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Application of Fiber Undulation Model to Predict Oriented Strand Composite Elastic Properties

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Composite Materials and Engineering Center, Washington State University, PO Box 641806, Pullman, Washington, USA 99164-1806

* Corresponding Author: email

Journal of Renewable Materials 2015, 3(3), 216-223. https://doi.org/10.7569/JRM.2015.634103

Abstract

The effects of strand undulation angles in wood-strand composites have often been ignored due to the virtual impossibility of experimental determination of their effects on composite material properties, and the diffi culty in modeling localized deviations in angle along the path of a strand. The fi ber undulation model (FUM), that has been previously verifi ed, was applied in this study to predict the elastic constants of laboratory-manufactured oriented strand panels. A stochastic approach was incorporated where a series rule of mixtures with probability density functions of angle distributions was utilized in the model to transform the elastic constants in the constitutive matrix of the material for in- and out-of-plane strand deviations. Based on a theoretical approach, a reduction in Ex due to strand undulations averaged about 7 percent over all confi gurations of test panels, indicating that localized out-of-plane strand deviations in commercially manufactured wood-strand composites should not signifi cantly affect longitudinal Young’s modulus.

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APA Style
Yadama, V., Wolcott, M.P. (2015). Application of fiber undulation model to predict oriented strand composite elastic properties. Journal of Renewable Materials, 3(3), 216-223. https://doi.org/10.7569/JRM.2015.634103
Vancouver Style
Yadama V, Wolcott MP. Application of fiber undulation model to predict oriented strand composite elastic properties. J Renew Mater. 2015;3(3):216-223 https://doi.org/10.7569/JRM.2015.634103
IEEE Style
V. Yadama and M.P. Wolcott, “Application of Fiber Undulation Model to Predict Oriented Strand Composite Elastic Properties,” J. Renew. Mater., vol. 3, no. 3, pp. 216-223, 2015. https://doi.org/10.7569/JRM.2015.634103



cc Copyright © 2015 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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