Prediction of Maximum Story Drift of MDOF Structures under Simulated Wind Loads Using Artificial Neural Networks

Prediction of Maximum Story Drift of MDOF Structures under Simulated Wind Loads Using Artificial Neural Networks

The aim of this paper is to investigate the prediction of maximum story drift of Multi-Degree of Freedom (MDOF) structures subjected to dynamics wind load using Artificial Neural Networks (ANNs) through the combination of several structural and turbulent wind parameters. The maximum story drift of 1...

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Bibliographic Details
Main Authors: Omar Payán-Serrano, Edén Bojórquez, Juan Bojórquez, Robespierre Chávez, Alfredo Reyes-Salazar, Manuel Barraza, Arturo López-Barraza, Héctor Rodríguez-Lozoya, Edgar Corona
Format: Article
Language:English
Published: MDPI AG 2017-05-01
Series:Applied Sciences
Subjects:
dynamic analysis
wind simulation
artificial neural networks
parallel computing
Online Access:http://www.mdpi.com/2076-3417/7/6/563

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