TY  - JOUR
AB  - 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.
VL  - 33
IS  - 5
SN  - 0264-4401
DO  - 10.1108/EC-08-2015-0245
UR  - https://doi.org/10.1108/EC-08-2015-0245
AU  - Baykasoglu Adil
AU  - Baykasoglu Cengiz
PY  - 2016
Y1  - 2016/01/01
TI  - Crashworthiness optimization of circular tubes with functionally-graded thickness
T2  - Engineering Computations
PB  - Emerald Group Publishing Limited
SP  - 1560
EP  - 1585
Y2  - 2024/04/19
ER  -