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Image-based techniques for initial and long-term characterization of crack kinematics in reinforced concrete structures

Baptiste Vincens, Enrique Corres, Aurelio Muttoni

2024Engineering Structures14 citationsDOIOpen Access PDF

Abstract

In the recent years, Digital Image Correlation (DIC) was applied with very promising results to monitor cracks in reinforced concrete structures. However, current DIC measurements present some limitations to characterize the existing crack (already present in the reference image) and for long-term monitoring due to the principles of the correlation algorithm. This paper presents two techniques to complement DIC in these two cases. The first one is based on direct detection using existing algorithms. The second one is based on the detection of markers fixed around the crack. Their relative position in different images is used to compute the crack displacement that occurred between the inspections. A conventional DIC set-up can be used for this technique. Simplified and refined methods are proposed to quantify the measurement uncertainty and to determine the number and position of markers. Both techniques are validated in laboratory conditions and in-situ in an existing concrete bridge. The combination of the two presented techniques with conventional DIC is promising and could be of interest for applications with complicated crack patterns where a detailed understanding of the crack kinematics is required.

Topics & Concepts

Digital image correlationPosition (finance)Structural engineeringKinematicsDisplacement (psychology)Computer scienceCharacterization (materials science)Image (mathematics)Set (abstract data type)Term (time)EngineeringArtificial intelligenceMaterials scienceEconomicsClassical mechanicsFinanceNanotechnologyComposite materialProgramming languagePhysicsPsychotherapistQuantum mechanicsPsychologyInfrastructure Maintenance and MonitoringStructural Health Monitoring TechniquesOptical measurement and interference techniques