DISPLACEMENT MEASUREMENT IN SAWN WOOD AND WOOD PANELS BEAMS USING THE PARTICLE IMAGE VELOCIMETRY

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Rodrigo Allan Pereira Francisco Carlos Gomes Roberto Alves Braga Jr. Fernando Pujaico Rivera

Abstract

Structures demand, throughout their useful life, monitoring to verify their conditions of use. Thus, the need arises to seek methodologies capable of evaluating displacements and deformations in structural components of buildings. The objective of this research was to evaluate the use of the particle image velocimetry (PIV) technique to measure deformation in test specimens submitted to static bending test. The PIV technique measures variations of position of a region in an object from consecutive images of a loading session. The tests were applied on wood of Pinus oocarpa and Eucalyptus grandis, plywood panels, laminated veneer lumber (LVL) and oriented strand board (OSB). The results obtained by the PIV technique were compared to values ​​obtained from dial indicators. It was verified that in all the materials tested, the PIV technique presented results similar to those found in the dial indicators. By means of the Student t test, with a significance level of 1%, it was observed that in some regions of analysis the values ​​found by the PIV technique and the dial indicators were statistically the same. For the analyzed regions that did not achieve statistical equality, a correction equation was calculated (R² higher than 0.99). It was concluded that the PIV technique, with properly adjusted setup, presented similar results to those obtained in the conventional tests, thus proving its accuracy and reliability in displacement and deformation measurements, with the advantage of a non-destructive and contactless technique monitoring of structures.

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How to Cite
PEREIRA, Rodrigo Allan et al. DISPLACEMENT MEASUREMENT IN SAWN WOOD AND WOOD PANELS BEAMS USING THE PARTICLE IMAGE VELOCIMETRY. CERNE, [S.l.], v. 25, n. 1, p. 110-118, apr. 2019. ISSN 2317-6342. Available at: <http://cerne.ufla.br/site/index.php/CERNE/article/view/2032>. Date accessed: 18 aug. 2019.
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