A Numerical Failure Analysis of Multi-bolted Joints in FRP Laminates Based on Basalt Fibers☆

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Nerilli, Francesca; Marino, Michele; Vairo, Giuseppe: A Numerical Failure Analysis of Multi-bolted Joints in FRP Laminates Based on Basalt Fibers. In: Procedia Engineering 109 (2015), S. 492-506. DOI: https://doi.org/10.1016/j.proeng.2015.06.255

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This paper aims to model the progressive damage of multi-bolted joints connecting structural elements made up of FRP (fiber- reinforced polymers) composite laminates and comprising different fiber materials (namely, based on basalt, carbon and glass), as well as different stacking sequences. Differences in failure mode and ultimate-load values are numerically investigated. A numerical home-made finite element model has been conceived, implemented, and validated by means of available experimental data. The numerical model is based on an incremental displacement-based approach and on a plane-stress bi-dimensional for- mulation. The stress analysis has been performed by accounting for micro-structural stress-strain localization mechanisms, and describing the progressive damage process by implementing a failure criterion operating at the constituents’ scale (namely, the Huang's criterion). Proposed results have highlighted that bolted joints based on basalt-FRP laminates and defined by a double- bolted configuration exhibited bearing failure loads comparable to those computed for glass-FRP and carbon-FRP laminates. In the case of single-bolted joints, the use of carbon-FRP laminates allowed to obtain the best mechanical properties, although joints based on basalt-FRP laminates numerically-experienced mechanical response and strength features always comparable with those of glass-FRP.
License of this version: CC BY-NC-ND 4.0 Unported
Document Type: Article
Publishing status: publishedVersion
Issue Date: 2015
Appears in Collections:Fakultät für Maschinenbau

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1 image of flag of Germany Germany 58 41.13%
2 image of flag of United States United States 29 20.57%
3 image of flag of China China 17 12.06%
4 image of flag of Turkey Turkey 6 4.26%
5 image of flag of India India 6 4.26%
6 image of flag of Japan Japan 3 2.13%
7 image of flag of Iran, Islamic Republic of Iran, Islamic Republic of 3 2.13%
8 image of flag of United Kingdom United Kingdom 3 2.13%
9 image of flag of Spain Spain 3 2.13%
10 image of flag of Canada Canada 3 2.13%
    other countries 10 7.09%

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