Nonlinear Constitutive Model for Anisotropic Biobased Composite Materials
Publication: Journal of Engineering Mechanics
Volume 140, Issue 11
Abstract
Biobased composites have been widely proposed in the literature as suitable replacements for a variety of engineered materials, with applications ranging from biomedical devices to automotive components to construction materials. Previous research has primarily focused on engineering biobased alternatives with mechanical and physical properties that either duplicate or exceed those of their synthetic counterparts. Although several elastic biobased composite design techniques have been proposed, modeling the complete material constitutive response, including the significant anisotropy and nonlinearity exhibited by many biobased composites, has not yet been explored. In this research, a transversely isotropic nonlinear constitutive model is modified and implemented in a finite-element framework to predict the mechanical response of natural woven fabric biopolymeric composites. A novel method for indirect calibration of constitutive model parameters from simple tension and flexure tests is proposed using a fiber section analysis and nonlinear optimization. Numerical predictions of anisotropic elastic and nonlinear hardening behavior are demonstrated in a comparison between experimental and finite-element analysis results for oriented hemp fabric–reinforced poly(3-hydroxybutyrate)-co-poly(3-hydroxyvalerate) (PHBV) polymer composites tested in flexure. Model results for 0, 45, and 90° and oriented laminates tested in uniaxial tension and three-point bending closely matched the results of experiments. This modeling technique is proposed within the context of developing effective design tools that facilitate the adoption of engineered biobased composites into practice.
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Acknowledgments
This research is made possible by financial support from the U.S. EPA Star Fellowship, Stanford University Leavell Fellowship, and the Woods Institute for the Environment at Stanford University. This work represents the views of the authors and not necessarily those of the sponsors. The Department of Civil and Environmental Engineering at Stanford University and Ph.D. candidate Sarah Miller are gratefully acknowledged.
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Information & Authors
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Published In
Journal of Engineering Mechanics
Volume 140 • Issue 11 • November 2014
Copyright
© 2014 American Society of Civil Engineers.
History
Received: Oct 11, 2012
Accepted: Jan 21, 2014
Published online: Apr 18, 2014
Discussion open until: Sep 18, 2014
Published in print: Nov 1, 2014
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