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vol.25 número2CHANGES IN THE SOIL STRUCTURE AND ORGANIC MATTER DYNAMICS UNDER DIFFERENT PLANT COVERSMODELING AND SIMULATING LAND USE/COVER CHANGE USING ARTIFICIAL NEURAL NETWORK FROM REMOTELY SENSING DATA índice de autoresíndice de assuntospesquisa de artigos
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CERNE

versão impressa ISSN 0104-7760versão On-line ISSN 2317-6342

Resumo

GUEDES, Taiane Oliveira; PEREIRA, Rodrigo Allan; RIVIEIRA, Fernando Pujaico  e  SILVA, José Reinaldo Moreira da. PARTICLE IMAGE VELOCIMETRY FOR ESTIMATING THE YOUNG’S MODULUS OF WOOD SPECIMENS. CERNE [online]. 2019, vol.25, n.2, pp.240-245.  Epub 09-Set-2019. ISSN 2317-6342.  http://dx.doi.org/10.1590/01047760201925022633.

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.

Palavras-chave : PIV; Modulus of elasticity; Solid mechanics; Measure techniques.

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