基于多目标遗传算法的振动熨平板压实系统参数优化  

Parameter optimization for a compaction system of vibration screed of an asphalt paver based on a multi-objective genetic algorithm

作　　者：贾洁[1] 万一品 刘洪海[1] JIA Jie WAN Yipin LIU Honghai(Key Laboratory Road Construction Technology and Equipment Ministry of Education, Chang, an University, Xi, an 710064, China)

机构地区：[1]长安大学道路施工技术与装备教育部重点实验室,西安710064

出　　处：《振动与冲击》2017年第12期230-235,共6页Journal of Vibration and Shock

基　　金：广东省交通运输厅科技计划项目(科技-2015-02-018);中央高校基本科研业务费--长安大学优秀博士学位论文培育资助项目(310825175008)

摘　　要：为了降低激振器振动对熨平板工作稳定性的影响,提高摊铺机熨平板底部混合料的密实度与平整度,以某摊铺机振动压实系统为研究对象,建立了7自由度振动熨平板多目标优化模型,对其进行动态响应分析,得到该系统固有频率及熨平板动态响应量。采用多目标遗传算法对振动压实系统结构参数进行优化并对工艺参数进行优选,获得了该压实系统参数的最优解集及振动熨平板动态响应规律。研究结果为熨平板的设计与施工中在工作频率范围内限制过大动载荷的出现及避免共振现象提供参考。In order to reduce the impact of vibrator vibration on working stability of a screed and improve the compactness and roughness of the mixture at the bottom of the screed, a 7-degree freedom multi-objective optimization model was established. Based on the model, natural frequencies and dynamic responses of the screed were obtained by dynamic response analysis. Besides, a multi-objective genetic algorithm was used to optimize structure parameters and process parameters of the vibration compaction system. The optimal solution set of the compaction system parameters and dynamic response law of the vibration screed were determined. The calculation and analysis above may have a certain guiding significance for preventing the screed from working in resonance region and keeping large dynamic loads under restraint. This work is useful in the design of a screed and construction of pavers.

关 键 词：机械工程 摊铺机 振动压实系统 多目标优化 遗传算法 

分 类 号：U415.52[交通运输工程—道路与铁道工程]