Behaviour Investigation of SMA-Equipped Bar Hysteretic Dampers Using Machine Learning Techniques

Behaviour Investigation of SMA-Equipped Bar Hysteretic Dampers Using Machine Learning Techniques

Most isolators have numerous displacements due to their low stiffness and damping properties. Accordingly, the supplementary damping systems have vital roles in damping enhancement and lower the isolation system displacement. Nevertheless, in many cases, even by utilising additional dampers in isola...

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Bibliographic Details
Main Authors: Visar Farhangi, Hashem Jahangir, Danial Rezazadeh Eidgahee, Arash Karimipour, Seyed Alireza Nedaei Javan, Hamed Hasani, Nazanin Fasihihour, Moses Karakouzian
Format: Article
Language:English
Published: MDPI AG 2021-10-01
Series:Applied Sciences
Subjects:
shape memory alloy (SMA)
SMA-equipped bar hysteretic dampers (SMA-BHDs)
hysteresis curves
artificial neural network (ANN)
group method of data handling (GMDH)
Online Access:https://www.mdpi.com/2076-3417/11/21/10057

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https://www.mdpi.com/2076-3417/11/21/10057

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