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Finite Element modeling of Nomex® honeycomb cores : Failure and effective elastic properties
Corresponding author. E-mail: laurent.gornet@ec-nantes.fr. Cen-trale Nantes, GeM, UMR CNRS 6183, 1 Rue de la Noë, BP 92101,44321 Nantes Cedex 3, France
Email: Steven.marguet@ec-nantes.fr
Email: Gilles.marckmann@ec-nantes.fr
Computers, Materials & Continua 2006, 4(2), 63-74. https://doi.org/10.3970/cmc.2006.004.063
Abstract
The purpose of the present study is to determine the components of the effective elasticity tensor and the failure properties of Nomex® honeycomb cores. In order to carry out this study, the NidaCore software, a program dedicated to Nomex®Cores predictions, has been developed using the Finite Element tool Cast3M-CEA. This software is based on periodic homogenization techniques and on the modelling of structural instability phenomena. The homogenization of the periodic microstructure is realized thanks to a strain energy approach. It assumes the mechanical equivalence between the microstructures of a RVE and a similar homogeneous macroscopic volume. The key point of the modelling is that by determining the RVE buckling modes, the ultimate stress values of the homogenized core can be deduced. The numerical analysis shows an adequation between the first critical buckling modes computed and the ultimate stress values experimentally observed in standardized tests. This approach, strengthened by experimental data, makes it possible to devise a failure criterion. This criterion relies on the understanding of the mechanical effects caused by a local damage. In order to improve the reliability of the software, predicted mechanical properties are compared with data given by the Euro-Composite company and with results coming from crushing tests performed on sandwich specimens. This study brings out a powerful tool for the determination of the mechanical properties of most Nomex® honeycomb core used in nautical construction. The design of oceanic sailing race boats is one of its most outstanding practical applications.Keywords
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