有砟高铁捣固作业轨向平顺性控制方法

时瑾; 张雨潇; 陈云峰; 王晓凯; 王英杰

doi:10.19818/j.cnki.1671-1637.2022.02.005

有砟高铁捣固作业轨向平顺性控制方法

doi: 10.19818/j.cnki.1671-1637.2022.02.005

1.
北京交通大学土木建筑工程学院，北京 100044
2.
中国铁路兰州局集团有限公司工务部，甘肃兰州 730000
3.
中国铁道科学研究院集团有限公司铁道建筑研究所，北京 100082

基金项目:

国家自然科学基金项目 52078035

中国国家铁路集团有限公司科技研究开发计划 N2020G011

中国铁道科学研究院集团有限公司重点课题 2020YJ110

详细信息

作者简介:
时瑾(1980-)，男，甘肃临夏人，北京交通大学教授，工学博士，从事铁路线路工程技术研究

中图分类号: U216.42
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出版历程
- 收稿日期: 2021-09-28
- 刊出日期: 2022-04-25

Track alignment irregularity control method for tamping operation of ballasted high-speed railway

1.
School of Civil Engineering, Beijing Jiaotong University, Beijing 100044, China
2.
Maintenance Department, China Railway Lanzhou Group Co., Ltd., Lanzhou 730000, Gansu, China
3.
Railway Engineering Research Institute, China Academy of Railway Sciences Co., Ltd., Beijing 100082, China

Funds:

National Natural Science Foundation of China 52078035

Science and Technology Research and Development Project of China National Railway Group Co., Ltd. N2020G011

Project of Science and Technology of China Academy of Railway Sciences Co., Ltd. 2020YJ110

More Information

Author Bio:
SHI Jin(1980-), male, professor, PhD, jshi@bjtu.edu.cn

摘要

摘要: 为了提升有砟高铁捣固作业质量以满足平顺性控制要求，根据大机作业特征分析了拨道效果影响因素，研究了拨道量范围、拨道策略、拨道量顺坡率、设备精度与作业效果之间的影响关系；结合影响因素分析结果，基于中长波平顺性控制理论建立了拨道方案优化模型，提出了基于拨道量相关性的拨道效果评价方法，实现拨道效果影响因素与拨道方案制定过程的有效结合；在某高速铁路有砟轨道捣固作业之中，验证了轨向平顺性控制方法的有效性。研究结果表明：拨道量过大或过小、拨道量顺坡率超标、拨道策略不利、设备精度不良均容易造成大机拨道作业效果不佳，需在拨道方案制定过程中加强对这些因素的控制和管理；通过在轨向平顺性控制中引入拨道量调整系数，并有效控制中长波不平顺、拨道量限值等参数，可提高计算模型对捣固车固有作业特性的适应能力；基于该方法制定了某作业区段的拨道方案，方案满足轨道平顺性管理要求，符合大机作业特点；采用该方案实施作业后，轨向30 m矢距差降至2 mm，300 m矢距差降至7 mm，降幅分别达到50%和48%；静态轨道质量指数由0.89降至0.64，降幅28%，实践证明提出的轨向平顺性控制方法可有效提升高速铁路有砟轨道平顺性。
- 有砟高铁 /
- 大型养路机械 /
- 捣固作业 /
- 轨道不平顺 /
- 拨道量 /
- 评价方法
Abstract: In order to improve the quality of tamping operation of ballasted high-speed railway to meet the requirement of track alignment irregularity control, the influencing factors of lining effect were analyzed according to the operation characteristics of large machine, and the relationships between lining value range, lining strategy, lining value slope rate, equipment accuracy and operation effect were studied. Combined with the analysis result, based on the medium-long wavelength irregularity control theory, the optimization model of lining plan was established, and the method for evaluating the lining effect based on the lining correlation was proposed to realize the effective combination of the factors affecting the lining effect and the formulation process of lining plan. The effectiveness of track alignment irregularity control method was verified in the tamping operation of a ballasted high-speed railway. Research results show that too large or too small lining value, excessive lining value slope rate, unfavorable lining strategy and poor equipment accuracy are easy to lead to poor operation effect of large machine, so it is necessary to strengthen the control and management of the above factors in the formulating process of lining plan. By introducing the lining coefficient into the track alignment irregularity control and effectively controlling to the parameters such as the medium-long wavelength irregularity and the lining limit, the adaptability of the method to the inherent characteristics of tamping machine improves. The method is applied to formulate a lining plan for a certain operation section, and the lining effect meets the requirement of track alignment irregularity management and the characteristics of tamping machine. After the implementation of the plan, the 30 and 300 m vector distance differences reduce to 2 and 7 mm, with a decrease of 50% and 48%, respectively. The static track quality index reduces from 0.89 to 0.64, with a decrease of 28%. The practice proves that the track alignment irregularity control method can effectively improve the regularity of ballasted high-speed railway. 3 tabs, 15 figs, 26 refs.
- ballasted high-speed railway /
- large maintenance machine /
- tamping operation /
- track alignment irregularity /
- lining value /
- evaluation method

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图 1 案例一捣固数据分析

Figure 1. Tamping data analysis in case 1

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图 2 案例二捣固数据分析

Figure 2. Tamping data analysis in case 2

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图 3 案例三捣固数据分析

Figure 3. Tamping data analysis in case 3

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图 4 各方案拨道量顺坡率

Figure 4. Slope rates of lining values of each case

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图 5 作业前后轨向平顺性

Figure 5. Track alignment irregularities before and after operation

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图 6 拨道量分布

Figure 6. Distribution of lining values

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图 7 拨道量散点拟合结果

Figure 7. Scatter points fitting results of lining values

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图 8 大机作业效果评价

Figure 8. Evaluation of large machine operation effect

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图 9 拨道方案数据分析

Figure 9. Data analysis of lining plan

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图 10 作业前后平面偏差对比

Figure 10. Comparison of plane deviations before and after operation

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图 11 方案与实际拨道量对比

Figure 11. Comparison of calculated and actual lining values

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图 12 作业效果评价

Figure 12. Effect evaluation of operation

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图 13 作业前后中长波平顺性对比

Figure 13. Medium-long wavelength irregularity comparison before and after operation

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图 14 作业区段TQI改善效果分析

Figure 14. Analysis of TQI improvement effect at operation sections

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图 15 静态TQI值统计结果

Figure 15. Statistics results of static TQI values

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表 1 各编号大机拨道量调整系数

Table 1. Adjustment coefficients of lining value of each numbered machine

大机编号	缩放系数	波动系数/ mm	决定系数	累积里程/ km	斜率	截距/ mm
1	0.97	0.69	0.82	23.80	1.04	-0.71
2	1.35	1.90	0.72	18.20	0.74	-1.41
3	0.97	2.05	0.47	14.40	1.03	-2.10
4	0.74	-1.42	0.59	16.80	1.35	1.92

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表 2 拨道方案统计结果

Table 2. Statistics result of lining plan

类别	最大值	最小值	平均值
目标值10 m矢高/mm	0.04	0.00	0.01
目标值30 m矢距差/mm	0.10	0.40	0.02
目标值300 m矢距差/mm	2.20	-2.20	0.31
拨道量/mm	15.00	0.00	3.40
拨道量顺坡率/‰	1.00	0.00	3.00×10^-7
拨道量方向变化率/%	2.30

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表 3 作业前后平顺性

Table 3. Irregularities before and after operation

类别	作业前		作业后
类别	最值	均值	最值	均值
10 m矢高/mm	2.00	0.50	1.80	0.42
30 m矢距差/mm	4.00	0.80	2.00	0.60
300 m矢距差/mm	13.50	2.00	7.00	1.30
TQI均值		0.89		0.64

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