STRUCTURAL OPTIMIZATION FOR CONTINUOUS CHANGE RAIL LINE BASED ON IMPROVED ALGORITHMS CHAOS

WU YuanKe; LIU Fang; LIU ChaoQun; LI WenTao; SUN JingKun

doi:10.16579/j.issn.1001.9669.2016.01.017

您当前的位置：

首页 >

文章列表页 >

STRUCTURAL OPTIMIZATION FOR CONTINUOUS CHANGE RAIL LINE BASED ON IMPROVED ALGORITHMS CHAOS

更新时间：2022-09-22

- STRUCTURAL OPTIMIZATION FOR CONTINUOUS CHANGE RAIL LINE BASED ON IMPROVED ALGORITHMS CHAOS
- Journal of Mechanical Strength Vol. 38, Issue 1, Pages: 87-93(2016)
- 作者机构：
  
  1. 西南交通大学机械工程学院
- 作者简介：
- 基金信息：
- DOI：10.16579/j.issn.1001.9669.2016.01.017
  CLC：
扫描看全文
WU YuanKe, LIU Fang, LIU ChaoQun, et al. STRUCTURAL OPTIMIZATION FOR CONTINUOUS CHANGE RAIL LINE BASED ON IMPROVED ALGORITHMS CHAOS. [J]. 38(1):87-93(2016)
DOI：

WU YuanKe, LIU Fang, LIU ChaoQun, et al. STRUCTURAL OPTIMIZATION FOR CONTINUOUS CHANGE RAIL LINE BASED ON IMPROVED ALGORITHMS CHAOS. [J]. 38(1):87-93(2016) DOI： 10.16579/j.issn.1001.9669.2016.01.017.

摘要

总结了换轨车换轨工作的六种典型工况。采用了三种方法计算换轨车换轨工作载荷并且建立了伸缩式换轨车换轨工作装置的理论模型。采用加速因子和惯性权重改进了的粒子群算法,并在其中加入了混沌算法,针对于伸缩臂六边形截面的5个主要参数进行优化。优化结果表明;伸缩臂质量降低了29.6%,整机质心位置下降,配以伸缩功能的配重也会较小,实现了换轨车前后转向架轴重的平衡,提高了换轨车整机稳定性。

Abstract

Summed up six typical working conditions of the rail track replacement device. Its working load is calculated by three kinds of method. And the theoretical model of telescopic rail track replacement car for work equipment is established.Accelerating factor and inertia weight Improved PSO,and adding the chaos algorithm optimize five main parameters of hexagonal cross-section telescopic boom. The optimization results show,telescopic quality has reduced by 29. 6%; overall centroid position has down; counterweight with telescopic functionis smaller; the balance of front and rear axle bogie track replacement has achieved; In other railcars improved machine stability.

关键词

典型工况理论模型混沌算法参数优化

Keywords

Typical conditionsTheoretical modelChaos algorithmParameters optimization

references

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

A FAULT DIAGNOSIS METHOD BASED ON SUPPORT VECTOR MACHINE OPTIMIZED BY IMPROVED FRUIT FLY OPTIMIZATION ALGORITHM

A FAULT DIAGNOSIS METHOD BASED ON IMPROVED ARTIFICAL BEE COLONY OPTIMIZE SUPPORT VECTOR MACHINE

KINEMATICS CHARACTERISTICS AND MODELING METHOD OF GANTRY PARALLEL STRUCTURE

VIBRATION OPTIMIZATION AND CONTROL OF SEVEN-AXLE HYBRID COUPLING HYDRO-PNEUMATIC SUSPENSION VEHICLE

Related Author

No data

Related Institution

Department of Public Science,Henan Vocational College Of Nursing

School of Information Engineering,ZhengZhou Shengda University of Economics,Business ＆ Management

School of Electrical Engineering Jiujiang Vocational and Technical College

Jiangxi Environmental Engineering Vocational College

Aviation Technology Key Laboratory for Full-Scale Aircraft Structures Static/Fatigue,Aircraft Strength Research Institute

⁰