Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14365/1720
Title: Predictive Model for Constant-Ductility Energy Factor Spectra of Near- and Far-Fault Ground Motions Based on Gauss-Newton Algorithm
Authors: Ucar, Taner
Merter, Onur
Keywords: Far-fault ground motions
near-fault ground motions
constant-ductility energy factor spectra
Gauss-Newton algorithm
Seismic Design
Systems
Demands
Publisher: Taylor & Francis Ltd
Abstract: Gauss-Newton algorithm is originally applied for estimating constant-ductility energy factor spectra of near- and far-fault ground motions. First, constant-ductility energy factors are clarified, a three-parameter exponential equation relating energy factor to period is proposed and estimation of parameters of the proposed equation by means of Gauss-Newton algorithm is fully demonstrated. A set of 100 both pulse-like and non-pulse like near-fault ground motion records and 112 ordinary far-fault ground motion records is assembled as seismic input. Mean energy factor spectra of the utilized ground motions are preliminarily computed from nonlinear time history analyses for five constant ductility ratios ranging from 2 to 6, and then the same spectra are estimated by Gauss-Newton method. Very strong correlation between the computed and the estimated energy constant-ductility energy factor spectra is observed after few iteration steps.
URI: https://doi.org/10.1080/13632469.2021.1964653
https://hdl.handle.net/20.500.14365/1720
ISSN: 1363-2469
1559-808X
Appears in Collections:Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

Files in This Item:
File SizeFormat 
1720.pdf
  Restricted Access
14.74 MBAdobe PDFView/Open    Request a copy
Show full item record



CORE Recommender

SCOPUSTM   
Citations

4
checked on Dec 18, 2024

WEB OF SCIENCETM
Citations

3
checked on Dec 18, 2024

Page view(s)

60
checked on Dec 23, 2024

Download(s)

6
checked on Dec 23, 2024

Google ScholarTM

Check




Altmetric


Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.