Abstract
Abstract This work aims to present a methodology for the elaboration of a deformation map in a Portland cement concrete specimen to predict fractures caused by axial compression stresses, using the technique of Digital Image Correlation - DIC 2D. For this purpose, 5 concrete specimens with compressive strength expected at 28 days fck of 40 MPa were analyzed, which were tested in the ABNT NBR 5739/2018 standard - compression test of cylindrical concrete specimens. During the test, the necessary digital images were acquired in the DIC-2D array. These images were subsequently processed, and the results interpreted statistically. According to the result of the correlation of images obtained, it was found that 67% of the specimens had regions of accumulation of stresses that indicated in advance the location of the rupture, which enabled the development of a fracture prediction map. The results obtained in the research showed that the methodology used by means of the DIC-2D arrangement was able to predict the place where the rupture in the specimens occurred.
Highlights
The use of concrete in habitable constructions imply the need for rigorous processes to monitor the integrity of the structure, in particular eventual flaws that may lead to collapse [01], [02].The microstructure of the concrete is heterogeneous and complex, making it difficult to develop realistic models of its microstructure that predict its behavior when deformed
3 RESULTS AND DISCUSSIONS From the methodology represented in Figure 4, the map shown in Figure 5 was developed, which describes the location where the largest and smallest deformations occurred, evidencing the recurrent changes in direction in the fracture propagation front, as the load increased
All images acquired with loading in relation to 30s, 27s, 24s, 21s, 18s, 15s, 12s, 9s, 6s, 3s, 0s, where 30s corresponds to the lowest deformation load and 0s corresponds to the maximum deformation load in the ultimate limit state
Summary
The microstructure of the concrete is heterogeneous and complex, making it difficult to develop realistic models of its microstructure that predict its behavior when deformed. This microstructure explains the great difference in values of tensile and compressive strength. The evolution of computers and improvement in the resolutions of digital cameras, made possible the analysis and quantification of small displacements caused by different stress levels from the overlapping of images [04], [05]. The revolution of digital images has boosted the possibilities of observation bringing with it resolutions that can reach 20 μm / pixel, and when associated with computational algorithms, they become a powerful tool combined with non-destructive diagnostic engineering. The revolution of digital images has boosted the possibilities of observation bringing with it resolutions that can reach 20 μm / pixel, and when associated with computational algorithms, they become a powerful tool combined with non-destructive diagnostic engineering. [08]
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