Crashworthiness optimization of nested and concentric circular tubes using response surface methodology and genetic algorithm

Fatih Usta*, Zana Eren, Hasan Kurtaran, Halit S. Türkmen, Zafer Kazancı, Zahit Mecitoglu

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

15 Citations (Scopus)

Abstract

In this study crashworthiness optimization of nested and concentric circular tubes under impact loading is performed by coupling Finite Element model, Response Surface Models and Genetic Algorithm. Specific Energy Absorption (SEA) and Crash Force Efficiency (CFE) are used in crashworthiness optimization since these criteria are important indicators for evaluating crashworthiness performance. Length and thickness of three concentric tubes as well as radius of one tube are adopted as design variables which are effective parameters on SEA and CFE. To reduce the computational cost of the optimization procedure, simple and computationally cheap Response Surface Models are created to replace finite element analyses in further calculations. The Non‐dominated Sorting Genetic Algorithm –II (NSGAII) is applied to obtain the Pareto optimal solutions. Optimization results are presented for different selected designs that indicate relative importance of multi‐objective functions. Results show that the total weight of the vehicles can be reduced by using nested tubes comparing to single tubes with identical masses. These designs can be adopted for use in practice.

Original languageEnglish
Article numbere42
JournalLatin American Journal of Solids and Structures
Volume15
Issue number5
DOIs
Publication statusPublished - 2018

Bibliographical note

Publisher Copyright:
© 2018, Brazilian Association of Computational Mechanics. All rights reserved.

Funding

Support for this work has been provided by the Scientific and Technological Research Council of Turkey ሺTUBITAKሻ under Project Number 猃猃?M 甃笃省?

FundersFunder number
Scientific and Technological Research Council of Turkey ሺTUBITAKሻ

    Keywords

    • Crashworthiness
    • Genetic algorithm
    • Impact loading
    • Multi-objective optimization
    • Nested tube
    • Response surface method

    Fingerprint

    Dive into the research topics of 'Crashworthiness optimization of nested and concentric circular tubes using response surface methodology and genetic algorithm'. Together they form a unique fingerprint.

    Cite this