Optimization of thin-wall structures using hybrid gravitational search and Nelder-Mead algorithm

Yildiz A. R., Kurtulus E., Demirci E., Yildiz B. S., Karagoz S.

MATERIALS TESTING, cilt.58, sa.1, ss.75-78, 2016 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 58 Sayı: 1
  • Basım Tarihi: 2016
  • Doi Numarası: 10.3139/120.110823
  • Dergi Adı: MATERIALS TESTING
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.75-78
  • Anahtar Kelimeler: Thin-wall structures, crashworthiness, automotive, optimization algorithm, DESIGN OPTIMIZATION, TOPOLOGY DESIGN, IMMUNE ALGORITHM, SHAPE DESIGN, FRAMEWORK
  • Bursa Uludağ Üniversitesi Adresli: Evet

Özet

In literature, a lot of research works have been presented on crashworthiness in order to develop crash performance of vehicles and thin-wall structures. In this research, a new hybrid optimization algorithm based on gravitational search algorithm and Nelder-Mead algorithm is introduced to improve crash performance of vehicles during frontal impact. The results show that the hybrid approach is very effective to develop crash performance of the vehicle components and thin-wall structures.