Image Post-Processing Method for Quantification of Cracking in RC Precast Beams under Bending
Image processing methods are increasingly used in civil engineering, especially in the maintenance of concrete structures. Current digital cameras and post-processing methods allow verifying qualitatively the state of conservation of wide areas of concrete in dams and bridges. When dealing with buil...
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2018-11-01
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doaj-9a14f9c587a3470588645a281ba3cad32020-11-24T23:15:09ZengMDPI AGBuildings2075-53092018-11-0181115810.3390/buildings8110158buildings8110158Image Post-Processing Method for Quantification of Cracking in RC Precast Beams under BendingAlbert Albareda-Valls0Alejandra Bustos Herrera1Joan Lluís Zamora Mestre2Saeid S. Zaribaf3School of Architecture, Department of Technology in Architecture, Polytechnic University of Catalunya, Av Diagonal 649, 08034 Barcelona, SpainSchool of Architecture, Department of Technology in Architecture, Polytechnic University of Catalunya, Av Diagonal 649, 08034 Barcelona, SpainSchool of Architecture, Department of Technology in Architecture, Polytechnic University of Catalunya, Av Diagonal 649, 08034 Barcelona, SpainSchool of Architecture, Department of Technology in Architecture, Polytechnic University of Catalunya, Av Diagonal 649, 08034 Barcelona, SpainImage processing methods are increasingly used in civil engineering, especially in the maintenance of concrete structures. Current digital cameras and post-processing methods allow verifying qualitatively the state of conservation of wide areas of concrete in dams and bridges. When dealing with building refurbishments and rehabilitation, it is important to verify that existing structural elements fit the requirements of the standards; in the case of structures formed by traditional RC joists, cracking of the bottom-face provides information about the serviceability of these elements. This research proposed and put in practice through experimental tests an image post-processing method for quantification of cracking (five specimens were used and calibrated). Based on a sequence of shots and through a complex step-by-step post-processing, cracks were identified and measured to calibrate this method for real purposes. The method quantifies the crack opening width and spacing by analyzing the bottom-face of the joists through the shots. Measured values of crack spacing are very similar to those predicted by the standards, while the values of crack opening width differ more from theoretical ones due to the scattering of results. However, the proposed method has been proved as suitable and useful for fast inspections of RC elements under bending.https://www.mdpi.com/2075-5309/8/11/158image-based analysiscrack detectionserviceabilitydurability |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Albert Albareda-Valls Alejandra Bustos Herrera Joan Lluís Zamora Mestre Saeid S. Zaribaf |
spellingShingle |
Albert Albareda-Valls Alejandra Bustos Herrera Joan Lluís Zamora Mestre Saeid S. Zaribaf Image Post-Processing Method for Quantification of Cracking in RC Precast Beams under Bending Buildings image-based analysis crack detection serviceability durability |
author_facet |
Albert Albareda-Valls Alejandra Bustos Herrera Joan Lluís Zamora Mestre Saeid S. Zaribaf |
author_sort |
Albert Albareda-Valls |
title |
Image Post-Processing Method for Quantification of Cracking in RC Precast Beams under Bending |
title_short |
Image Post-Processing Method for Quantification of Cracking in RC Precast Beams under Bending |
title_full |
Image Post-Processing Method for Quantification of Cracking in RC Precast Beams under Bending |
title_fullStr |
Image Post-Processing Method for Quantification of Cracking in RC Precast Beams under Bending |
title_full_unstemmed |
Image Post-Processing Method for Quantification of Cracking in RC Precast Beams under Bending |
title_sort |
image post-processing method for quantification of cracking in rc precast beams under bending |
publisher |
MDPI AG |
series |
Buildings |
issn |
2075-5309 |
publishDate |
2018-11-01 |
description |
Image processing methods are increasingly used in civil engineering, especially in the maintenance of concrete structures. Current digital cameras and post-processing methods allow verifying qualitatively the state of conservation of wide areas of concrete in dams and bridges. When dealing with building refurbishments and rehabilitation, it is important to verify that existing structural elements fit the requirements of the standards; in the case of structures formed by traditional RC joists, cracking of the bottom-face provides information about the serviceability of these elements. This research proposed and put in practice through experimental tests an image post-processing method for quantification of cracking (five specimens were used and calibrated). Based on a sequence of shots and through a complex step-by-step post-processing, cracks were identified and measured to calibrate this method for real purposes. The method quantifies the crack opening width and spacing by analyzing the bottom-face of the joists through the shots. Measured values of crack spacing are very similar to those predicted by the standards, while the values of crack opening width differ more from theoretical ones due to the scattering of results. However, the proposed method has been proved as suitable and useful for fast inspections of RC elements under bending. |
topic |
image-based analysis crack detection serviceability durability |
url |
https://www.mdpi.com/2075-5309/8/11/158 |
work_keys_str_mv |
AT albertalbaredavalls imagepostprocessingmethodforquantificationofcrackinginrcprecastbeamsunderbending AT alejandrabustosherrera imagepostprocessingmethodforquantificationofcrackinginrcprecastbeamsunderbending AT joanlluiszamoramestre imagepostprocessingmethodforquantificationofcrackinginrcprecastbeamsunderbending AT saeidszaribaf imagepostprocessingmethodforquantificationofcrackinginrcprecastbeamsunderbending |
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