Optimization design of magnetorheological damper based on multi-objective whale algorithm

• Published in: Discover applied sciences Vol. 7; no. 6; pp. 531 - 23
• Main Authors: Zhao, Yuliang, Chen, Xiaoning, Huang, Xuhong, Liu, Caiwei, Liu, Wenfeng, Xu, Yanwei
• Format: Journal Article
• Language: English
• Published: Cham Springer International Publishing 23.05.2025; Springer Nature B.V; Springer
• Subjects: Algorithms; Applied and Technical Physics; Chemistry/Food Science; Control algorithms; Dampers; Damping; Design; Design optimization; Earth Sciences; Efficiency; Energy consumption; Engineering; Environment; Genetic algorithms; Magnetorheological damper; Materials Science; Mechanical properties; Neural networks; Optimization algorithms; Optimization techniques; Parameter estimation; Parameter identification; Parameter optimization; Parameter sensitivity; Sensitivity analysis; Sorting algorithms; Vibration; Whale algorithm; Magnetorheological damper; Sensitivity analysis; Whale algorithm; Parameter optimization

An efficient optimization design method for magnetorheological (MR) dampers, aimed at enhancing the damping force output and the adjustable coefficient, is explored in this study. The structural parameters of the double-rod MR damper, which significantly influence dynamic performance, were systemati...