The use of Artificial Neural Networks to estimate seismic damage and derive vulnerability functions for traditional masonry

This paper discusses the adoption of Artificial Intelligence-based techniques to estimate seismic damage, not with the goal of replacing existing approaches, but as a mean to improve the precision of empirical methods. For such, damage data collected in the aftermath of the 1998 Azores earthquake (P...

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Bibliographic Details
Main Author: Ferreira, Tiago Miguel (author)
Other Authors: Estêvão, João M. C. (author), Maio, Rui (author), Vicente, R. (author)
Format: article
Language:eng
Published: 2020
Subjects:
Artificial Neural Networks
seismic vulnerability
masonry buildings
damage estimation
vulnerability curves
Online Access:http://hdl.handle.net/10400.1/14108
Country:Portugal
Oai:oai:sapientia.ualg.pt:10400.1/14108

Internet

http://hdl.handle.net/10400.1/14108

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