Design Optimization of Tuned Liquid Dampers with Hybrid Algorithms

Ocak A., NİGDELİ S. M., BEKDAŞ G.

6th International Conference on Intelligent Computing and Optimization, ICO 2023, Hua Hin, Tayland, 27 - 28 Nisan 2023, cilt.854 LNNS, ss.194-204, (Tam Metin Bildiri) identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası: 854 LNNS
  • Doi Numarası: 10.1007/978-3-031-50151-7_19
  • Basıldığı Şehir: Hua Hin
  • Basıldığı Ülke: Tayland
  • Sayfa Sayıları: ss.194-204
  • Anahtar Kelimeler: Hybrid algorithm, Jaya algorithm, Metaheuristic algorithm, Passive control, Teaching-learning-based optimization, Tuned liquid damper
  • İstanbul Gelişim Üniversitesi Adresli: Hayır

Özet

Tuned liquid damping devices are a low-cost, passive control system that does not require an external energy source and is effective in damping the dynamic vibrations of structures. Tuning the damper tank geometry and device parameters is important in optimizing the efficiency to be obtained from the control. In this study, tuned liquid damper (TLD) device parameters were optimized with algorithms created by hybridizing metaheuristic algorithms to minimize the structure movement. For this purpose, Jaya (JA) and Teaching-Learning Based Optimization (TLBO) algorithms were hybridized. By optimizing the properties of the TLD, the maximum displacement and total acceleration values of the structure under the critical earthquake record were reduced. In light of the results obtained, it was determined that hybrids may increase the performance of the algorithm in some cases.