.png){kind=icon}
Return
Multi-objective optimisation of rack train based on improved dung beetle optimisation algorithm
.png){kind=icon}
PRE
AI
DOI：10.1080/00423114.2026.2643241.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
The gear-rack meshing system is a critical subsystem of rack railways. Its periodic track excitation of the gear-rack meshing force and impact significantly reduces the ride comfort of the rack train. However, limited research has been published on suspension system optimisation for the rack train. To address this gap, the multi-objective optimisation of the rack train suspension system is studied in this paper. Firstly, the four-marshalling rack vehicle-track coupled dynamic model was established based on the vehicle-track coupled dynamics and gear dynamics. The reliability of the model was verified through field test. Subsequently, a parameter sensitivity analysis on the ride comfort of the rack train was conducted, and an improved dung beetle optimisation algorithm (INSDBO) was proposed. Finally, a UM-MATLAB co-simulation optimisation model was developed. The results indicate that the ride comfort of the rack train is primarily influenced by the partial secondary suspension, including traction rod stiffness. The performance of the improved algorithm is better than that of the common method. After optimisation, the RMS values of the carbody are significantly reduced by more than 21%. The vibration transmission from the bogie frame to the carbody decreases by 43.3% at the human-sensitive frequency and the gear-rack meshing frequency.
Keywords:
Rack vehicle
vehicle-track coupled dynamics
suspension system
sensitivity analysis
multi-objective optimisation
Journal
V
IF:
3.9
Papers:
3.1K
Citations:
8.9K
Organization
View more organizations
Cited Papers
Catch fish optimization algorithm: a new human behavior algorithm for solving clustering problems
.png){kind=icon}
PREAI
ShareSaveShareSave
ShareSaveShareSaveRobust Subsampling ANOVA Methods for Sensitivity Analysis of Water Resource and Environmental Models
PREAI
ShareSaveAbnormal wear characteristics of rack systems with longitudinal pitch deviation in rack railways
PREAI
ShareSave
ShareSave View more