCbCr and YCgCr colour spaces. The variation of Y value due to lighting along with colour changes in CbCr and CgCr variation was observed. The combined variation of YCbCr and YCgCr enables accurate assessment of the extent of deterioration. Also, the rate of change of CbCr strength with time is established as an empirical relation between compressive strength through Cb, Cr and Cg, Cr. This novel method can be useful for video graphic monitoring of inaccessible concrete structures dilapidated due to chemical action and needs attention to repair/retrofitting.

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References

  1. A.K. Azad, S. Ahmad, B.H.A. Al-Gohi, Flexural strength of corroded reinforced concrete beams. Mag. Concrete Res. 62(6), 405–414 (2010)

    Article  Google Scholar 

  2. H.P. Chen, Residual flexural capacity and performance assessment of corroded reinforced concrete beams. J. Struct. Eng. ASCE 144(12), 04018213 (2018)

    Article  Google Scholar 

  3. P.R. Roberge, Corrosion Engineering Principles and practise (McGraw-Hill Education, 2008)

    Google Scholar 

  4. D. Kumar, Y. Deng, An efficient multisensing system for SHM of oil and gas pipelines, Review of Progress in Quantitative Nondestructive Evaluation (2019)

  5. Z. Liu, Y. Kleiner, State-of-the-art review of technologies for pipe structural health monitoring. IEEE Sens. J. 12(6), 1987–1992 (2012)

    Article  ADS  Google Scholar 

  6. P. Hansen, H. Alismail, P. Rander, B. Browning, Pipe mapping with monocular fisheye imagery, in 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, (IEEE, 2013) pp. 5180–5185

  7. O. Duran, K. Althoefer, L.D. Seneviratne, Automated pipe defect detection and categorization using camera/laser-based profiler and artificial neural network. IEEE Trans. Autom. Sci. Eng. 4(1), 118–126 (2007)

    Article  Google Scholar 

  8. M. Majumder, T.K. Gangopadhyay, A.K. Chakraborty, K. Dasgupta, D.K. Bhattacharya, Fibre Bragg gratings in structural health monitoring—present status and applications. Sens. Actuators A 147(1), 150–164 (2008)

    Article  CAS  Google Scholar 

  9. S. Manohar, M. Santhanam, N. Chockalingam, Performance and microstructure of bricks with protective coatings subjected to salt weathering. Constr. Build. Mater. 226, 94–105 (2019)

    Article  CAS  Google Scholar 

  10. M.E. Hatır, İ İnce, M. Korkanç, Intelligent detection of deterioration in cultural stone heritage. J. Build. Eng. 44, 102690 (2021)

    Article  Google Scholar 

  11. R. Occhipinti, A. Stroscio, C.M. Belfiore, G. Barone, P. Mazzoleni, Chemical and Colourimetric analysis for the characterisation of degradation forms and surface colour modification of building stone materials. Constr. Build. Mater. 302, 124356 (2021)

    Article  CAS  Google Scholar 

  12. B.B. Mandelbrot, D. Passoja, A.J. Paullay, Fractal character of fracture surfaces of metals. Nature 308(5961), 721–722 (1984)

    Article  ADS  CAS  Google Scholar 

  13. B. Pramanik, T. Tadepalli, P.R. Mantena, Surface fractal analysis for estimating the fracture energy absorption of nanoparticle reinforced composites. Materials 5(5), 922–936 (2012)

    Article  ADS  PubMed  PubMed Central  Google Scholar 

  14. W. Macek, R. Branco, M. Korpyś, T. Łagoda, Fractal dimension for bending–torsion fatigue fracture characterisation. Measurement 184, 109910 (2021)

    Article  Google Scholar 

  15. H. Wang, D. He, Y. Wu, S. Xu, Study on wear state evaluation of friction stir welding tools based on image of surface topography. Measurement 186, 110173 (2021)

    Article  Google Scholar 

  16. S. De, A. Bhattacharya, A. Mukhopadhyay, S. Sen, Early detection of lean blowout in a combustor using symbolic analysis of colour images. Measurement 186, 110113 (2021)

    Article  Google Scholar 

  17. P.S. Minz, I.K. Sawhney, C.S. Saini, Algorithm for processing high definition images for food colourimetry. Measurement 158, 107670 (2020)

    Article  Google Scholar 

  18. C. Heng, H. Shen, F. Wang, Y. Chen, Calibrated Colour measurement of cashmere using a novel computer vision system. Measurement 185, 109991 (2021)

    Article  Google Scholar 

  19. Y. Xu, X. Huang, X. Mo, S. Ma, Melt surface change measurement under different crucible rotations in Czochralski furnace using an image-processing method. Measurement 155, 107527 (2020)

    Article  Google Scholar 

  20. H. Jian, Q. Lin, J. Wu, X. Fan, X. Wang, Design of the Colour classification system for sunglass lenses using PCA-PSO-ELM. Measurement 189, 110498 (2022)

    Article  Google Scholar 

  21. J.I. Choi, Y. Lee, Y.Y. Kim, B.Y. Lee, Image-processing technique to detect carbonation regions of concrete sprayed with a phenolphthalein solution. Constr. Build. Mater. 154, 451–461 (2017)

    Article  CAS  Google Scholar 

  22. N. Giulietti, P. Chiariotti, G. Cosoli, A. Mobili, G. Pandarese, F. Tittarelli, G.M. Revel, Automated measurement system for detecting carbonation depth: Image-processing based technique applied to concrete sprayed with phenolphthalein. Measurement 175, 109142 (2021)

    Article  Google Scholar 

  23. I. Segura, M. Molero, S. Aparicio, A. Moragues, Measurement of the degraded depth in cementitious materials by automatic digital image processing. Meas. Sci. Technol. 21(5), 055103 (2010)

    Article  ADS  Google Scholar 

  24. I. Hager, Colour change in heated concrete. Fire Technol. 50(4), 945–958 (2014)

    Article  Google Scholar 

  25. B. Ramírez Barat, E. Cano, M.T. Molina, M.A. Barbero-Álvarez, J.A. Rodrigo, J.M. Menéndez, Design and validation of tailored colour reference charts for monitoring cultural heritage degradation. Herit. Sci. 9, 1–9 (2021)

    Article  Google Scholar 

  26. C. Lin, Face detection in complicated backgrounds and different illumination conditions by using YCbCr Colour space and neural network. Pattern Recognit. Lett. 28(16), 2190–2200 (2007). https://doi.org/10.1016/j.patrec.2007.07.003

    Article  ADS  Google Scholar 

  27. P. Ganesan, V. Rajini, B.S. Sathish, V. Kalist, S.K. Khamar Basha, Satellite image segmentation based on YCbCr Colour space. Indian J. Sci. Technol. 8(1), 35–41 (2015). https://doi.org/10.17485/ijst/2015/v8i1/51281

    Article  Google Scholar 

  28. D. Chai, A. Bouzerdoum, Bayesian approach to skin Colour classification in YCbCr Colour space, in IEEE Reg. 10 2000 TENCON Proceedings, Intelligent systems and technologies for the new millennium, vol. 2, (2000) https://doi.org/10.1109/tencon.2000.888774

  29. B. Muhammad, S.A.R. Abu-Bakar, A hybrid skin Colour detection using HSV and YCgCr Colour space for face detection, in IEEE 2015 International Conference on Signal and Image Processing Applications (ICSIPA, 2015), pp. 95–98 https://doi.org/10.1109/ICSIPA.2015.7412170

  30. M.V. Daithankar, K.J. Karande, A.D. Harale, Analysis of skin Colour models for face detection, in International Conference on Communication and Signal Processing (ICCSP, 2014). pp. 533–537 https://doi.org/10.1109/ICCSP.2014.6949899

  31. J.J. De Dios, N. García, Face detection based on a new Colour space YCgCr. IEEE Int. Conf. Image Process. 3(April), 909–912 (2003). https://doi.org/10.1109/icip.2003.1247393

    Article  Google Scholar 

  32. Bureau of Indian Standards (BIS), IS 12269: 2013 Ordinary Portland cement, 53 grade specification, Indian Standard, no. March, (2013) pp. 1–14

  33. Bureau of Indian Standards (BIS), Coarse and fine aggregate for concrete—specification, Is 383 -2016, no. January, (2016) pp. 1–18

  34. Bureau of Indian Standards (BIS), IS : 2366 (Part IV)-1963-Methods of test for aggregates for concrete, Part 4 : Mechanical properties, Indian Standard, (2002) pp. 1–37

  35. BIS, Indian standard drinking water specification (Second Revision), Bur. Indian Stand., vol. IS 10500, no. May, (2012) pp. 1–11

  36. I. Standard, IS 10262: 2019, Concrete mix proportioning, Indian Standard, No. January, (2019)

  37. V.G.P. Reddy, B.M. Krishna, T. Tadepalli, P.R. Kumar, Image-based deterioration assessment of concrete. Materials Today: Proceedings. 32, 788–796 (2020)

  38. A. Allahverdi, F. Škvára, Acidic corrosion of hydrated cement based materials. Part 1. Mechanism of the phenomenon. Ceram. Silikáty 44, 114–120 (2000)

    CAS  Google Scholar 

  39. P. Liu, Y. Chen, W. Wang, Z. Yu, Effect of physical and chemical sulphate attack on performance degradation of concrete under different conditions. Chem. Phys. Lett. 745, 137254 (2020). https://doi.org/10.1016/j.cplett.2020.137254

    Article  CAS  Google Scholar 

  40. Y. Chen, P. Liu, Z. Yu, Study on degradation of macro performances and microstructure of concrete attacked by sulphate under artificial simulated environment. Constr. Build. Mater. 260, 119951 (2020). https://doi.org/10.1016/j.conbuildmat.2020.119951

    Article  CAS  Google Scholar 

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Acknowledgements

The authors express gratitude to the Civil Engineering Department, NIT Warangal for the facilities provided to carry out this research work.

Funding

This study was funded by MHRD-IMPRINT-1 Grant No: 7338.

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Authors and Affiliations

  1. Department of Civil Engineering, National Institute of Technology Nagaland, Chumukedima, 797103, India

    V. Guru Prathap Reddy

  2. Department of Civil Engineering, National Institute of Technology Warangal, Hanamkonda, 506004, India

    U. Rishivarun, T. Tadepalli & Rathish Kumar Pancharathi

  3. Department of Civil Engineering, Indian Institute of Technology Bombay, Mumbai, 400076, India

    A. G. Sharanya

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  1. V. Guru Prathap Reddy
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  2. U. Rishivarun
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  3. T. Tadepalli
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  4. Rathish Kumar Pancharathi
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Contributions

VGPR contributed to software, validation, formal analysis, data curation, writing—original draft, writing—review & editing; UR contributed to formal analysis, data curation, writing; TT contributed to visualisation, supervision, funding acquisition, review & editing; RKP contributed to visualisation, supervision, funding acquisition, review & editing; AGS contributed to review & editing, formal analysis.

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Correspondence to V. Guru Prathap Reddy.

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Reddy, V.G.P., Rishivarun, U., Tadepalli, T. et al. Design of Concrete Colour Reference Charts for Monitoring of Deterioration in Concrete Structures. J. Inst. Eng. India Ser. A 105, 61–75 (2024). https://doi.org/10.1007/s40030-024-00782-9

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