Utilising Artificial Neural Networks for Assessing Seismic Demands of Buckling Restrained Braces Due to Pulse-like Motions

Utilising Artificial Neural Networks for Assessing Seismic Demands of Buckling Restrained Braces Due to Pulse-like Motions

Buckling restrained brace frames (BRBFs) exhibit exceptional lateral stiffness, load-bearing capacity, and energy dissipation properties, rendering them a highly promising choice for regions susceptible to seismic activity. The precise and expeditious prediction of seismic demands on BRBFs is a cruc...

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Bibliographic Details
Main Authors: Amirhossein Mohammadi, Shaghayegh Karimzadeh, Saman Yaghmaei-Sabegh, Maryam Ranjbari, Paulo B. Lourenço
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Buildings
Subjects:
pulse-wise real ground motion records
buckling restrained brace frame (BRBF)
maximum inter-storey drift ratio (<i>MIDR</i>)
global drift ratio (<i>GDR</i>)
feature selection
artificial neural network (ANN)
Online Access:https://www.mdpi.com/2075-5309/13/10/2542

Internet

https://www.mdpi.com/2075-5309/13/10/2542

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