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Original Articles

Novel approach combining two homogenization procedures for the analysis of nonwoven biocomposites

ORCID Icon, ORCID Icon, ORCID Icon, ORCID Icon & ORCID Icon
Pages 1167-1181 | Received 25 Jul 2022, Accepted 01 Oct 2022, Published online: 29 Nov 2022
 

Abstract

Composite materials with complex internal microstructures, such as the flax nonwoven bio-composite studied in this work, require advanced numerical models in order to predict their mechanical performance. Otherwise, the micro-structural interactions that take place between their components makes very difficult to obtain their mechanical properties and failure mechanisms. This paper presents a novel methodology that couples two homogenization formulations: a phenomenological one, the serial-parallel mixing theory; and a numerical multiscale procedure. The resulting methodology has a minimal computational cost, while it is capable to account for the different interactions that take place among the composite constituents. With the proposed approach, it is possible to characterize the mechanical response of nonwoven composites and to predict their structural failure. The methodology developed is applied to a flax nonwoven bio-composite manufactured and tested by the German Aerospace Center (DLR). The good results obtained from the simulation, when compared with the experimental values, allow considering the proposed procedure an excellent approach for the analysis of large structures made with complex microstructures, such as nonwoven biocomposites.

Acknowledgments

This work has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No 690638, from the Special Research Plan on Civil Aircraft of Ministry for Industry and Information of the People’s Republic of China (MIIT) under Grant No MJ-2015-H-G-103, and from the Spanish Ministerio de Economia y Competividad through the project MAT2014-60647-R, Multi-scale and multi-objective optimization of composite laminate structures (OMMC). All this support is gratefully acknowledged.

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