Seismic response and performance prediction of steel buckling-restrained braced frames using machine-learning methods

Nowadays, Buckling-Restrained Brace Frames (BRBFs) have been used as lateral force-resisting systems for low-, to mid-rise buildings. Residual Interstory Drift (RID) of BRBFs plays a key role in deciding to retrofit buildings after seismic excitation; however, existing formulas have limitations and...

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Vydáno v:	Engineering applications of artificial intelligence Ročník 128; s. 107388
Hlavní autoři:	Asgarkhani, N., Kazemi, F., Jakubczyk-Gałczyńska, A., Mohebi, B., Jankowski, R.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier Ltd 01.02.2024
Témata:	Buckling-restrained braced frame Machine-learning algorithm Residual interstory drift Seismic failure probability Seismic performance curve Seismic retrofit Seismic performance curve Residual interstory drift Machine-learning algorithm Seismic retrofit Seismic failure probability Buckling-restrained braced frame
ISSN:	0952-1976, 1873-6769
On-line přístup:	Získat plný text
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