中国铁道科学2025，Vol.46Issue(5)：88-99,12.DOI:10.3969/j.issn.1001-4632.2025.05.08
基于响应面法及改进粒子群算法的重载铁路大机捣固作业参数优化
Optimizing Tamping Parameters for Heavy-Haul Railway Based on Response Surface Method and Improved Particle Swarm Optimization
摘要
Abstract
Large-scale mechanical operation plays a pivotal role in improving the geometric alignment of ballasted railway tracks,and precise tuning of tamping parameters are key factors ensuring operational safety.Currently,tamping parameters are selected mainly based on ballast bed restoration quality as the evaluation metric,often neglecting the influence of ballast force characteristics during tamping.This study introduces a coupled model that integrates ballasted track dynamics with tamping machinery by combining the discrete element method and multibody dynamics,and model reliability was validated through field tests.Building on this validated framework,tamping frequency,amplitude,and pick speed were optimized by combining response surface method and improved particle swarm algorithm,with ballastbed support stiffness and the ratio of the inter-ballast contact forces exceeding the critical threshold as response values.The results reveal that optimal performance is achieved at a tamping frequency of 39 Hz,an amplitude of 8 mm,and a tamping pick speed of 1 m·s-1.Using these parameters,while ballast bed support stiffness remains basically unchanged,the proportion of inter-ballast contact forces exceeding the critical value decreases by 33.33%.The optimized parameters reduce detrimental forces on the ballast,thereby enhancing work quality and extending its service life.关键词
重载铁路/大机捣固/响应面法/粒子群算法/捣固参数优化Key words
Heavy-haul railway/Machine tamping/Response surface method/Particle swarm optimization/Tamping parameter optimization分类
交通运输引用本文复制引用
许玉德,李少铮,胡猛,薛志强,郭建良..基于响应面法及改进粒子群算法的重载铁路大机捣固作业参数优化[J].中国铁道科学,2025,46(5):88-99,12.基金项目
国家重点研发计划项目(2022YFB2602900) （2022YFB2602900）
国能铁路装备有限责任公司技术开发项目(TZKY22-12) （TZKY22-12）
