During the last decade investigation of the mechanical properties of bio-composites materials using natural fiber has considerably evolved from basic engineering studies to more fundamental topics [1, 2]. For instance, the bio-polymer materials are considered as unavoidable alternatives for the replacement of oil based materials. The limited development of the bio-plastics market is particularly affected by the weak mechanical performance of these materials. To overcome these difficulties, one should focus on both: manufacturing process and modelling aspect. The second aspect related to simulation is an important task in the loop of integrating new fibers in structured material. The parameters of the numerical model require indeed to be identified in order to fit the experimental testing [3,4].
In this report two aspects will be discussed: presentation of industrial applications using natural fibers to produce advances materials structural concepts (such as the blades of offshore wind-turbine, and thermal protection panels) will be performed. Then, focus on the recent numerical tools to perform parameter identification included hybrid approaches that combine heuristic methods and neural network surface response [5]. Elasticity properties of a fully bio-degradable composite model will be defined as a numerical application.
References:
(1) S. Guessasma, D. Bassir, L. Hedjazi, “Influence of interphase properties on the effective behaviour of a starch-hemp composite”, Materials & Design, Vols, 65, Pages 1053–1063, (Elsevier), 2015.
(2) S. Guessasma, ,M. Hbib and D. Bassir, “Identification Scheme to Assess the role of interfacial damage in a Hemp-Starch Biocomposite”, Advanced Materials Research, Vols. 875-877, pp. 524-528, 2014.
(3) S. Guessasma, D. Bassir, Identification of mechanical properties of biopolymer composites sensitive to interface effect using hybrid approach, Mechanics of Materials (Elsevier), Vol. 42, pp. 344-353, 2010.
(4) Guessasma, D. Bassir, Optimisation of mechanical properties of virtual porous solids using a hybrid approach, ActaMateriala, (Elsevier), Vol. 58, pp. 716-725, 2010.
(5) D. Bassir, S. Guessasma and M.L. Boubakar, Hybrid computational strategy based on ANN and GAPS: Application for identification of a non linear composite material, Journal of Composite Structures, (Elsevier), V 88, 2, pp. 262-270, 2009.