Supervised probabilistic failure prediction of tuned mass damper-equipped high steel frames using machine learning methods
In this study, firstly, the behavior of a high steel frame equipped with tuned mass damper (TMD) due to several seismic records is investigated considering the structural and seismic uncertainties. Then, machine learning methods including artificial neural networks (ANN), decision tree (DT), Naïve B...
Main Authors: | Farrokhi Farshid, Rahimi Sepideh |
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Format: | Article |
Language: | English |
Published: |
Sciendo
2020-09-01
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Series: | Studia Geotechnica et Mechanica |
Subjects: | |
Online Access: | https://doi.org/10.2478/sgem-2019-0043 |
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