首页|A method for support stiffness failure identification in a steel spring floating slab track of urban railway: a case study in China

A method for support stiffness failure identification in a steel spring floating slab track of urban railway: a case study in China

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The extensive use of steel spring floating slab tracks has effectively addressed the challenge of alleviating the environmental vibrations induced by urban rail transit systems. However, under the combined action of train dynamic loads and complex environmental factors, problems, such as the fracture of steel spring vibration isolators and suspension vibrations induced by the uneven settlement of the base, often occur. The failure of isolator support stiffness is often hidden in its early stages and is challenging to identify by conventional detection methods. At the same time, it will aggravate the wheel-rail interaction, accelerate the deterioration of track structure, and even affect the driving safety. This study first establishes a detailed coupled train-floating slab track-foundation analytical model. Then the influence of the vibration isolator support stiffness failure on the dynamic indices of the floating slab track system response is analyzed. A set of defect identification methods that can detect the number of failed steel springs, severity of damage, and their location is proposed. Finally, an intelligent monitoring system for support stiffness of floating slab track is built by combining the density-based spatial clustering of applications with noise algorithm and statistical data analysis and is applied to a rail line in southern China. During a three-year monitoring campaign, a suspension failure and a fracture of a steel spring were each successfully detected and detailed failure information was obtained. Field investigation results were consistent with the damage identification results. After repair, the track structure dynamic response returned to the average pre-damage level and further deterioration had been arrested. The proposed damage identification methods and monitoring system provide an approach for intelligent identification of track structure support stiffness failures.

Floating slab trackSupport stiffnessDetailed analytical modelFailure identificationMonitoring system

Junyuan ZHENG、Caiyou ZHAO、Duojia SHI、Ping WANG、Jian WANG、Bolong JIANG、Xi SHENG

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Key Laboratory of High-speed Railway Engineering, Ministry of Education, Southwest Jiaotong University, Chengdu 610031, China

School of Civil Engineering, Southwest Jiaotong University, Chengdu 610031, China

01 DYNA (Qingdao) Test & Data Co., Ltd., Qingdao 266000, China

Rail Transit Digital Construction and Measurement Technology National Engineering Research Center, China Railway Design Corporation, Tianjin 300308, China

Institute of Urban Smart Transportation & Safety Maintenance, Shenzhen University, Shenzhen 518060, China

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National Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaApplied Basic Research Programs of Science and Technology Commission Foundation of Sichuan ProvinceFoundation of Highspeed Rail Joint Fund Key Projects of Basic ResearchFoundation of National Engineering Laboratory for Digital Construction Evaluation Technology of Urban Rail Transit,China

51978585520082642020YJ0214U17342072023JZ01

2024

浙江大学学报(英文版)(A辑:应用物理和工程)
浙江大学

浙江大学学报(英文版)(A辑:应用物理和工程)

CSTPCD
影响因子:0.556
ISSN:1673-565X
年,卷(期):2024.25(3)
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