Laminates that exhibit high and negative Poisson’s ratios can be used as solid-state actuators, passive and active vibration dampers, and for morphing aircraft structures. Recently, fiber-reinforced elastomer (FRE) laminates have been fabricated that exhibit extreme (high and negative) Poisson’s ratios [1]. The current research explores twisted fiber bundle elastomeric laminates (both single and double helix) which are being investigated using experimentation, linear and non-linear finite element analysis (FEA). Twisted fiber bundles can be made from carbon fibers, fiberglass, etc, but for simplicity the current work uses twisted cotton string. It is observed that uniaxial fiber-reinforced elastomer laminates, where the fibers are twisted as shown in Figure 1, exhibit stress stiffening. Negative Poisson’s ratios may be produced if the fiber bundles have a double helical path as simulated by a series of laminated tubes. Future auxetic FRE laminates may be developed that do experience extreme shear.
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ASME 2008 Conference on Smart Materials, Adaptive Structures and Intelligent Systems
October 28–30, 2008
Ellicott City, Maryland, USA
Conference Sponsors:
- Aerospace Division
ISBN:
978-0-7918-4331-4
PROCEEDINGS PAPER
Testing and Simulation of Stress-Stiffening Extreme Poisson’s Ratio Twisted Fiber-Reinforced Elastomer Composites
Larry D. Peel,
Larry D. Peel
Texas A&M University - Kingsville, Kingsville, TX
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Madhuri Lingala
Madhuri Lingala
Texas A&M University - Kingsville, Kingsville, TX
Search for other works by this author on:
Larry D. Peel
Texas A&M University - Kingsville, Kingsville, TX
Madhuri Lingala
Texas A&M University - Kingsville, Kingsville, TX
Paper No:
SMASIS2008-526, pp. 103-111; 9 pages
Published Online:
July 13, 2009
Citation
Peel, LD, & Lingala, M. "Testing and Simulation of Stress-Stiffening Extreme Poisson’s Ratio Twisted Fiber-Reinforced Elastomer Composites." Proceedings of the ASME 2008 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. Smart Materials, Adaptive Structures and Intelligent Systems, Volume 1. Ellicott City, Maryland, USA. October 28–30, 2008. pp. 103-111. ASME. https://doi.org/10.1115/SMASIS2008-526
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