Geometry optimization on the cross section of adhesively bonded thin-walled composite beam subjected to axial crushing load

Adhesive bonding is widely used in structural connection of composite components due to its capacity to effectively avoid inducing stress concentration and damage in composite components. This work applies a design optimization methodology on the geometry of cross section and ply thicknes...

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Main Authors: Xiao Han, Jingru Ye, Shaoqiang Hou, Wenbin Hou
Format: Article
Language:English
Published: Academia.edu Journals 2024-03-01
Series:Academia Materials Science
Online Access:https://www.academia.edu/115816056/Geometry_optimization_on_the_cross_section_of_adhesively_bonded_thin_walled_composite_beam_subjected_to_axial_crushing_load
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author Xiao Han
Jingru Ye
Shaoqiang Hou
Wenbin Hou
author_facet Xiao Han
Jingru Ye
Shaoqiang Hou
Wenbin Hou
author_sort Xiao Han
collection DOAJ
description Adhesive bonding is widely used in structural connection of composite components due to its capacity to effectively avoid inducing stress concentration and damage in composite components. This work applies a design optimization methodology on the geometry of cross section and ply thickness in adhesively bonded CFRP (carbon fiber-reinforced plastic), hat-shaped, thin-walled beam in automobiles to achieve car body lightweight design. A multi-objective and multi-constraint design optimization problem was formulated to find the optimum key cross-section size and ply thickness of the hat thin-walled beam. The minimum total material cost and maximum energy absorption (EA) during the axial crushing test of the CFRP beam were selected as the optimization objectives. The non-dominated sorting genetic algorithm II (NSGA-II) was introduced to search for global optimum solution, and radial basis function (RBF) approximations for the objective functions were applied to reduce the computational cost. It was revealed that EA increased by 8.28%, while the total weight and cost decreased by 3.14% and 3.23%, respectively, and can thus provide a guidance in vehicle composite component design.
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id doaj-art-7fefbc3b04d742508c83c2b1d45dc2dc
institution Kabale University
issn 2997-2027
language English
publishDate 2024-03-01
publisher Academia.edu Journals
record_format Article
series Academia Materials Science
spelling doaj-art-7fefbc3b04d742508c83c2b1d45dc2dc2025-02-10T22:53:27ZengAcademia.edu JournalsAcademia Materials Science2997-20272024-03-011110.20935/AcadMatSci6181Geometry optimization on the cross section of adhesively bonded thin-walled composite beam subjected to axial crushing loadXiao Han0Jingru Ye1Shaoqiang Hou2Wenbin Hou3School of Mechanics and Aerospace Engineering, Dalian University of Technology, Dalian 116024, Liaoning, China.School of Mechanics and Aerospace Engineering, Dalian University of Technology, Dalian 116024, Liaoning, China.School of Mechanical Engineering, Dalian University of Technology, Dalian 116024, Liaoning, China.School of Mechanical Engineering, Dalian University of Technology, Dalian 116024, Liaoning, China. Adhesive bonding is widely used in structural connection of composite components due to its capacity to effectively avoid inducing stress concentration and damage in composite components. This work applies a design optimization methodology on the geometry of cross section and ply thickness in adhesively bonded CFRP (carbon fiber-reinforced plastic), hat-shaped, thin-walled beam in automobiles to achieve car body lightweight design. A multi-objective and multi-constraint design optimization problem was formulated to find the optimum key cross-section size and ply thickness of the hat thin-walled beam. The minimum total material cost and maximum energy absorption (EA) during the axial crushing test of the CFRP beam were selected as the optimization objectives. The non-dominated sorting genetic algorithm II (NSGA-II) was introduced to search for global optimum solution, and radial basis function (RBF) approximations for the objective functions were applied to reduce the computational cost. It was revealed that EA increased by 8.28%, while the total weight and cost decreased by 3.14% and 3.23%, respectively, and can thus provide a guidance in vehicle composite component design.https://www.academia.edu/115816056/Geometry_optimization_on_the_cross_section_of_adhesively_bonded_thin_walled_composite_beam_subjected_to_axial_crushing_load
spellingShingle Xiao Han
Jingru Ye
Shaoqiang Hou
Wenbin Hou
Geometry optimization on the cross section of adhesively bonded thin-walled composite beam subjected to axial crushing load
Academia Materials Science
title Geometry optimization on the cross section of adhesively bonded thin-walled composite beam subjected to axial crushing load
title_full Geometry optimization on the cross section of adhesively bonded thin-walled composite beam subjected to axial crushing load
title_fullStr Geometry optimization on the cross section of adhesively bonded thin-walled composite beam subjected to axial crushing load
title_full_unstemmed Geometry optimization on the cross section of adhesively bonded thin-walled composite beam subjected to axial crushing load
title_short Geometry optimization on the cross section of adhesively bonded thin-walled composite beam subjected to axial crushing load
title_sort geometry optimization on the cross section of adhesively bonded thin walled composite beam subjected to axial crushing load
url https://www.academia.edu/115816056/Geometry_optimization_on_the_cross_section_of_adhesively_bonded_thin_walled_composite_beam_subjected_to_axial_crushing_load
work_keys_str_mv AT xiaohan geometryoptimizationonthecrosssectionofadhesivelybondedthinwalledcompositebeamsubjectedtoaxialcrushingload
AT jingruye geometryoptimizationonthecrosssectionofadhesivelybondedthinwalledcompositebeamsubjectedtoaxialcrushingload
AT shaoqianghou geometryoptimizationonthecrosssectionofadhesivelybondedthinwalledcompositebeamsubjectedtoaxialcrushingload
AT wenbinhou geometryoptimizationonthecrosssectionofadhesivelybondedthinwalledcompositebeamsubjectedtoaxialcrushingload