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The structure optimization of tracked ambulance nonlinear vibration reduction system

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Abstract

Our aim was to improve the performance of tracked ambulance nonlinear vibration reduction system by structure optimization design. The structure optimization focuses on the stretcher base. Two structure optimization schemes are proposed based on the mechanism of Dynamic vibration absorber (DVA): Linear and nonlinear structure. The linear structure optimization scheme is finally adopted by comparison of the two schemes under random vibration, and the performance of linear scheme is also verified under shock vibration. Then the global sensitivity analysis method is applied to calculate the parameter sensitivity of nonlinear vibration reduction system. Finally, the Nondominated sorting genetic algorithm II (NSGA-II) is used to optimize the performance of the nonlinear vibration reduction system. It shows that the vibration energy of the supine human body on a stretcher is reduced after above studies, which proves the validity and feasibility of the structure optimization schemes proposed and the optimization studies applied in this paper.

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Correspondence to Xinxi Xu.

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Recommended by Associate Editor Eung-Soo Shin

These authors contributed equally to this work and should be considered as co-first authors.

Xinxi Xu received the Ph.D. in Mechanical Engineering from Tianjin University, Tianjin, China, in 2008. Now he is a Researcher at the Institute of Medical Equipment from Academy of Military Medical Sciences, Tianjin, China. His current research interests include vibration, control and nonlinear dynamics.

Meng Yang received his Ph.D. from the Institute of Medical Equipment from the Academy of Military Medical Sciences, Tianjin, China, in 2016. He is an Assistant Researcher at the Naval Medical Institute, Shanghai, China. His current research interests include vibration, nonlinear dynamics and optimization.

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Xu, X., Yang, M., Jia, N. et al. The structure optimization of tracked ambulance nonlinear vibration reduction system. J Mech Sci Technol 31, 523–533 (2017). https://doi.org/10.1007/s12206-017-0105-5

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  • DOI: https://doi.org/10.1007/s12206-017-0105-5

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