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

Albak E. İ.

MECHANICS OF ADVANCED MATERIALS AND STRUCTURES, cilt.30, sa.24, ss.5091-5105, 2023 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 30 Sayı: 24
  • Basım Tarihi: 2023
  • Doi Numarası: 10.1080/15376494.2022.2111735
  • Dergi Adı: MECHANICS OF ADVANCED MATERIALS AND STRUCTURES
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, Aerospace Database, Communication Abstracts, Compendex, INSPEC, Metadex, DIALNET, Civil Engineering Abstracts
  • Sayfa Sayıları: ss.5091-5105
  • Anahtar Kelimeler: 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
  • Bursa Uludağ Üniversitesi Adresli: Evet

Özet

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.