An ANN-Based Approach for Prediction of Sufficient Seismic Gap between Adjacent Buildings Prone to Earthquake-Induced Pounding

An ANN-Based Approach for Prediction of Sufficient Seismic Gap between Adjacent Buildings Prone to Earthquake-Induced Pounding

Earthquake-induced structural pounding may cause major damages to structures, and therefore it should be prevented. This study is focused on using an artificial neural network (ANN) method to determine the sufficient seismic gap in order to avoid collisions between two adjacent buildings during seis...

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Bibliographic Details
Main Authors: Seyed Mohammad Khatami, Hosein Naderpour, Seyed Mohammad Nazem Razavi, Rui Carneiro Barros, Barbara Sołtysik, Robert Jankowski
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Applied Sciences
Subjects:
seismic gap
structural pounding
earthquakes
artificial neural network
Online Access:https://www.mdpi.com/2076-3417/10/10/3591

Internet

https://www.mdpi.com/2076-3417/10/10/3591

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