E
Erdal Safak
Researcher at Kandilli Observatory and Earthquake Research Institute
Publications - 93
Citations - 2174
Erdal Safak is an academic researcher from Kandilli Observatory and Earthquake Research Institute. The author has contributed to research in topics: System identification & Earthquake engineering. The author has an hindex of 24, co-authored 88 publications receiving 2012 citations. Previous affiliations of Erdal Safak include United States Geological Survey & University of Illinois at Urbana–Champaign.
Papers
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Journal ArticleDOI
Extracting the Building Response Using Seismic Interferometry: Theory and Application to the Millikan Library in Pasadena, California
Roel Snieder,Erdal Safak +1 more
TL;DR: In this article, the authors separate the building response from the excitation and the ground coupling by deconvolving the motion recorded at different levels in the building and apply this to recordings of the motion in the Robert A. Millikan Library in Pasadena, California.
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Hilbert-Huang transform analysis of dynamic and earthquake motion recordings
TL;DR: In this article, the authors examined the rationale of Hilbert-Huang transform (HHT) for analyzing dynamic and earthquake motion recordings in studies of seismology and engineering, and proposed a method to analyze the Hilbert Huang transform for seismic data.
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Wave-Propagation Formulation of Seismic Response of Multistory Buildings
TL;DR: In this paper, a discrete-time wave-propagation method was proposed to calculate the seismic response of multistory buildings, founded on layered soil media and subjected to vertically propagating shear waves.
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Earthquake and Ambient Vibration Monitoring of the Steel-Frame UCLA Factor Building:
TL;DR: In this paper, Fourier amplitude spectra have been calculated from several intervals of ambient vibrations, a 24-hour period of strong winds, and from the 28 March 2003 Encino, California (M_L =2.9), the 3 September 2002 Yorba Linda, California, and the 3 November 2002 Central Alaska (M _w=7.9) earthquakes.
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Adaptive Modeling, Identification, and control of dynamic structural Systems. I: Theory
TL;DR: A concise review of the theory of adaptive modeling, identification, and control of dynamic structural systems based on discrete‐time recordings is presented and guidelines for model selection and model validation and the computational aspects of the method are discussed.