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

Publication Type:
Conference Proceeding
Citation:
Mechanics of Structures and Materials: Advancements and Challenges - Proceedings of the 24th Australasian Conference on the Mechanics of Structures and Materials, ACMSM24 2016, 2017, pp. 703 - 708
Issue Date:
2017-01-01
Metrics:
Full metadata record
Files in This Item:
Filename Description Size
109.pdfPublished version2.03 MB
Adobe PDF
© 2017 Taylor & Francis Group, London. 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.
Please use this identifier to cite or link to this item: