Please use this identifier to cite or link to this item: https://hdl.handle.net/11499/5970
Title: Selecting and scaling real ground motion records using harmony search algorithm
Authors: Kayhan, Ali Haydar
Armagan Korkmaz, K.
Irfanoglu, A.
Keywords: Data sets
Design spectrum
Earthquake engineering
Eurocodes
Ground motions
Harmony search
Harmony search algorithms
Metaheuristic
Pre-selected
Site conditions
Soil types
Solution algorithms
Solution model
Strong motion
Civil engineering
Design
Learning algorithms
Geologic models
algorithm
database
ground motion
heuristics
meta-analysis
numerical model
seismic design
site effect
soil dynamics
strong motion
time series analysis
Abstract: In this study, a solution model is proposed to obtain input ground motion datasets compatible with given design spectra based on meta-heuristic harmony search algorithm. The utility of the solution model is demonstrated by generating ground motion datasets matching the Eurocode-8 design spectra for different soil types out of an extensive database of recorded motions. A total of 352 records are selected from the Pacific Earthquake Engineering Center (PEER) Strong Motion Database based on magnitude, distance, and site conditions to form the original ground motion domain. Then, the proposed harmony search based solution algorithm is applied on the pre-selected 352 time-series to obtain the ground motion record sets compatible with design spectra. The results demonstrate that the proposed HS based solution model provides an efficient way to develop input ground motion record sets that are consistent with code-based design spectra. © 2011 Elsevier Ltd.
URI: https://hdl.handle.net/11499/5970
https://doi.org/10.1016/j.soildyn.2011.02.009
ISSN: 0267-7261
Appears in Collections:Mühendislik Fakültesi Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

Show full item record



CORE Recommender

SCOPUSTM   
Citations

51
checked on Nov 16, 2024

WEB OF SCIENCETM
Citations

49
checked on Nov 21, 2024

Page view(s)

44
checked on Aug 24, 2024

Google ScholarTM

Check




Altmetric


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