Issue |
Mechanics & Industry
Volume 22, 2021
|
|
---|---|---|
Article Number | 28 | |
Number of page(s) | 11 | |
DOI | https://doi.org/10.1051/meca/2021027 | |
Published online | 12 April 2021 |
Regular Article
Analysis of longitudinal vibration acceleration based on continuous time-varying model of high-speed elevator lifting system with random parameters
School of Mechanical and Electrical Engineering, Shandong Jianzhu University, Jinan 250101, Shandong Province, PR China
* e-mail: zhangqing@sdjzu.edu.cn
Received:
4
June
2019
Accepted:
1
March
2021
In this paper, for studying the influence of the randomness of structural parameters of high-speed elevator lifting system (HELS) caused by manufacturing error and installation error, a continuous time-varying model of HELS was constructed, considering the compensation rope mass and the tension of the tensioning system. The Galerkin weighted residual method is employed to transform the partial differential equation with infinite degrees of freedom (DOF) into the ordinary differential equation. The five-order polynomial is used to fit the actual operation state curve of elevator, and input as operation parameters. The precise integration method of time-varying model of HELS is proposed. The determination part and the random part response expression of the longitudinal dynamic response of HELS are derived by the random perturbation method. Using the precise integration method, the sensitivity of random parameters is determined by solving the random part response expression of time-varying model of HELS, and the digital characteristics of the acceleration response are analyzed. It is found that the line density of the hoisting wire rope has the maximum sensitivity on longitudinal vibration velocity response, displacement response and acceleration response, and the sensitivity of the elastic modulus of the wire rope is smallest.
Key words: High-speed elevator lifting system / time-varying / random parameters / longitudinal vibration / acceleration response
© Q. Zhang et al., Published by EDP Sciences 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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