Optimization of hybrid polymer composites under uniaxial traction. Issue 2 (16th April 2018)
- Record Type:
- Journal Article
- Title:
- Optimization of hybrid polymer composites under uniaxial traction. Issue 2 (16th April 2018)
- Main Title:
- Optimization of hybrid polymer composites under uniaxial traction
- Authors:
- Conde, Fábio Monteiro
Coelho, Pedro Gonçalves
Tavares, Rodrigo Paiva
Camanho, Pedro Castro
Guedes, José Miranda
Rodrigues, Helder Carriço - Abstract:
- Abstract : 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) regionAbstract : 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. … (more)
- Is Part Of:
- Engineering computations. Volume 35:Issue 2(2018)
- Journal:
- Engineering computations
- Issue:
- Volume 35:Issue 2(2018)
- Issue Display:
- Volume 35, Issue 2 (2018)
- Year:
- 2018
- Volume:
- 35
- Issue:
- 2
- Issue Sort Value:
- 2018-0035-0002-0000
- Page Start:
- 904
- Page End:
- 931
- Publication Date:
- 2018-04-16
- Subjects:
- Genetic algorithm -- Optimization -- Composites -- Multi-objective -- Hybridization -- Pseudo-ductility
Computer-aided engineering -- Periodicals
Computer graphics -- Periodicals
620.00285 - Journal URLs:
- http://info.emeraldinsight.com/products/journals/journals.htm?id=ec ↗
http://www.emeraldinsight.com/journals.htm?issn=0264-4401 ↗
http://www.emeraldinsight.com/0264-4401.htm ↗
http://www.emeraldinsight.com/ ↗
http://firstsearch.oclc.org ↗ - DOI:
- 10.1108/EC-11-2017-0427 ↗
- Languages:
- English
- ISSNs:
- 0264-4401
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3758.580800
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 6418.xml