Comparative study and optimization of the mechanical behavior of sandwich beams loaded in three point bending

The sandwich material presents a certain interest in term of rigidity and specific resistance for the aeronautic structure design. The study of this material meets always the choice problem of their constituents (coating and core) in order to find the optimal mechanical characteristic. The aim of th...

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Main Authors: Fairouz Bourouis, Fayçal Mili
Format: Article
Language:English
Published: University Amar Telidji of Laghouat 2018-06-01
Series:Journal of Building Materials and Structures
Subjects:
Online Access:http://journals.lagh-univ.dz/index.php/jbms/article/view/42
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author Fairouz Bourouis
Fayçal Mili
author_facet Fairouz Bourouis
Fayçal Mili
author_sort Fairouz Bourouis
collection DOAJ
description The sandwich material presents a certain interest in term of rigidity and specific resistance for the aeronautic structure design. The study of this material meets always the choice problem of their constituents (coating and core) in order to find the optimal mechanical characteristic. The aim of this work is to do a comparative study of the mechanical behavior of the sandwich beams loaded in three point bending. The structures considered consist of two skins of composite material with unidirectional fibers of six plies Glass/epoxy, Carbon/epoxy or Kevlar/epoxy of stacking sequence [0°/90°]3s and [45°/-45°]3s and the core is in Alporas , Corecel, PVC, or Polyurethane foams. The different results obtained from the Matlab code showed that the correct choice of the material of the coatings and of the core that improves the mechanical behavior of the sandwich beam. In order to increase the performance of sandwich beams, in three points bending, an optimization program based on the principles of genetic algorithms has been developed to maximize the tensile strength of face yielding and face wrinkling failure modes. The equations used to evaluate the individuals in population results from the classical laminate theory with transverse shear stresses and discrete variables. Operators of genetic algorithms (selection, crossover and mutation) are applied to the children of a hundred generations. To achieve optimal solutions, the result appeared effective despite all the non-deterministic nature of genetic algorithms. But, to achieve maximum effectiveness, it’s important to choose smartly the parameters of genetic algorithms depending on the nature of the problem studied and the mechanical characteristics of the function to be optimized.
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spelling doaj.art-2500be7b3f124826beefd849fba50fb32022-12-21T18:24:07ZengUniversity Amar Telidji of LaghouatJournal of Building Materials and Structures2353-00572018-06-0151324210.5281/zenodo.128595642Comparative study and optimization of the mechanical behavior of sandwich beams loaded in three point bendingFairouz Bourouis0Fayçal Mili1University of Mentouri Brothers Constantine 1, Faculty of Engineering Science, Laboratory of Mechanics Chaab Ersas 25000 ConstantineUniversity of Mentouri Brothers Constantine 1, Faculty of Engineering Science, Laboratory of Mechanics Chaab Ersas 25000 ConstantineThe sandwich material presents a certain interest in term of rigidity and specific resistance for the aeronautic structure design. The study of this material meets always the choice problem of their constituents (coating and core) in order to find the optimal mechanical characteristic. The aim of this work is to do a comparative study of the mechanical behavior of the sandwich beams loaded in three point bending. The structures considered consist of two skins of composite material with unidirectional fibers of six plies Glass/epoxy, Carbon/epoxy or Kevlar/epoxy of stacking sequence [0°/90°]3s and [45°/-45°]3s and the core is in Alporas , Corecel, PVC, or Polyurethane foams. The different results obtained from the Matlab code showed that the correct choice of the material of the coatings and of the core that improves the mechanical behavior of the sandwich beam. In order to increase the performance of sandwich beams, in three points bending, an optimization program based on the principles of genetic algorithms has been developed to maximize the tensile strength of face yielding and face wrinkling failure modes. The equations used to evaluate the individuals in population results from the classical laminate theory with transverse shear stresses and discrete variables. Operators of genetic algorithms (selection, crossover and mutation) are applied to the children of a hundred generations. To achieve optimal solutions, the result appeared effective despite all the non-deterministic nature of genetic algorithms. But, to achieve maximum effectiveness, it’s important to choose smartly the parameters of genetic algorithms depending on the nature of the problem studied and the mechanical characteristics of the function to be optimized.http://journals.lagh-univ.dz/index.php/jbms/article/view/42sandwich beamthree point bendingface wrinklingface yieldinggenetic algorithm
spellingShingle Fairouz Bourouis
Fayçal Mili
Comparative study and optimization of the mechanical behavior of sandwich beams loaded in three point bending
Journal of Building Materials and Structures
sandwich beam
three point bending
face wrinkling
face yielding
genetic algorithm
title Comparative study and optimization of the mechanical behavior of sandwich beams loaded in three point bending
title_full Comparative study and optimization of the mechanical behavior of sandwich beams loaded in three point bending
title_fullStr Comparative study and optimization of the mechanical behavior of sandwich beams loaded in three point bending
title_full_unstemmed Comparative study and optimization of the mechanical behavior of sandwich beams loaded in three point bending
title_short Comparative study and optimization of the mechanical behavior of sandwich beams loaded in three point bending
title_sort comparative study and optimization of the mechanical behavior of sandwich beams loaded in three point bending
topic sandwich beam
three point bending
face wrinkling
face yielding
genetic algorithm
url http://journals.lagh-univ.dz/index.php/jbms/article/view/42
work_keys_str_mv AT fairouzbourouis comparativestudyandoptimizationofthemechanicalbehaviorofsandwichbeamsloadedinthreepointbending
AT faycalmili comparativestudyandoptimizationofthemechanicalbehaviorofsandwichbeamsloadedinthreepointbending