Monitoring Analysis and Prediction of Longitudinal Differential Settlement of Track Structures in Bridge-subgrade Transition Sections in Existing Heavy-haul Railways

被引:0
|
作者
Leng W. [1 ,2 ]
Zhou S. [1 ]
Nie R. [1 ,2 ]
Cheng L. [3 ]
Tu R. [1 ,2 ]
Fan R. [3 ]
机构
[1] School of Civil Engineering, Central South University, Changsha
[2] Key Laboratory of Heavy-Haul Railway Engineering Structure, Ministry of Education, Changsha
[3] China Railway Siyuan Survey and Design Group Co., Ltd., Wuhan
来源
关键词
Bridge-subgrade transition zone; Differential settlement; Existing heavy-haul railway; Settlement prediction and analysis;
D O I
10.3969/j.issn.1001-8360.2021.06.020
中图分类号
学科分类号
摘要
In the existing heavy-haul railways, the transition section, as the weakest link with the most concentrated damages, the most frequent maintenance, and the highest maintenance investment, has always been a key area for operational management, inspection and maintenance. By using horizontal inclinometers, the differential settlement of track structures in bridge-subgrade transition section in Shuozhou-Huanghua heavy haul railway (from Shuozhou in Shanxi Province to Huanghua in Hebei Province) was subjected to long-term field monitoring, to study the distribution characteristics and change laws of the differential settlement and settlement rate. The results show that the longer the distance to the side pier of the bridge along the longitudinal direction of the railway, the greater the differential settlement, the settlement rate and their variation range. In addition, with the increase in the train passing tonnage, the differential settlement grows gradually, while its growth rate gradually decreases until being stable finally. Meanwhile, the exit side of the bridge exhibits more stable settlement and deformation which are distributed more uniformly along the longitudinal direction of the railway. Furthermore, the hyperbolic model, the exponential curve model, and the combined prediction model of the two were used to predict the differential settlement of the transition section. The results suggest that the combined prediction model shows the most satisfactory prediction effect, followed by the exponential curve model, while the hyperbolic model has relatively higher prediction deviation. The research achievements offer guidance and reference for the subsequent research on the characteristics of differential settlement of bridge-subgrade transition sections and the design and construction of track structures in transition sections in heavy-haul railways. © 2021, Department of Journal of the China Railway Society. All right reserved.
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页码:150 / 157
页数:7
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