Influence of sensor density on seismic damage assessment: A case study for istanbul

Name: Influence of sensor density on seismic damage assessment: A case study for istanbul
Author: Cheng, Q., Fei, Y., Lu, X., Liao, W., Zhang, W., Chen, P. Y., Kurtuluş, Aslı, Ghahari, F., Vela, V., Taciroglu, E.

İsim	Influence of sensor density on seismic damage assessment: A case study for istanbul
Yazar	Cheng, Q., Fei, Y., Lu, X., Liao, W., Zhang, W., Chen, P. Y., Kurtuluş, Aslı, Ghahari, F., Vela, V., Taciroglu, E.
Basım Tarihi:	2022-08
Basım Yeri	- Seismological Society of America
Tür	Süreli Yayın
Dil	İngilizce
Dijital	Evet
Yazma	Hayır
Kütüphane:	Özyeğin Üniversitesi
Demirbaş Numarası	0037-1106
Kayıt Numarası	18abf7af-e0c3-4e95-b42e-f89f84785657
Lokasyon	Civil Engineering
Tarih	2022-08
Notlar	Tencent Foundation ; Tsinghua University ; TÜBİTAK ; National Key Research and Development Program of China
Örnek Metin	The strong ground motions (GMs) recorded by strong motion networks are significant to increase the accuracy of seismic damage assessment. However, the influence of sensor density on seismic damage assessment remains unclarified. Therefore, a workflow is proposed in this study to quantitatively analyze the influence of sensor density on seismic damage assessment. The scenario-based earthquake simulation method is first used to provide the time history of GM at each location as the ground truth of the analysis. Subsequently, a GM prediction method, namely the interpolation method, is adopted to predict GMs at locations without sensors using measuring data from the limited sensors. Finally, the building scale and region scale seismic damage under different sensor densities are compared to quantitatively analyze the influence of sensor density on seismic damage assessment. A detailed case study for Zeytinburnu District, Istanbul, Turkey, is performed to demonstrate the proposed methods. The findings of this study can provide an important reference for seismic damage assessment and the deployment of strong motion networks.
DOI	10.1785/0120220005
Cilt	112

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Influence of sensor density on seismic damage assessment: A case study for istanbul

Yazar Cheng, Q., Fei, Y., Lu, X., Liao, W., Zhang, W., Chen, P. Y., Kurtuluş, Aslı, Ghahari, F., Vela, V., Taciroglu, E.

Basım Tarihi 2022-08

Basım Yeri - Seismological Society of America

Tür Süreli Yayın

Dil İngilizce

Dijital Evet

Yazma Hayır

Kütüphane Özyeğin Üniversitesi

Demirbaş Numarası 0037-1106

Kayıt Numarası 18abf7af-e0c3-4e95-b42e-f89f84785657

Lokasyon Civil Engineering

Tarih 2022-08

Notlar Tencent Foundation ; Tsinghua University ; TÜBİTAK ; National Key Research and Development Program of China

Örnek Metin The strong ground motions (GMs) recorded by strong motion networks are significant to increase the accuracy of seismic damage assessment. However, the influence of sensor density on seismic damage assessment remains unclarified. Therefore, a workflow is proposed in this study to quantitatively analyze the influence of sensor density on seismic damage assessment. The scenario-based earthquake simulation method is first used to provide the time history of GM at each location as the ground truth of the analysis. Subsequently, a GM prediction method, namely the interpolation method, is adopted to predict GMs at locations without sensors using measuring data from the limited sensors. Finally, the building scale and region scale seismic damage under different sensor densities are compared to quantitatively analyze the influence of sensor density on seismic damage assessment. A detailed case study for Zeytinburnu District, Istanbul, Turkey, is performed to demonstrate the proposed methods. The findings of this study can provide an important reference for seismic damage assessment and the deployment of strong motion networks.

DOI 10.1785/0120220005

Cilt 112