OPTIMAL DESIGN OF THE MTMD FOR REDUCING TORSIONAL VIBRATION BY USING GAUSS-NEWTON NONLINEAR REGRESSION ALGORITHM

  • Khong Doan Dien Hung Yen University of Technology and Education
  • Nguyen Duy Chinh Hung Yen University of Technology and Education
  • Vu Xuan Truong Hung Yen University of Technology and Education
  • Nguyen Thanh Tuan Thanh Hoa Industrial Vocational College
Keywords: Nonlinear Regression, Gauss-Newton algorithm, Multi Tuned Mass Dampers.

Abstract

The publishedn in [3,4] have determined the optimal parameters range for the TMD. However, as each factors were only limited to the selected level (level 3 to 4) in the survey, so the optimal parameters obtained is one of the values of the optimal regional level. The Taguchi method does not return the results in the form of mathematical functionsthat the optimal parameters were determined by the S/N ratio.This paper presents effectively reduce torsional vibration when using MTMD. specially, the optimization methods used in this study is the method of Gauss-Newtonnonlinear regression algorithm. Results will be shown the relationship between these parameters to MTMD by a nonlinear mathematical function form. The results are verified by numerical simulation on Maple 2016a.

Published
2020-04-19
How to Cite
Khong Doan Dien, Nguyen Duy Chinh, Vu Xuan Truong, & Nguyen Thanh Tuan. (2020). OPTIMAL DESIGN OF THE MTMD FOR REDUCING TORSIONAL VIBRATION BY USING GAUSS-NEWTON NONLINEAR REGRESSION ALGORITHM. UTEHY Journal of Science and Technology, 10, 14-19. Retrieved from https://tapchi.utehy.edu.vn/index.php/jst/article/view/273