Mechanical Performance of Heavy Haul Railway Bridges Retrofitted using External Prestressing CFRP Tendons

2012 ◽  
Author(s):  
F. Xu ◽  
L.H. Xu ◽  
H. Zeng ◽  
J. Ding
Keyword(s):  
Mechanical Performance ◽  
Railway Bridges ◽  
External Prestressing ◽  
Heavy Haul ◽  
Heavy Haul Railway

scholarly journals Performance Deterioration of Heavy-Haul Railway Bridges under Fatigue Loading Monitored by a Multisensor System

2018 ◽  
Vol 2018 ◽  
pp. 1-14 ◽  
Author(s):  
Zhiwu Yu ◽  
Zhi Shan ◽  
Ju Yuan ◽  
Xiao Li
Keyword(s):  
Fatigue Life ◽  
Fatigue Loading ◽  
Load Level ◽  
Polymer Optical Fiber ◽  
Railway Bridges ◽  
Multisensor System ◽  
Linear Variable Displacement Transducer ◽  
Heavy Haul ◽  
Performance Deterioration ◽  
Heavy Haul Railway

Heavy-haul railway bridges play an increasingly essential role in the transportation in China due to the increasing transport volume. The performance deterioration of the scale models of a typical heavy-haul railway bridge under fatigue loading is monitored in this work, based on a multisensor system including the fiber-reinforced polymer optical fiber Bragg grating and electrical resistance strain gauges, linear variable displacement transducer, and accelerometer. Specifically, by monitoring/observing on the failure mode, fatigue life, load-midspan deflection response, material strain development, and so forth, this work develops an S-N model by comparing the relationship between fatigue life and rebar stress range with that between fatigue life and load level and proposes a damage evolution model considering the coupling of the stiffness degradation and inelastic deformation of specimens. It is found that the fatigue life of specimens is determined by the fatigue life of the rebar at the bottom and it may be lower than 2.0 million cycles with a 30-ton axle weight when environmental factors are taken into account. The predictions of the models agree well with experimental results. Therefore, this work furthers the understanding of the fatigue performance deterioration of the bridges by using a multisensor system.

Comparison and evaluation of railway subgrade quality detection methods

2016 ◽  
Vol 232 (2) ◽  
pp. 356-368 ◽  
Author(s):  
Ru-song Nie ◽  
Wu-ming Leng ◽  
Qi Yang ◽  
Yohchia F Chen ◽  
Fang Xu
Keyword(s):  
Bearing Capacity ◽  
Mechanical Performance ◽  
Detection Methods ◽  
Railway Systems ◽  
Quality Detection ◽  
Study Results ◽  
Heavy Haul ◽  
Modulus Of Deformation ◽  
Dynamic Penetration ◽  
Heavy Haul Railway

Subgrade is a critical component of railway systems since it provides a stable platform for the track substructure. The implementation of quality assurance methods is very important during the construction of a new railway subgrade and in monitoring the working performance of operating railways. There are several indicators available to measure the compaction and mechanical performance of a completed subgrade system, including compaction degree ( K), porosity ( n), modulus of subgrade reaction ( K30), basic bearing capacity ([Formula: see text]), strain moduli ( Ev), dynamic modulus of deformation ( Evd), and light dynamic penetration ( N10). The objective of this research was to compare and evaluate the frequently used engineering methods in order to select the important and reliable indicators of field parameters. Four soil models with different degree of compaction were considered in the common laboratory tests and detection methods in China to determine the construction quality. The implementation and test results of these methods were analyzed and compared. The study results indicate that K correlates with n linearly. There is also a good correlation among K30, Ev, and Evd. As a recommendation, K is considered as the controlling indicator for compaction performance, and Ev2 and Evd are considered as the controlling indicators for railway subgrade stiffness evaluation. The bearing capacity or strength indicators may be added to the quality detection work in heavy-haul railway construction.

scholarly journals Dynamic Response of Railway Bridges under Heavy-Haul Freight Trains

2020 ◽  
Vol 2020 ◽  
pp. 1-13
Author(s):  
Ye Xiao ◽  
Xiaoyong Luo ◽  
Jinhong Liu ◽  
Kun Wang
Keyword(s):  
Dynamic Response ◽  
Fe Model ◽  
Bridge Structure ◽  
Railway Bridge ◽  
Running Speed ◽  
Railway Bridges ◽  
Heavy Haul ◽  
Formation Number ◽  
Axle Loads ◽  
Heavy Haul Railway

In the freight railway bridge, the increase of the train running speed and train axle loads can enlarge dynamic response (DR) of the railway bridges, which leads to excessive vibration of bridges and endangers the structural safety. In this paper, a three-dimensional coupled finite element (FE) model of a heavy-haul freight train-track-bridge (HHFTTB) is established using multibody dynamics theory and FE method, and the DR for the coupled system of HHFTTB are solved by ABAQUS/Explicit dynamic analysis method. The field-measured data for a 32 m simply supported prestressed concrete beam of a heavy-haul railway in China are analyzed, and the validity of the FE model is verified. Finally, the effects of train formation number, train running speed, and train axle loads on DR of the heavy-haul railway bridge structures are studied. The results show that increasing the train formation number only has an influence on DR duration of the bridge structure, rather than the peak value of DR, when the train formation number exceeds a certain number; besides, the train axle loads and train running speed have significant influence on DR of the bridge structure. The results of this study can be used as reference for the design of heavy-haul railway bridges and the reinforcement transformation of existing railway bridges.

Field test and numerical analysis of Insulated rail joints in heavy-haul railway

2021 ◽  
Vol 298 ◽  
pp. 123905
Author(s):  
Hong Xiao ◽  
Guangpeng Liu ◽  
Dongwei Yan ◽  
Yue Zhao ◽  
Jiaqi Wang ◽  
...  
Keyword(s):  
Numerical Analysis ◽  
Field Test ◽  
Heavy Haul ◽  
Heavy Haul Railway

An Improved Marginal Index Method to Diagnose Poor Welded Joints of Heavy-haul Railway

2021 ◽  
Author(s):  
Binghuan Xiao ◽  
Xuegeng Mao ◽  
Jinzhao Liu ◽  
Liubin Niu ◽  
Xiaodi Xu ◽  
...  
Keyword(s):  
Welded Joints ◽  
Index Method ◽  
Heavy Haul ◽  
Heavy Haul Railway
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