scholarly journals Crashworthiness analysis and multiobjective optimization for circular tubes with functionally graded thickness under multiple loading angles

2017 ◽  
Vol 9 (4) ◽  
pp. 168781401769666 ◽  
Author(s):  
Shuguang Yao ◽  
Yi Xing ◽  
Kai Zhao
Keyword(s):  
Multiobjective Optimization ◽  
Functionally Graded ◽  
Circular Tubes ◽  
Multiple Loading ◽  
Crashworthiness Analysis ◽  
Graded Thickness

scholarly journals Crashworthiness analysis of octagonal multi-cell tube with functionally graded thickness under multiple loading angles

2017 ◽  
Vol 110 ◽  
pp. 133-139 ◽  
Author(s):  
Yafeng Chen ◽  
Zhonghao Bai ◽  
Linwei Zhang ◽  
Yulong Wang ◽  
Guangyong Sun ◽  
...  
Keyword(s):  
Functionally Graded ◽  
Multiple Loading ◽  
Crashworthiness Analysis ◽  
Graded Thickness

Multiple objective crashworthiness optimization of circular tubes with functionally graded thickness via artificial neural networks and genetic algorithms

2016 ◽  
Vol 231 (11) ◽  
pp. 2005-2016 ◽  
Author(s):  
Adil Baykasoğlu ◽  
Cengiz Baykasoğlu
Keyword(s):  
Neural Networks ◽  
Genetic Algorithms ◽  
Artificial Neural Networks ◽  
Functionally Graded ◽  
Design Parameters ◽  
Multiple Objective ◽  
Circular Tubes ◽  
Crashworthiness Optimization ◽  
Artificial Neural ◽  
Graded Thickness

The objective of this paper is to develop a multiple objective optimization procedure for crashworthiness optimization of circular tubes having functionally graded thickness. The proposed optimization approach is based on finite element analyses for construction of sample design space and verification; artificial neural networks for predicting objective functions values (peak crash force and specific energy absorption) for design parameters; and genetic algorithms for generating design parameters alternatives and determining optimal combination of them. The proposed approach seaminglesly integrates artificial neural networks and genetic algorithms. Artificial neural network acts as an objective function evaluator within the multiple objective genetic algorithms. We have shown that the proposed approach is able to generate Pareto optimal designs which are in a very good agreement with the finite element results.

Crashworthiness optimization of circular tubes with functionally-graded thickness

2016 ◽  
Vol 33 (5) ◽  
pp. 1560-1585 ◽  
Author(s):  
Adil Baykasoglu ◽  
Cengiz Baykasoglu
Keyword(s):  
Gene Expression Programming ◽  
Functionally Graded ◽  
Least Square ◽  
Design Parameters ◽  
Optimization Approach ◽  
Content Type ◽  
Circular Tubes ◽  
Multi Objective ◽  
Crashworthiness Optimization ◽  
Graded Thickness

Purpose – The purpose of this paper is to develop a new multi-objective optimization procedure for crashworthiness optimization of thin-walled structures especially circular tubes with functionally graded thickness. Design/methodology/approach – The proposed optimization approach is based on finite element analyses for construction of sample design space and verification; gene-expression programming (GEP) for generating algebraic equations (meta-models) to compute objective functions values (peak crash force and specific energy absorption) for design parameters; multi-objective genetic algorithms for generating design parameters alternatives and determining optimal combination of them. The authors have also utilized linear and non-linear least square regression meta-models as a benchmark for GEP. Findings – It is shown that the proposed approach is able to generate Pareto optimal designs which are in a very good agreement with the actual results. Originality/value – The paper presents the application of a genetic programming-based method, namely, GEP first time in the literature. The proposed approach can be used to all kinds of related crashworthiness problems.

scholarly journals Deformation and energy absorption of additively manufactured functionally graded thickness thin-walled circular tubes under lateral crushing

2021 ◽  
Vol 226 ◽  
pp. 111324 ◽  
Author(s):  
Ahmad Baroutaji ◽  
Arun Arjunan ◽  
Mark Stanford ◽  
John Robinson ◽  
Abdul Ghani Olabi
Keyword(s):  
Energy Absorption ◽  
Functionally Graded ◽  
Circular Tubes ◽  
Thin Walled ◽  
Graded Thickness

Multiobjective optimization of functionally graded material plates with thermo-mechanical loading

2019 ◽  
Vol 207 ◽  
pp. 845-857 ◽  
Author(s):  
Victor M. Franco Correia ◽  
J.F. Aguilar Madeira ◽  
Aurélio L. Araújo ◽  
Cristóvão M. Mota Soares
Keyword(s):  
Multiobjective Optimization ◽  
Mechanical Loading ◽  
Functionally Graded Material ◽  
Functionally Graded ◽  
Graded Material

Multiobjective optimization for tapered circular tubes

2011 ◽  
Vol 49 (7) ◽  
pp. 855-863 ◽  
Author(s):  
Shujuan Hou ◽  
Xu Han ◽  
Guangyong Sun ◽  
Shuyao Long ◽  
Wei Li ◽  
...  
Keyword(s):  
Multiobjective Optimization ◽  
Circular Tubes

Multiobjective optimization of ceramic-metal functionally graded plates using a higher order model

2018 ◽  
Vol 183 ◽  
pp. 146-160 ◽  
Author(s):  
Victor M. Franco Correia ◽  
J.F. Aguilar Madeira ◽  
Aurélio L. Araújo ◽  
Cristóvão M. Mota Soares
Keyword(s):  
Multiobjective Optimization ◽  
Higher Order ◽  
Functionally Graded ◽  
Functionally Graded Plates ◽  
Order Model
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