Dynamic modeling of magnetorheological elastomer base isolator based on extreme learning machine

Y. Yu, Y. Li, J. Li, X. Gu, S. Royel

Research output: Chapter in Book / Conference PaperConference Paperpeer-review

6 Citations (Scopus)

Abstract

![CDATA[This paper presents a novel modeling method to describe the nonlinear and hysteretic characteristics of Magnetorheological Elastomer (MRE) isolator, which is a semi-active control device and used in vibration control of engineering structures such as vehicle suspension system, offshore platform and built infrastructure. In the proposed method, a new single-hidden-layer feed-forward neural network algorithm named Extreme Learning Machine (ELM) is adopted to set up the model, in which the captured responses such as displacement and velocity of the device together with applied current level are employed as model inputs while the model output is the shear force generated according to the external excitation. Finally, the experimental data are utilized to validate the performance of the proposed method.]]
Original languageEnglish
Title of host publicationMechanics of Structures and Materials: Advancements and Challenges: Proceedings of the 24th Australasian Conference on the Mechanics of Structures and Materials (ACMSM24), Perth, Australia, 6-9 December 2016
PublisherCRC Press
Pages703-708
Number of pages6
ISBN (Print)9781138029934
Publication statusPublished - 2017
EventAustralasian Conference on the Mechanics of Structures and Materials -
Duration: 6 Dec 2016 → …

Conference

ConferenceAustralasian Conference on the Mechanics of Structures and Materials
Period6/12/16 → …

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