Prediction of nonlinear dynamic responses and generation of seismic fragility curves for steel moment frames using boosting machine learning techniques

•Four boosting machine learning (ML) models were developed to predict the seismic responses of steel moment frames.•The maximum global and interstory drift ratios, base shear coefficient, and maximum floor acceleration were predicted.•1,848 steel moment frames were analyzed under 50 earthquake recor...

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Vydané v:	Computers & structures Ročník 305; s. 107580
Hlavní autori:	Zareian, Farzaneh, Banazadeh, Mehdi, Zareian, Mohammad Sajjad
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.12.2024
Predmet:	Boosting algorithms Fragility curves Machine learning Nonlinear dynamic responses Steel moment frames Nonlinear dynamic responses Fragility curves Steel moment frames Machine learning Boosting algorithms
ISSN:	0045-7949
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