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

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

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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 <inline-formula><tex-math notation="LaTeX">$n$</tex-math></inline-formula> FDs for <inline-formula><tex-math notation="LaTeX">$m$</tex-math></inline-formula>-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)1-12
Sayfa sayısı12
DergiIEEE Transactions on Emerging Topics in Computational Intelligence
DOI'lar
Yayın durumuKabul Edilmiş/Basında - 2024

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IEEE

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