Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Ground Motion Records Selection Based on Scalar Frequency-Content Parameters
https://orcid.org/http://orcid.org/0000-0003-4436-9881
Proper selection of ground motion records plays an important role in time history analysis of structural systems. Consistency of average response spectrum of a record set with the target spectrum is the only criterion, that normally is considered in code-based frameworks. However, a spectrum curve cannot represent all the characteristics of a seismic event. To improve the code-based ground motion selection method, the compatibility of three scalar frequency content intensity measures (Np, T0, and Tavg) is integrated in the proposed selection method of this paper. The harmony search (HS) optimization algorithm is utilized to find the best ground motion set from a database and their corresponding scale factors. In order to investigate the accuracy and efficiency of the proposed method on seismic demand estimation of structures, four steel moment resisting frames are used in the analysis (4, 6, 9 and 12-story). It is concluded that combinations of T0 and Tavg with the code-based method are effective for low-rise and mid-rise buildings, respectively, since these methods give reliable responses with less error dissipation.
Ground Motion Records Selection Based on Scalar Frequency-Content Parameters
https://orcid.org/http://orcid.org/0000-0003-4436-9881
Proper selection of ground motion records plays an important role in time history analysis of structural systems. Consistency of average response spectrum of a record set with the target spectrum is the only criterion, that normally is considered in code-based frameworks. However, a spectrum curve cannot represent all the characteristics of a seismic event. To improve the code-based ground motion selection method, the compatibility of three scalar frequency content intensity measures (Np, T0, and Tavg) is integrated in the proposed selection method of this paper. The harmony search (HS) optimization algorithm is utilized to find the best ground motion set from a database and their corresponding scale factors. In order to investigate the accuracy and efficiency of the proposed method on seismic demand estimation of structures, four steel moment resisting frames are used in the analysis (4, 6, 9 and 12-story). It is concluded that combinations of T0 and Tavg with the code-based method are effective for low-rise and mid-rise buildings, respectively, since these methods give reliable responses with less error dissipation.
Ground Motion Records Selection Based on Scalar Frequency-Content Parameters
https://orcid.org/http://orcid.org/0000-0003-4436-9881
Proper selection of ground motion records plays an important role in time history analysis of structural systems. Consistency of average response spectrum of a record set with the target spectrum is the only criterion, that normally is considered in code-based frameworks. However, a spectrum curve cannot represent all the characteristics of a seismic event. To improve the code-based ground motion selection method, the compatibility of three scalar frequency content intensity measures (Np, T0, and Tavg) is integrated in the proposed selection method of this paper. The harmony search (HS) optimization algorithm is utilized to find the best ground motion set from a database and their corresponding scale factors. In order to investigate the accuracy and efficiency of the proposed method on seismic demand estimation of structures, four steel moment resisting frames are used in the analysis (4, 6, 9 and 12-story). It is concluded that combinations of T0 and Tavg with the code-based method are effective for low-rise and mid-rise buildings, respectively, since these methods give reliable responses with less error dissipation.
Ground Motion Records Selection Based on Scalar Frequency-Content Parameters
Iran J Sci Technol Trans Civ Eng
Yaghmaei-Sabegh, Saman (Autor:in) / Jodat-Saeidabad, Amir (Autor:in)
01.04.2023
17 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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