Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Empirical model for frequency content estimation of strong ground motion records of Iran
Abstract This paper presents a new empirical model to predict the mean period (Tm) as a frequency-content parameter of earthquake record using the strong ground motions recorded in Iran during 1975–2019. An updated earthquake databank containing 2281 horizontal acceleration records was employed to develop the empirical model through a systematic fitting procedure. A simple functional form for the model was found as a function of epicentral distance (R), moment magnitude (Mw), and the shear wave velocity averaged at the top 30 m of the recording sites (Vs30). The proposed model is compared with three existing predictive models and the results are discussed in terms of magnitude, source-to-site, and site dependencies.
Graphical abstract Display Omitted
Highlights A new GMPE for Tm based on an extensive database of earthquake records is presented. More than 4500 Iranian strong ground motions were used. We compared the predictive model with the models recently proposed to predict Tm. The presented equation is applicable is earthquake engineering practice
Empirical model for frequency content estimation of strong ground motion records of Iran
Abstract This paper presents a new empirical model to predict the mean period (Tm) as a frequency-content parameter of earthquake record using the strong ground motions recorded in Iran during 1975–2019. An updated earthquake databank containing 2281 horizontal acceleration records was employed to develop the empirical model through a systematic fitting procedure. A simple functional form for the model was found as a function of epicentral distance (R), moment magnitude (Mw), and the shear wave velocity averaged at the top 30 m of the recording sites (Vs30). The proposed model is compared with three existing predictive models and the results are discussed in terms of magnitude, source-to-site, and site dependencies.
Graphical abstract Display Omitted
Highlights A new GMPE for Tm based on an extensive database of earthquake records is presented. More than 4500 Iranian strong ground motions were used. We compared the predictive model with the models recently proposed to predict Tm. The presented equation is applicable is earthquake engineering practice
Empirical model for frequency content estimation of strong ground motion records of Iran
Lashgari, Ali (Autor:in) / Jafarian, Yaser (Autor:in)
Engineering Geology ; 297
06.01.2022
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
| Taylor & Francis Verlag | 2024
Low frequency content of Italian strong-motion records
| British Library Conference Proceedings | 1995
Analysis of the low frequency content in strong motion records
| British Library Conference Proceedings | 1996
Ground Motion Records Selection Based on Scalar Frequency-Content Parameters
| Springer Verlag | 2023
Estimation of ground motion by a semi-empirical method using observed records
| British Library Conference Proceedings | 1998