| People | Locations | Statistics |
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| Naji, M. |
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| Motta, Antonella |
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| Aletan, Dirar |
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| Mohamed, Tarek |
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| Ertürk, Emre |
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| Taccardi, Nicola |
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| Kononenko, Denys |
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| Petrov, R. H. | Madrid |
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| Alshaaer, Mazen | Brussels |
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| Bih, L. |
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| Casati, R. |
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| Muller, Hermance |
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| Kočí, Jan | Prague |
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| Šuljagić, Marija |
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| Kalteremidou, Kalliopi-Artemi | Brussels |
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| Azam, Siraj |
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| Ospanova, Alyiya |
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| Blanpain, Bart |
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| Ali, M. A. |
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| Popa, V. |
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| Rančić, M. |
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| Ollier, Nadège |
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| Azevedo, Nuno Monteiro |
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| Landes, Michael |
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| Rignanese, Gian-Marco |
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Bisagni, Chiara
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (13/13 displayed)
- 2024Resistance-welded thermoset compositescitations
- 2024Characterization and analysis of conduction welded thermoplastic composite joints considering the influence of manufacturingcitations
- 2023The importance of accounting for large deformation in continuum damage models in predicting matrix failure of compositescitations
- 2023Skin-stringer separation in post-buckling of butt-joint stiffened thermoplastic composite panelscitations
- 2022Experimental and numerical evaluation of conduction welded thermoplastic composite jointscitations
- 2022Damage arrest mechanisms in nanoparticle interleaved composite interfaces
- 2022Characterization and analysis of the interlaminar behavior of thermoplastic composites considering fiber bridging and R-curve effectscitations
- 2022FRACTURE TOUGHNESS AND PERFORMANCE OF RESISTANCE-WELDED AND CO-BONDED THERMOSET/THERMOPLASTIC POLYMER COMPOSITE HYBRID JOINTS
- 2021Multiscale damage in co-cured composites - Perspectives from experiments and modelling
- 2020Development of a Numerical Framework for Virtual Testing to Support Design of a Next Generation Thermoplastic Multifunctional Fuselagecitations
- 2019Geometrically nonlinear finite element model for predicting failure in composite structurescitations
- 2019Analysis and testing of a thermoplastic composite stiffened panel under compression
- 2018Virtual testing of thermoplastic composites
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article
Geometrically nonlinear finite element model for predicting failure in composite structures
Abstract
Composite structures are extensively used in many industries, where they are subjected to a variety of loads and may undergo large deformations. Reliable utilisation of such structures requires prior knowledge of their failure response. In order to predict failure loads and modes, accurate, yet computationally efficient, evaluation of three-dimensional (3D) stress fields becomes important. In this paper, we present a modelling approach, based on the Unified Formulation, that accounts for geometric nonlinearity in laminated composites and predicts 3D stress fields for subsequent failure analysis. The approach builds upon the hierarchical Serendipity Lagrange finite elements and is able to capture high-order shear deformation, as well as local cross-sectional warping. A total Lagrangian approach is adopted and the classic Newton-Raphson method is employed to solve the nonlinear governing equations. A key novelty of the proposed formulation is its completeness and its applicability to fully anisotropic structures. In other words, using the Green-Lagrange strain components within the Unified Formulation framework, the explicit form of the tangent stiffness matrix is derived including general stiffness properties. This new model is benchmarked against 3D finite element solution, as well as other formulations available in the literature, by means of static analyses of highly nonlinear, laminated composite beam-like structures. Significant computational efficiency gains over 3D finite elements are observed for similar levels of accuracy. Furthermore, to show the enhanced capabilities of the present formulation, the postbuckling response of a composite stiffened panel is compared with experimental results from the literature. The 3D stress fields computed in the postbuckling regime are used to detect failure of the stiffened panel. The corresponding failure mode, as obtained by the new model, is shown to match with the experiment.