Journal article
Development of a nonlinear adaptive absorber based on magnetorheological elastomer
Journal of intelligent material systems and structures, Vol.29(2), pp.194-204
01/2018
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Abstract
The resonance shift property of magnetorheological elastomer is important for developing adaptive absorbers. However, it is well-known that passive nonlinear absorbers have wider effective frequency bandwidths. This article combines these two characteristics in order to develop a hybrid magnetorheological elastomer absorber which can shift its natural frequency and has a wider absorption bandwidth under each constant current. The adaptability and nonlinearity were fully verified experimentally. Afterwards, the absorption ability of the hybrid magnetorheological elastomer absorber was investigated and analyzed. The results show that the effective bandwidth of this absorber is broadened under certain levels of current than linear absorber, and this is caused by the presence of nonlinearity; and the adaptability induced by the magnetorheological elastomer undoubtedly empowers the absorber possible to trace the excitation frequency changing in real time. A short-time Fourier transform was finally used to control the magnetorheological elastomer absorber to verify its controllability, showing that an optimal absorption transmissibility was achieved by the controlled hybrid absorber.
Details
- Title
- Development of a nonlinear adaptive absorber based on magnetorheological elastomer
- Creators
- Shuaishuai Sun - University of WollongongJian Yang - University of WollongongTanju Yildirim - Shenzhen UniversityHaiping Du - University of WollongongGursel Alici - University of WollongongShiwu Zhang - University of Science and Technology of ChinaWeihua Li - University of Wollongong
- Publication Details
- Journal of intelligent material systems and structures, Vol.29(2), pp.194-204
- Publisher
- Sage
- Number of pages
- 11
- Grant note
- LP160100132; 150100040 / ARC Linkage Grants; Australian Research Council.
- Identifiers
- 991013160981902368
- Copyright
- © The Author(s) 2017.
- Academic Unit
- Faculty of Science and Engineering
- Language
- English
- Resource Type
- Journal article