Identification of Moving Train Axle Loads for Simply Supported Composite Beam Bridges in Urban Rail Transit

With the rapid urbanization and expansion of rail transit systems, the axle loads of trains, which are a critical aspect of their configuration, have significantly increased. This increase poses substantial potential threats to the safety and service life of existing bridges within urban rail transi...

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Main Authors: Huahuai Sun, Xiyang Peng, Jun Xu, Hongkai Tu
Format: Article
Language:English
Published: MDPI AG 2024-09-01
Series:Applied Sciences
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Online Access:https://www.mdpi.com/2076-3417/14/18/8310
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author Huahuai Sun
Xiyang Peng
Jun Xu
Hongkai Tu
author_facet Huahuai Sun
Xiyang Peng
Jun Xu
Hongkai Tu
author_sort Huahuai Sun
collection DOAJ
description With the rapid urbanization and expansion of rail transit systems, the axle loads of trains, which are a critical aspect of their configuration, have significantly increased. This increase poses substantial potential threats to the safety and service life of existing bridges within urban rail transit networks. Therefore, it is imperative to develop methods for monitoring and identifying train axle loads. In this study, a strain field measurement scheme was devised and implemented for an operational simply supported composite beam bridge in urban rail transit. This involved numerical modeling and validation of the bridge’s structural response, followed by the calculation of strain influence lines at specific measurement points. Subsequently, a method for identifying train axle loads, considering the dynamic amplification effect, was established. This method integrates principles from strain influence lines with mathematical optimization techniques. Specifically, the axle loads of locomotives on the forward AC03 type trains of Shanghai Metro Line 3 were found to conform to a logarithmic normal distribution model, while those of middle carriages followed a normal distribution model. Their respective mean axle loads were determined as 9.64 t and 10.77 t, with a shared variance of 0.8. Similarly, the axle loads of locomotives and middle carriages on reverse AC03-type trains also followed normal distribution models, with identical mean values around 10.5 t. The variances for axle loads of locomotives and middle carriages of reverse trains were found to be 1.36 and 0.8, respectively. The developed method effectively enables the monitoring of train axle loads and assessment of their impact on bridge structures, therefore enhancing safety and operational reliability within urban rail transit systems.
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spelling doaj-art-360be1f7a533495a8fb252e2f2eac61c2025-08-20T03:32:19ZengMDPI AGApplied Sciences2076-34172024-09-011418831010.3390/app14188310Identification of Moving Train Axle Loads for Simply Supported Composite Beam Bridges in Urban Rail TransitHuahuai Sun0Xiyang Peng1Jun Xu2Hongkai Tu3College of Civil Science and Engineering, Yangzhou University, Yangzhou 225127, ChinaCollege of Civil Science and Engineering, Yangzhou University, Yangzhou 225127, ChinaDepartment of Bridge Engineering, Tongji University, Shanghai 200092, ChinaThe Shanghai Municipal People’s Government Affairs Administration, Shanghai 200092, ChinaWith the rapid urbanization and expansion of rail transit systems, the axle loads of trains, which are a critical aspect of their configuration, have significantly increased. This increase poses substantial potential threats to the safety and service life of existing bridges within urban rail transit networks. Therefore, it is imperative to develop methods for monitoring and identifying train axle loads. In this study, a strain field measurement scheme was devised and implemented for an operational simply supported composite beam bridge in urban rail transit. This involved numerical modeling and validation of the bridge’s structural response, followed by the calculation of strain influence lines at specific measurement points. Subsequently, a method for identifying train axle loads, considering the dynamic amplification effect, was established. This method integrates principles from strain influence lines with mathematical optimization techniques. Specifically, the axle loads of locomotives on the forward AC03 type trains of Shanghai Metro Line 3 were found to conform to a logarithmic normal distribution model, while those of middle carriages followed a normal distribution model. Their respective mean axle loads were determined as 9.64 t and 10.77 t, with a shared variance of 0.8. Similarly, the axle loads of locomotives and middle carriages on reverse AC03-type trains also followed normal distribution models, with identical mean values around 10.5 t. The variances for axle loads of locomotives and middle carriages of reverse trains were found to be 1.36 and 0.8, respectively. The developed method effectively enables the monitoring of train axle loads and assessment of their impact on bridge structures, therefore enhancing safety and operational reliability within urban rail transit systems.https://www.mdpi.com/2076-3417/14/18/8310simply supported composite beam bridgeurban rail traininfluence line theoryaxle load identificationon-site measurement
spellingShingle Huahuai Sun
Xiyang Peng
Jun Xu
Hongkai Tu
Identification of Moving Train Axle Loads for Simply Supported Composite Beam Bridges in Urban Rail Transit
Applied Sciences
simply supported composite beam bridge
urban rail train
influence line theory
axle load identification
on-site measurement
title Identification of Moving Train Axle Loads for Simply Supported Composite Beam Bridges in Urban Rail Transit
title_full Identification of Moving Train Axle Loads for Simply Supported Composite Beam Bridges in Urban Rail Transit
title_fullStr Identification of Moving Train Axle Loads for Simply Supported Composite Beam Bridges in Urban Rail Transit
title_full_unstemmed Identification of Moving Train Axle Loads for Simply Supported Composite Beam Bridges in Urban Rail Transit
title_short Identification of Moving Train Axle Loads for Simply Supported Composite Beam Bridges in Urban Rail Transit
title_sort identification of moving train axle loads for simply supported composite beam bridges in urban rail transit
topic simply supported composite beam bridge
urban rail train
influence line theory
axle load identification
on-site measurement
url https://www.mdpi.com/2076-3417/14/18/8310
work_keys_str_mv AT huahuaisun identificationofmovingtrainaxleloadsforsimplysupportedcompositebeambridgesinurbanrailtransit
AT xiyangpeng identificationofmovingtrainaxleloadsforsimplysupportedcompositebeambridgesinurbanrailtransit
AT junxu identificationofmovingtrainaxleloadsforsimplysupportedcompositebeambridgesinurbanrailtransit
AT hongkaitu identificationofmovingtrainaxleloadsforsimplysupportedcompositebeambridgesinurbanrailtransit