Large-scale MR fluid dampers: modeling and dynamic performance considerations

By G. Yang, Billie F. Spencer Jr., J. Carlson, M. Sain. 2002

825 citations recorded by the source corpus.

Subfields: Civil and Structural Engineering

View Paper: https://www.semanticscholar.org/paper/b81f9adf8c82e01ffc4b2c4a7f622e4a46ac1f0f

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In Civil and Structural Engineering

1. X. Jing
2. Weihua Li
3. Seung-bok Choi
4. Haiping Du
5. Li Cheng
6. Xiaocong Zhu
7. Afzal Suleman
8. Edward J. Park

Citations in the corpus

• A performance evaluation of an automotive magnetorheological brake design with a sliding mode controller (2006, background): “Recently, however, these problems have been solved and commercial applications are starting to appear, most notably as controllable dampers in the afore-mentioned car suspensions [4] and in civil engineering applications for seismic response control [6].”
• Multidisciplinary design optimization of an automotive magnetorheological brake design (2008, background): “(1) provides a useful basis for the design of MR fluid-based devices [10], and the simple Bingham model is still very suitable for the initial design phase [5].”
• Magnetorheological fluid dampers: a review of parametric modelling (2011, methodology): “To accurately model the large-scale prototype damper, an annular duct model is required [30].”
• State of the art of control schemes for smart systems featuring magneto-rheological materials (2016, methodology): “Parametric models include the Bingham model [183], the viscoelastic-plastic model [75], the phenomenological model [184], the semi-phenomenological model based on the Bouc–Wen model [185], the improved Bouc–Wen model [186, 187], the hyperbolic tangent function model [188, 189], the inverse tangent f”
• Magnetorheological fluid dampers: A review on structure design and analysis (2012, methodology): “The governing equation for pressure gradient in the flow of a Bingham fluid through a parallel duct (Figure 52) is given by (Hong et al., 2005; Yang et al., 2002) 3 P 2Gð Þ2 P3 1 + 3G Vð ÞP2 + 4G3 + GV 2P2 = 0, Vj j\3 P 2Gð Þ2 .”
• Systems with Hysteresis: Analysis, Identification and Control Using the Bouc-Wen Model (2007, methodology): “In Reference [51], an H controller is proposed to cope with the presence of uncertainties.”