ORCID Profile
0000-0003-2782-8652
Current Organisations
University of Technology Sydney
,
University of Wollongong
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Publisher: Elsevier BV
Date: 10-2015
Publisher: American Society of Civil Engineers (ASCE)
Date: 10-2016
Publisher: Elsevier BV
Date: 04-2015
Publisher: Wiley
Date: 04-03-2020
DOI: 10.1002/TAL.1728
Publisher: Elsevier BV
Date: 11-2020
Publisher: MDPI AG
Date: 30-06-2019
DOI: 10.3390/IJMS20133216
Abstract: Magnetorheological elastomer (MRE) is a type of magnetic soft material consisting of ferromagnetic particles embedded in a polymeric matrix. MRE-based devices have characteristics of adjustable stiffness and d ing properties, and highly nonlinear and hysteretic force–displacement responses that are dependent on external excitations and applied magnetic fields. To effectively implement the devices in mitigating the hazard vibrations of structures, numerically traceable and computationally efficient models should be firstly developed to accurately present the unique behaviors of MREs, including the typical Payne effect and strain stiffening of rubbers etc. In this study, the up-to-date phenomenological models for describing hysteresis response of MRE devices are experimentally investigated. A prototype of MRE isolator is dynamically tested using a shaking table in the laboratory, and the tests are conducted based on displacement control using harmonic inputs with various loading frequencies, litudes and applied current levels. Then, the test results are used to identify the parameters of different phenomenological models for model performance evaluation. The procedure of model identification can be considered as solving a global minimization optimization problem, in which the fitness function is the root mean square error between the experimental data and the model prediction. The genetic algorithm (GA) is employed to solve the optimization problem for optimal model parameters due to its advantages of easy coding and fast convergence. Finally, several evaluation indices are adopted to compare the performances of different models, and the result shows that the improved LuGre friction model outperforms other models and has optimal accuracy in predicting the hysteresis response of the MRE device.
Publisher: Elsevier BV
Date: 11-2019
Publisher: Elsevier BV
Date: 08-2020
Publisher: CRC Press
Date: 13-11-2017
Publisher: IOP Publishing
Date: 26-02-2019
Publisher: Elsevier BV
Date: 09-2017
Publisher: Springer Singapore
Date: 04-09-2019
Publisher: Elsevier BV
Date: 12-2018
Publisher: Elsevier BV
Date: 02-2019
Publisher: Springer Science and Business Media LLC
Date: 27-11-2015
Publisher: Elsevier BV
Date: 07-2020
Publisher: Elsevier BV
Date: 11-2018
Publisher: American Society of Civil Engineers (ASCE)
Date: 12-2018
Publisher: Elsevier BV
Date: 10-2019
Publisher: Elsevier BV
Date: 08-2020
Publisher: American Society of Civil Engineers (ASCE)
Date: 10-2018
Publisher: Elsevier BV
Date: 03-2020
Publisher: American Society of Civil Engineers (ASCE)
Date: 10-2020
No related grants have been discovered for Weiqiang Wang.