Displacement Measurement in Sawn Wood and Wood Panel Beams Using Particle Image Velocimetry

Pereira, Rodrigo Allan; Gomes, Francisco Carlos; Braga, Roberto A.; Rivera, Fernando Pujaico

doi:10.1590/01047760201925012619

Cited by 4 publications

(7 citation statements)

References 7 publications

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“…and 0.75 for Eucalyptus cloeziana, indicating a correlation between the values when comparing the conventional with the PIV technique. The same occurred in our study, which presented R 2 always higher than 0.92 Pereira et al (2019). studied the measurement of displacement in saw wood and panel wood using…”

supporting

confidence: 87%

Particle image velocimetry and digital image correlation for determining the elasticity modulus in wood

Lima

Gomes

Pereira

et al. 2022

Sci. agric. (Piracicaba, Braz.)

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supporting

confidence: 87%

Particle image velocimetry and digital image correlation for determining the elasticity modulus in wood

Lima

Gomes

Pereira

et al. 2022

Sci. agric. (Piracicaba, Braz.)

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“…Conventional testing techniques used to analyze physical and mechanical properties of materials, such as the modulus of elasticity, usually require high processing time, specific equipment, a large number of samples and cause permanent damage to the material tested, making it unusable. Thus, non-destructive testing techniques become an option to determine the properties of materials in-service, usually requiring shorter application time and cost when compared to destructive tests (Pereira et al 2019, Zahedi et al 2020).…”

Section: Introductionmentioning

confidence: 99%

“…The Particle Image Velocimetry technique originated from the gaseous materials study field (Raffel et al 2018). The technique was adapted to study the movement of solid materials through the analysis of images captured from samples marked with random points, at first using a laser (Braga-Júnior et al 2015) and, more recently, using ink particles drawn on the sample surface (Pereira et al 2019, Novosel et al 2021. The time gap between photos is predefined and must contemplate the changes that occur in the material during the load application.…”

Section: Introductionmentioning

confidence: 99%

“…The time gap between photos is predefined and must contemplate the changes that occur in the material during the load application. These images are processed in a computational algorithm that calculates the displacement that occurred on the surface of the studied object (Pereira et al 2019). Guedes et al (2019) determined the modulus of elasticity of Cedrela spp.…”

Section: Introductionmentioning

confidence: 99%

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Particle image velocimetry technique and ultrasound method to obtain the modulus of elasticity of Bertholletia excelsa wood

Miranda

Guedes

Ferreira

et al. 2022

Maderas, Cienc. tecnol.

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Non-destructive techniques for characterizing materials in-service have been increasing in importance. Thus, it is relevant to assess the potential of non-destructive techniques for solid materials. This work aimed to determine the modulus of elasticity of Bertholletia excelsa wood using the particle image velocimetry technique and the ultrasound method to compare the results with the conventional methodology. For this purpose, samples of Bertholletia excelsa were made using a circular saw. The samples were evaluated for sound propagation to calculate the modulus of elasticity using ultrasound equipment. Subsequently, they were subjected to the compression parallel to grain test in a universal testing machine. The samples were marked and monitored during the loading session, with the repeated capture of images using a professional camera. The deformation values obtained were used to estimate the modulus of elasticity using the particle image velocimetry technique. The mean values of modulus of elasticity found were 17403 MPa for ultrasound, 15589 MPa for the particle image velocimetry technique, and 15333 MPa for the universal testing machine. The particle image velocimetry technique was considered to be statistically similar (Tukey α = 0,05) to the other methods tested. The linear coefficient of determination (R 2 ) between the particle image velocimetry technique and the universal testing machine was 0,95, a high and satisfactory value. Thus, the particle image velocimetry technique and the ultrasound method are valid to estimate the modulus of elasticity of Bertholletia excelsa wood and possibly of woods with similar technological characteristics.

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“…This new methodology allows the algorithm to be fed with assay information and to provide the deformation occurred (Pereira, 2018). Pereira et al (2019) have successfully applied PIV on specimens of Pinus oocarpa and Eucalyptus grandis wood and also in plywood panels, laminated veneer lumber and oriented strand boards.…”

Section: Introductionmentioning

confidence: 99%

Particle Image Velocimetry for Estimating the Young’s Modulus of Wood Specimens

Guedes

Pereira

Rivieira

et al. 2019

CERNE

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Proposing technological innovations in the investigation of the structure and behaviour of wood is important to optimize its use. The assimilation of methods diffused in other areas, such as particle image velocimetry (PIV), can allow a rich range of information for different aspects. The aim of this study was to estimate the Young's modulus using the PIV technique, independently of the wood density. The Young modulus value was obtained by universal testing machine, transversal vibration and PIV technique. Cedrela spp. and Eucalyptus cloeziana wood specimens were analyzed and their Young modulus were compared and correlated. The PIV technique presented mean Young's modulus values statistically equal to those of the universal testing machine. The standard error of prediction from PIV approach was 0.46 and 0.97 GPa for Young's modulus estimates for Cedrela spp. and Eucalyptus cloeziana wood, respectively. v.25 n.2 2019 241 CERNE GUEDES et al.

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Displacement Measurement in Sawn Wood and Wood Panel Beams Using Particle Image Velocimetry

Abstract: A methodology for measuring deformations using the PIV technique is proposed. The PIV technique uses a comparison between two images to calculate the displacement. The use of the PIV technique allows obtaining a deformation map of the material surface.

Cited by 4 publications

References 7 publications

Particle image velocimetry and digital image correlation for determining the elasticity modulus in wood

Particle image velocimetry and digital image correlation for determining the elasticity modulus in wood

Particle image velocimetry technique and ultrasound method to obtain the modulus of elasticity of Bertholletia excelsa wood

Particle Image Velocimetry for Estimating the Young’s Modulus of Wood Specimens

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