Abstract

Magnetorheological elastomeric (MRE) material is a novel type of material that can adaptively change the rheological property rapidly, continuously, and reversibly when subjected to real-time external magnetic field. These new type of MRE materials can be developed by employing various schemes, for instance by mixing carbon nanotubes or acetone contents during the curing process which produces functionalized multiwall carbon nanotubes (MWCNTs). In order to study the mechanical and magnetic effects of this material, for potential application in seismic isolation, in this paper, different mathematical models of magnetorheological elastomers are analyzed and modified based on the reported studies on traditional magnetorheological elastomer. In this regard, a new feature identification method, via utilizing curvelet analysis, is proposed to make a multi-scale constituent analysis and subsequently a comparison between magnetorheological elastomer nanocomposite and traditional magnetorheological elastomers in a microscopic level. Furthermore, by using this “smart” material as the laminated core structure of an adaptive base isolation system, magnetic circuit analysis is numerically conducted for both complete and incomplete designs. Magnetic distribution of different laminated magnetorheological layers is discussed when the isolator is under compressive preloading and lateral shear loading. For a proof of concept study, a scaled building structure is established with the proposed isolation device. The dynamic performance of this isolated structure is analyzed by using a newly developed reaching law sliding mode control and Radial Basis Function (RBF) adaptive sliding mode control schemes. Transmissibility of the structural system is evaluated to assess its adaptability, controllability and nonlinearity. As the findings in this study show, it is promising that the structure can achieve its optimal and adaptive performance by designing an isolator with this adaptive material whose magnetic and mechanical properties are functionally enhanced as compared with traditional isolation devices. The adaptive control algorithm presented in this research can transiently suppress and protect the structure against non-stationary disturbances in the real time.

Highlights

  • Magnetorheological elastomer (MRE) is a type of composite material whose magnetic field-dependent particles are suspended within non-magnetic elastomer matrix [1,2,3], and is considered a “smart” material

  • The inverse dynamics of an Magnetorheological elastomeric (MRE)-based isolator was established based on optimal general regression neural network, and an LQR controller was utilized for real-time semi-active vibration control [31]

  • To the best of the authors’ knowledge, limited work has been reported on the novel MRE with multiwall carbon nanotubes (MWCNTs), which is a new approach to functionally enhance the magnetorheological behavior of traditional MRE

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Summary

A Novel MRE Adaptive Seismic Isolator Using Curvelet

Faculty of Civil and Surveying Engineering, Graduate University of Advanced Technology, Kerman 76318-85356, Iran

Introduction
Investigation of Five Parametric Models
MRE Models
Model Attribute
MRE with MWCNTs Models
Curvelet Transform
Curvelet Identification
Design of Adaptive Seismic Isolator
Magnetic Circuit Analysis
Magnetic Distribution under Compressive and Shear Loading
Suppressing Acceleration Effect
Vibration Control of an Isolated Structure
Basic Principle of Structural Control
Reaching Law-Based Sliding Mode Control
RBF Based Adaptive Sliding Mode Control
Comparison of Different Control Schemes
Findings
Conclusions
Full Text
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