基于多目标遗传算法的振动熨平板压实系统参数优化

贾 洁 万一品 刘洪海

振动与冲击 ›› 2017, Vol. 36 ›› Issue (12) : 230-235.

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PDF(995 KB)
振动与冲击 ›› 2017, Vol. 36 ›› Issue (12) : 230-235.
论文

基于多目标遗传算法的振动熨平板压实系统参数优化

  • 贾  洁 万一品 刘洪海
作者信息 +

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

  • JIA Jie  WAN Yi-pin  LIU Hong-hai
Author information +
文章历史 +

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。

Abstract

In order to reduce the impact of vibrator vibration on working stability of screed and improve the compactness and roughness of mixture at the bottom of 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 the dynamic response analysis. Besides, 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 vibration screed were determined. The calculation and analysis above may have a certain guiding significance for preventing the screed from working on resonance region and for keeping the large dynamic loads under restraint, which can be applied to design of screed and construction of paver.

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

Key words

mechanical engineering / paver / vibration compaction system / multi-objective optimization / genetic algorithm

引用本文

导出引用
贾 洁 万一品 刘洪海. 基于多目标遗传算法的振动熨平板压实系统参数优化[J]. 振动与冲击, 2017, 36(12): 230-235
JIA Jie WAN Yi-pin LIU Hong-hai. Parameter optimization for compaction system of vibration screed of asphalt payer based on multi-objective genetic algorithm[J]. Journal of Vibration and Shock, 2017, 36(12): 230-235

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