Optimization design for circular multi-cell thin-walled tubes with discrete and continuous design variables


Albak E. İ.

MECHANICS OF ADVANCED MATERIALS AND STRUCTURES, 2022 (Peer-Reviewed Journal) identifier

  • Publication Type: Article / Article
  • Publication Date: 2022
  • Doi Number: 10.1080/15376494.2022.2111735
  • Journal Name: MECHANICS OF ADVANCED MATERIALS AND STRUCTURES
  • Journal Indexes: Science Citation Index Expanded, Scopus, Academic Search Premier, Aerospace Database, Communication Abstracts, Compendex, INSPEC, Metadex, DIALNET, Civil Engineering Abstracts
  • Keywords: Discrete design variable, mixed variable, multi-cell thin-walled tube, crashworthiness optimization, artificial neural networks, theoretical prediction, ENERGY-ABSORPTION CHARACTERISTICS, CRASHWORTHINESS OPTIMIZATION, THEORETICAL PREDICTION, CRUSHING ANALYSIS, SQUARE TUBES, PERFORMANCE, THICKNESS, SECTIONS, ALUMINUM, IMPROVE

Abstract

Wall thickness and the number of cells are important elements affecting crashworthiness. While wall thickness is expressed as the continuous design variable, the number of ribs and the number of inner structures are defined as the discrete design variable. Specific energy absorption is determined as the objective, peak crushing force is selected as the constraint. Surrogate models of these functions are obtained with artificial neural networks. A loop has been developed for the selection of the ideal parameters. The study revealed that the use of discrete and continuous design variables together improves crashworthiness.