Teaching-Learning Based Optimization of Nonlinear Isolation Systems under Far Fault Earthquakes

Seda ÖNCÜ-DAVAS; Rasim TEMÜR; Cenk ALHAN

doi:https://doi.org/10.18400/tekderg.633636

Makale detayları

Teaching-Learning Based Optimization of Nonlinear Isolation Systems under Far Fault Earthquakes

Yazarlar:

Seda ÖNCÜ-DAVAS | Rasim TEMÜR | Cenk ALHAN

Yayıncı:

TMMOB İnşaat Mühendisleri Odası

Ana Başlıklar:

Uygulamalı fizik

Dergi:

Teknik Dergi 2022 Vol.33 Issue 1, pp.11487-11505

Belge Tipi:

Makale

Yayın Tarihi:

12/2021

Belge Dili:

İngilizce

Document ID (Org No.):

2000648287

Sıklık:

İki Aylık

pISSN:

1300-3453

DOI:

https://doi.org/10.18400/tekderg.633636

Özet:

 


Seismic isolation systems exposed to far-fault earthquakes can reduce floor accelerations and story drift ratios to acceptable levels. However, they exhibit different structural performances in each earthquake due to different excitation frequency contents. By optimizing the isolation system parameters, their performance may be maintained at the best level under different far-fault earthquakes. In this study, the optimization of the parameters of the nonlinear isolation system of a 5-story benchmark building is performed by Teaching-Learning Based Optimization (TLBO) algorithm to minimize peak floor accelerations under historical far-fault earthquakes with and without exceeding a specified base displacement limit. According to the results of the analyses, it can be said that TLBO algorithm is a robust algorithm with low standard deviations for determining optimum nonlinear isolation system parameters.


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Seismic isolation systems exposed to far-fault earthquakes can reduce floor accelerations and story drift ratios to acceptable levels. However, they exhibit different structural performances in each earthquake due to different excitation frequency contents. By optimizing the isolation system parameters, their performance may be maintained at the best level under different far-fault earthquakes. In this study, the optimization of the parameters of the nonlinear isolation system of a 5-story benchmark building is performed by Teaching-Learning Based Optimization (TLBO) algorithm to minimize peak floor accelerations under historical far-fault earthquakes with and without exceeding a specified base displacement limit. According to the results of the analyses, it can be said that TLBO algorithm is a robust algorithm with low standard deviations for determining optimum nonlinear isolation system parameters.


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Makale detayları

Teaching-Learning Based Optimization of Nonlinear Isolation Systems under Far Fault Earthquakes

Yazarlar: Seda ÖNCÜ-DAVAS | Rasim TEMÜR | Cenk ALHAN

Yayıncı: TMMOB İnşaat Mühendisleri Odası

Ana Başlıklar: Uygulamalı fizik

Dergi: Teknik Dergi 2022 Vol.33 Issue 1, pp.11487-11505

Belge Tipi: Makale

Yayın Tarihi: 12/2021

Belge Dili: İngilizce

Document ID (Org No.): 2000648287

Sıklık: İki Aylık

pISSN: 1300-3453

DOI: https://doi.org/10.18400/tekderg.633636

Sayı

Yazarlar:

Seda ÖNCÜ-DAVAS | Rasim TEMÜR | Cenk ALHAN

Yayıncı:

TMMOB İnşaat Mühendisleri Odası

Ana Başlıklar:

Uygulamalı fizik

Dergi:

Teknik Dergi 2022 Vol.33 Issue 1, pp.11487-11505

Belge Tipi:

Makale

Yayın Tarihi:

12/2021

Belge Dili:

İngilizce

Document ID (Org No.):

2000648287

Sıklık:

İki Aylık

pISSN:

1300-3453

DOI:

https://doi.org/10.18400/tekderg.633636