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Sensitivity analysis of magnetorheological damper parameters based on the Bingham model

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Abstract

Sensitivity analysis is a fundamental approach to identifying the significance of parameters. In this study, based on the Bingham model, a sensitivity analysis of seven key structural parameters of magnetorheological dampers was conducted with the damping force and adjustable coefficient as the design objectives. Through single-factor variation experiments, the impact trends of these parameters on the output damping force and adjustable coefficient were evaluated. To comprehend the interactions and nonlinear effects among the parameters, global sensitivity analysis was performed using the Sobol method and EFAST method. These approaches comprehensively consider the combined influence of multiple parameters on the objective function and quantify their relative importance. Based on the results of the global sensitivity analysis and engineering considerations, five parameters were identified for optimization: piston radius (R), piston effective length (L), coil winding length (b), coil winding height (h), and piston rod radius (r). The study validates the feasibility of global sensitivity analysis in magnetorheological damper research, providing a crucial reference for subsequent performance optimization and design.

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Acknowledgements

Thanks to all the authors for their contributions to this article.

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Authors and Affiliations

  1. School of Civil Engineering, Qingdao University of Technology, Qingdao, 266520, China

    Yuliang Zhao, Xiaoning Chen, Jijun Miao, Jian Li & Caiwei Liu

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  1. Yuliang Zhao
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  2. Xiaoning Chen
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  3. Jijun Miao
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  4. Jian Li
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  5. Caiwei Liu
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Contributions

ZYL provided the research ideas and methodology of this paper, CXN conducted the article writing, LJ guided the code issues, and MJJ and LCW evaluated and revised the paper.

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Correspondence to Jian Li.

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Zhao, Y., Chen, X., Miao, J. et al. Sensitivity analysis of magnetorheological damper parameters based on the Bingham model. Int. J. Dynam. Control (2024). https://doi.org/10.1007/s40435-024-01401-y

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  • DOI: https://doi.org/10.1007/s40435-024-01401-y

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