Seismic risk assessment of typical bridges in Northeastern Brazil through the application of Machine Learning methods

Seismic risk assessment of typical bridges in Northeastern Brazil through the application of Machine Learning methods

Abstract Bridges are the most vulnerable components in a transportation system. Therefore, extraordinary events such as seismic activities should also be considered in bridge design. In Brazil, since the last few decades, representative earthquakes with magnitudes above 5 have been registered by th...

Full description

Saved in:
Bibliographic Details
Main Authors: Lucas Filipe Da Ronch, Gustavo Henrique Ferreira Cavalcante, Eduardo Marques Vieira Pereira, Isabela Durci Rodrigues, Thiago Dias dos Santos, Gustavo Henrique Siqueira
Format: Article
Language:English
Published: Instituto Brasileiro do Concreto (IBRACON) 2025-05-01
Series:Revista IBRACON de Estruturas e Materiais
Subjects:
seismic vulnerability
fragility curves
reinforced concrete bridges
Machine Learning
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1983-41952025000200213&lng=en&tlng=en
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1983-41952025000200213&lng=en&tlng=en

Similar Items