TY - JOUR
T1 - Optimization of hybrid polymer composites under uniaxial traction
AU - Conde, Fábio Monteiro
AU - Coelho, Pedro Gonçalves
AU - Tavares, Rodrigo Paiva
AU - Camanho, Pedro Castro
AU - Guedes, José Miranda
AU - Rodrigues, Helder Carriço
N1 - info:eu-repo/grantAgreement/FCT/5876/147351/PT#
info:eu-repo/grantAgreement/FCT/5876/147353/PT#
This work was supported by the Portuguese Foundation for Science and Technology, FCT-Portugal, through the projects UID/EMS/00667/2013, UID/EMS/50022/2013, PTDC/EMS-PRO/4732/2014 and SFRH/BD/115872/2016.
PY - 2018/1/1
Y1 - 2018/1/1
N2 - Purpose: This study aims to achieve a “pseudo-ductile” behaviour in the response of hybrid fibre reinforced composites under uniaxial traction by solving properly formulated optimization problems. Design/methodology/approach: The composite material model is based on the combination of different types of fibres (with different failure strains or strengths) embedded in a polymer matrix. The composite failure under tensile load is predicted by analytical models. An optimization problem formulation is proposed and a Genetic Algorithm is used. Multi-objective optimization problems balancing failure strength and ductility criteria are solved providing optimal mixtures of fibres whose properties may come either from a pre-defined list of materials, currently available in the market, or simply assuming their continuum variation within predefined bounds, in an attempt to attain unprecedented performance levels. Findings: Optimal solutions of hybrid fibre reinforced composites exhibiting pseudo-ductile behaviour are presented. It is found that a fibre made from a material exhibiting relatively low stiffness combined with high strength is preferred for hybridization. Furthermore, the ratio of the average failure/critical strains between the low and high elongation fibres to be hybridized must be equal or greater than two. Originality/value: Typically, a ductile failure is an inherent property of metals, that is, their typical response curve after the linear (elastic) region exhibits a yielding plateau still followed by an increase in stress till collapse. In stark contrast, composite materials exhibit (under some loading conditions) brittle failure that may limit their widespread usage. Therefore, a “pseudo-ductility” in composites is valued and targeted through optimization which is the main original contribution here.
AB - Purpose: This study aims to achieve a “pseudo-ductile” behaviour in the response of hybrid fibre reinforced composites under uniaxial traction by solving properly formulated optimization problems. Design/methodology/approach: The composite material model is based on the combination of different types of fibres (with different failure strains or strengths) embedded in a polymer matrix. The composite failure under tensile load is predicted by analytical models. An optimization problem formulation is proposed and a Genetic Algorithm is used. Multi-objective optimization problems balancing failure strength and ductility criteria are solved providing optimal mixtures of fibres whose properties may come either from a pre-defined list of materials, currently available in the market, or simply assuming their continuum variation within predefined bounds, in an attempt to attain unprecedented performance levels. Findings: Optimal solutions of hybrid fibre reinforced composites exhibiting pseudo-ductile behaviour are presented. It is found that a fibre made from a material exhibiting relatively low stiffness combined with high strength is preferred for hybridization. Furthermore, the ratio of the average failure/critical strains between the low and high elongation fibres to be hybridized must be equal or greater than two. Originality/value: Typically, a ductile failure is an inherent property of metals, that is, their typical response curve after the linear (elastic) region exhibits a yielding plateau still followed by an increase in stress till collapse. In stark contrast, composite materials exhibit (under some loading conditions) brittle failure that may limit their widespread usage. Therefore, a “pseudo-ductility” in composites is valued and targeted through optimization which is the main original contribution here.
KW - Composites
KW - Genetic algorithm
KW - Hybridization
KW - Multi-objective
KW - Optimization
KW - Pseudo-ductility
UR - http://www.scopus.com/inward/record.url?scp=85046370228&partnerID=8YFLogxK
U2 - 10.1108/EC-11-2017-0427
DO - 10.1108/EC-11-2017-0427
M3 - Conference article
AN - SCOPUS:85046370228
SN - 0264-4401
VL - 35
SP - 904
EP - 931
JO - Engineering Computations (Swansea, Wales)
JF - Engineering Computations (Swansea, Wales)
IS - 2(SI)
T2 - ECCOMAS Thematic Conference on Computational Modelling of Multi-Uncertainty and Multi-Scale Problems
Y2 - 12 September 2017 through 14 September 2017
ER -