Utilizing advanced machine learning approaches to assess the seismic fragility of non-engineered masonry structures

Utilizing advanced machine learning approaches to assess the seismic fragility of non-engineered masonry structures

Seismic fragility assessment provides a substantial tool for assessing the seismic resilience of these buildings. However, using traditional numerical methods to derive fragility curves poses significant challenges. These methods often overlook the diverse range of buildings found in different regio...

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Bibliographic Details
Main Authors: Ehsan Harirchian, Seyed Ehsan Aghakouchaki Hosseini, Viviana Novelli, Tom Lahmer, Shahla Rasulzade
Format: Article
Language:English
Published: Elsevier 2024-03-01
Series:Results in Engineering
Subjects:
Machine learning
Seismic vulnerability
Fragility curves
Masonry structures
Online Access:http://www.sciencedirect.com/science/article/pii/S2590123024000033

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http://www.sciencedirect.com/science/article/pii/S2590123024000033

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