Title: A Novel Technique for Displacement Measurements in RC Beams using Digital Image Correlation

Author(s): Faouzi Ghrib, Amr El Ragaby, Boubakeur Boufama, Li. Li and Sara Memar

Publication: Symposium Paper

Volume: 298

Issue:

Appears on pages(s): 1-16

Keywords: Digital Image correlation, Reinforced concrete, FRP, Image matching.

DOI: 10.14359/51687086

Date: 6/5/2014

Abstract:
Recently, several infrastructure failures have highlighted the importance of structural inspection and increase awareness of the need for efficient structural health monitoring and damage detection techniques. The Development of non-contact monitoring technique that is efficient and requires little preparation to implement would greatly benefit the civil engineering and construction community. Close range photogrammetry is a non-contact measurement technique that can be used to monitor a specimen’s deformation as it undergoes loading. This research investigates utilising an image matching algorithm to measure the deflection profile of concrete beams. The present paper illustrates the efficiency of the image matching algorithm (digital image correlation) in measuring the full deflection profile along a concrete beam. Five reinforced concrete beams, 2400 mm (94.48 in.) long, 250 mm (10 in.) deep and 150 mm (6 in.) wide were tested under 4-point bending. Three different surface treatment configurations for the test specimen’s side faces as well as two types of longitudinal flexural reinforcement, steel and CFRP, were used. Two LVDTs were used to measure the deflection to validate the proposed digital image correlation algorithm. It was concluded that the image matching algorithm can be used efficiently to measure deflection profile of a flexural member. Despite all existing health monitoring techniques, image matching has the potential to reconstruct the deflection profile along the whole member length to evaluate its current structural behaviour.