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Research on heavy-haul adaptive technology and strengthening measures for existing railway steel bridge
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Xiaochen Ju
Railway Sciences | 2023, 2(4) : 459 - 469
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Railway Sciences | 2023, 2(4): 459-469
Research paper
Research on heavy-haul adaptive technology and strengthening measures for existing railway steel bridge
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Xiaochen Ju
Affiliations
  • China Academy of Railway Sciences Corporation Limited, Railway Engineering Research Institute, Beijing, China
Published: 2023-11-10 doi: 10.1108/RS-10-2023-0035
Outline
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Purpose

This research addresses the diverse characteristics of existing railway steel bridges in China, including variations in construction age, design standards, structural types, manufacturing processes, materials and service conditions. It also focuses on prominent defects and challenges related to heavy transportation conditions, particularly low live haul reserves and severe fatigue problems.

Design/methodology/approach

The study encompasses three key aspects: (1) Adaptability assessment: It begins with assessing the suitability of existing railway steel bridges for heavy-haul operations through comprehensive analyses, experiments and engineering applications. (2) Strengthening: To combat frequent crack defects in the vertical stiffener end structure of girder webs, fatigue performance tests and reinforcement scheme experiments were conducted. These experiments included the development of a hot-spot stress S-N curve for this structure, validating the effectiveness of methods like crack stop holes, ultrasonic hammering and flange angle steel. (3) Service life extension: Research on the cruciform welded joint structure (non-fusion transfer type) focused on fatigue performance over the long life cycle. This led to the establishment of a fatigue S-N curve, enhancing Chinese design codes.

Findings

The research achieved several significant outcomes: (1) Successful implementation of strengthening and retrofitting measures on a 64-m single-span double-track railway steel truss girder on an existing heavy-duty line. (2) Post-reinforcement, a substantial 26% to 32% reduction in live haul stress on bridge members was achieved. (3) The strengthening and retrofitting efforts met design expectations, enabling the bridge to accommodate vehicles with a 30-ton axle haul on the railway line.

Originality/value

This research systematically tackles challenges and defects associated with Chinese existing railway steel bridges, providing valuable insights into adaptability assessment, strengthening techniques and service life extension methods. Furthermore, the development of fatigue S-N curves and the successful implementation of bridge enhancements have practical implications for improving the resilience and operational capacity of railway steel bridges in China.

Heavy haul  /  Steel bridge  /  Adaptability  /  Reinforcement
Xiaochen Ju. Research on heavy-haul adaptive technology and strengthening measures for existing railway steel bridge[J]. Railway Sciences, 2023 , 2 (4) : 459 -469 . DOI: 10.1108/RS-10-2023-0035
  • the China High-Speed Rail Joint Fund(U1934209)
  • the CARS Fund(2023YJ124)
Year 2023 volume 2 Issue 4
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Article Info
doi: 10.1108/RS-10-2023-0035
  • Receive Date:2023-10-12
  • Online Date:2026-06-11
  • Published:2023-11-10
Article Data
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History
  • Received:2023-10-12
  • Revised:2023-10-13
  • Accepted:2023-10-13
Funding
the China High-Speed Rail Joint Fund(U1934209)
the CARS Fund(2023YJ124)
Affiliations
    China Academy of Railway Sciences Corporation Limited, Railway Engineering Research Institute, Beijing, China

Corresponding:

Xiaochen Ju can be contacted at:
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Citations
表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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