Study of high-strength CFRP bolted joints with failure- monitoring cone washers

Tsukasa KATSUMATA, Yoshihiro MIZUTANI, Akira TODOROKI, Ryosuke MATSUZAKI

PDF(358 KB)
PDF(358 KB)
Front. Mech. Eng. ›› 2011, Vol. 6 ›› Issue (3) : 272-276. DOI: 10.1007/s11465-011-0231-1
RESEARCH ARTICLE

Study of high-strength CFRP bolted joints with failure- monitoring cone washers

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Abstract

To increase the strength of carbon-fiber-reinforced plastic (CFRP) bolted joints, a method to increase the friction force between carbon-fiber-reinforced plastic members was proposed. The increase in failure load for the proposed joint was confirmed in finite-element method analyses and joint tests. Additionally, the feasibility of damage monitoring using surface strains of the cone washer was demonstrated.

Keywords

composite / bolted joint / failure monitoring / finite-element method

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Tsukasa KATSUMATA, Yoshihiro MIZUTANI, Akira TODOROKI, Ryosuke MATSUZAKI. Study of high-strength CFRP bolted joints with failure- monitoring cone washers. Front Mech Eng, 2011, 6(3): 272‒276 https://doi.org/10.1007/s11465-011-0231-1

References

[1]
Niu M C Y. Composite Airframe Structures. Hong Kong: Conmilit Press Ltd., 1992
[2]
Katsumata T, Mizutani Y, Todoroki A, Matsuzaki R. A fundamental study on static strength improvement of CFRP bolted joints by increasing friction force. Journal of Solid Mechanics and Materials Engineering, 2010, 4(6): 711–719
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[3]
MIL-HDBK-17-1F. Composite Materials Handbook Volume 1. Polymer Matrix Composites Guidelines for Characterization of Structural Materials, Department of Defense, 2002
[4]
Tserpes K I, Papanikos P, Kermanidis T. Three-dimensional progressive damage model for bolted joints in composite laminates subjected to tensile loading. Fatigue & Fracture of Engineering Materials & Structures, 2001, 24: 663–675
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