Intelligent Computational Methods for Optimal Distribution of Friction Dampers in Seismic Protection of Buildings

Mert Can Kurucu*, Ercan Atam, Mujde Guzelkaya, Ibrahim Eksin

*Bu çalışma için yazışmadan sorumlu yazar

Araştırma sonucu: Dergiye katkıMakalebilirkişi

1 Atıf (Scopus)

Özet

Seismic protection of multi-story buildings using friction dampers (FDs) is a cheap and effective passive structural control solution. For optimization of system response, optimal distribution of FDs between floors is required, which is a challenging problem. In this paper, we propose novel intelligent computational methods based on reinforcement learning for the distribution of n FDs for m-story buildings. In order to demonstrate the effectiveness of the proposed methods, a case study of optimally distributing 16 FDs in a 3-story building is considered, and the results are compared with the optimal solution found from a statistical analysis based on a large number of earthquake accelerations.

Orijinal dilİngilizce
Sayfa (başlangıç-bitiş)3055-3066
Sayfa sayısı12
DergiIEEE Transactions on Emerging Topics in Computational Intelligence
Hacim8
Basın numarası4
DOI'lar
Yayın durumuYayınlandı - 2024

Bibliyografik not

Publisher Copyright:
© 2017 IEEE.

Parmak izi

Intelligent Computational Methods for Optimal Distribution of Friction Dampers in Seismic Protection of Buildings' araştırma başlıklarına git. Birlikte benzersiz bir parmak izi oluştururlar.

Alıntı Yap