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Study on the optimal test parameters for vibration compaction based on the control of physical-mechanical indicators
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Zhongrui Chen, Yanxi Xiong, Ronghui Yan, Zhibo Cheng, Taifeng Li, Hongfu Tan
Railway Sciences | 2025, 4(3) : 388 - 409
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Railway Sciences | 2025, 4(3): 388-409
Research paper
Study on the optimal test parameters for vibration compaction based on the control of physical-mechanical indicators
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Zhongrui Chen, Yanxi Xiong, Ronghui Yan, Zhibo Cheng, Taifeng Li, Hongfu Tan
Affiliations
  • School of Intelligent Manufacturing and Smart Transportation, Suzhou City University, Suzhou, China
  • Institute of Computing Technologies, China Academy of Railway Sciences Corporation Limited, Beijing, China
  • Railway Engineering Research Institute, China Academy of Railway Sciences Corporation Limited, Beijing, China
  • National Railway Administration Engineering Quality Supervision Center, Beijing, China
  • Ronghui Yan worked as a visiting researcher in the University of Idaho. She is now an associate professor of Suzhou City University. Her research interests focus on infrastructure health monitoring for transportation, signal processing and pattern recognition.

Published: 2025-06-10 doi: 10.1108/RS-03-2025-0007
Outline
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Purpose

The indoor vibration compaction test (IVCT) was a key step in controlling the compaction quality for high-speed railway graded aggregate (HRGA), which currently had a research gap on the assessment indicators and compaction parameters.

Design/methodology/approach

To address these issues, a novel multi-indicator IVCT method was proposed, including physical indicator dry density (ρd) and mechanical indicators dynamic stiffness (Krb) and bearing capacity coefficient (K20). Then, a series of IVCTs on HRGA under different compaction parameters were conducted with an improved vibration compactor, which could monitor the physical-mechanical indicators in real-time. Finally, the optimal vibration compaction parameters, including the moisture content (ω), the diameter-to-maximum particle size ratio (Rd), the thickness-to-maximum particle size ratio (Rh), the vibration frequency (f), the vibration mass (Mc) and the eccentric distance (re), were determined based on the evolution characteristics for the physical-mechanical indicators during compaction.

Findings

All results indicated that the ρd gradually increased and then stabilized, and the Krb initially increased and then decreased. Moreover, the inflection time of the Krb was present as the optimal compaction time (Tlp) during compaction. Additionally, optimal compaction was achieved when ω was the water-holding content after mud pumping, Rd was 3.4, Rh was 3.5, f was the resonance frequency, and the ratio between the excitation force and the Mc was 1.8.

Originality/value

The findings of this paper were significant for the quality control of HRGA compaction.

High-speed railway subgrade  /  Graded aggregates  /  Vibratory compaction test  /  Optimal vibration compaction parameters  /  Physical-mechanical indicator
Zhongrui Chen, Yanxi Xiong, Ronghui Yan, Zhibo Cheng, Taifeng Li, Hongfu Tan. Study on the optimal test parameters for vibration compaction based on the control of physical-mechanical indicators[J]. Railway Sciences, 2025 , 4 (3) : 388 -409 . DOI: 10.1108/RS-03-2025-0007
  • the National Key R&D Program "Transportation Infrastructure" project(2022YFB2603400)
  • the Technology Research and Development Plan Program of China State Railway Group Co., Ltd.(Q2024T001)
  • the National project pre research project of Suzhou City University(2023SGY019)
Year 2025 volume 4 Issue 3
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Article Info
doi: 10.1108/RS-03-2025-0007
  • Receive Date:2025-03-28
  • Online Date:2026-06-11
  • Published:2025-06-10
Article Data
Affiliations
History
  • Received:2025-03-28
  • Revised:2025-05-11
  • Accepted:2025-05-13
Funding
the National Key R&D Program "Transportation Infrastructure" project(2022YFB2603400)
the Technology Research and Development Plan Program of China State Railway Group Co., Ltd.(Q2024T001)
the National project pre research project of Suzhou City University(2023SGY019)
Affiliations
    School of Intelligent Manufacturing and Smart Transportation, Suzhou City University, Suzhou, China
    Institute of Computing Technologies, China Academy of Railway Sciences Corporation Limited, Beijing, China
    Railway Engineering Research Institute, China Academy of Railway Sciences Corporation Limited, Beijing, China
    National Railway Administration Engineering Quality Supervision Center, Beijing, China

Corresponding:

Ronghui Yan can be contacted at:
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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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