A Compact Experimentally Validated Model of Magnetorheological Fluids

Author:

Xu Fei-Hong1,Xu Zhao-Dong2,Zhang Xiang-Cheng3,Guo Ying-Qing4,Lu Yong5

Affiliation:

1. Key Laboratory of C&PC Structures of the Ministry of Education, Southeast University, Nanjing 210096, China

2. Professor Key Laboratory of C&PC Structures of the Ministry of Education, Southeast University, Nanjing 210096, China e-mail:

3. School of Mechanics and Engineering Science, Zhengzhou University, Zhengzhou 450001, China

4. Mechanical and Electronic Engineering School, Nanjing Forestry University, Nanjing 210037, China

5. School of Engineering, The University of Edinburgh, Edinburgh EH9 3DW, UK

Abstract

Magnetorheological (MR) dampers are one of the most promising devices for mitigation of vibration of engineering structures due to earthquakes and wind excitation. In this paper, a compact two-column model of an MR fluid is proposed in order to formulate a general solution for calculation of the yield shear stress of an MR fluid. The magnetic induction intensity in the damping gap, which is the key parameter of the compact two-column model, is determined through simulation of the magnetic circuit of the MR damper. To verify the effectiveness and significance of the proposed model, damping forces calculated based on the proposed model and the traditional single-chain model are compared with the experimental data. Results show that the proposed compact two-column model is more accurate and that it can describe the rheological properties of the MR fluids very well.

Publisher

ASME International

Subject

General Engineering

Reference22 articles.

1. Magnetorheological Fluids: Materials, Characterization, and Devices;J. Intell. Mater. Syst. Struct.,1996

2. Magnetorheologic Fluids for Actuators;Sens. Actuators A,2001

3. MR Damper and Its Application for Semi-Active Control of Vehicle Suspension System;Mechatronics,2002

4. The Application of MR Damper in the Semi-Active Vibration Control for Offshore Platform;China Offshore Platform,2002

5. Semi-Active Control of Structures Incorporated With Magnetorheological Dampers Using Neural Networks;Smart Mater. Struct.,2003

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