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|Title: ||Predicting static bending modulus of elasticity of tropical African hardwoods from density using a model based on longitudinal vibration|
|Authors: ||Ayarkwa, J.|
|Issue Date: ||1999|
|Publisher: ||Ghana J. of Forestry|
|Citation: ||Ghana J. of Forestry, vol. 8|
|Abstract: ||The longitudinal vibration technique was examined as a means of predicting static bending modulus of elasticity (ALOE) from wood density of tropical African hardwoods. Dynamic AIOFs measured using the longitudinal vibration test of large specimens of Obeche (Triplochiton scicroxylon), Makore (Ticghemclla hcckellii) and Aloabi (Baillonclla toxisperma) were 19. 6 and 12 %
respectively higher than static bending MOEs reported in the literature. Dynamic MOE it-as strongly correlated to wood density (r = 0.9-), and a linear regression model developed could predict static bending ALOE from wood densiiv when tested on some 42 commercial and secondary tropical African hardwoods, with percentage errors ranging up tot 7 %. In view of the lack ufproper laboratory wood testing machines in tropical developing African countries, the model is recommended as a useful and fast tool for predicting static modulus of elasticity of tropical timbers. especially the secondary species, from their wood densities. It may also be applicable in the finger jointing industry for sorting and matching random short lengths of timber for jointing together. Ifproper/v applied, the model is expected to lend support to sustainable tropical forest management and the efficient utilization
of tropical limber resources.
Keywords: Bending modulus of elasticity, Tropical hardwoods, Longitudinal vibration|
|Description: ||This is an article published by Ghana J. of Forestry in 1999.|
|Appears in Collections:||College of Architecture and Planning|
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