A Rapid Seismic Damage Assessment (RASDA) Tool for RC Buildings Based on an Artificial Intelligence Algorithm

A Rapid Seismic Damage Assessment (RASDA) Tool for RC Buildings Based on an Artificial Intelligence Algorithm

In the current manuscript, a novel software application for rapid damage assessment of RC buildings subjected to earthquake excitation is presented based on artificial neural networks. The software integrates the use of a novel deep learning methodology for rapid damage assessment into modern softwa...

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Bibliographic Details
Main Authors: Konstantinos Morfidis, Sotiria Stefanidou, Olga Markogiannaki
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Applied Sciences
Subjects:
seismic damage assessment
artificial neural networks
pattern recognition
software development
RC buildings
Online Access:https://www.mdpi.com/2076-3417/13/8/5100

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