Characteristics of road freezing-thawing environments in China oriented towards construction and maintenance

Abstract Road infrastructure suffers irreversible damage during service due to periodic or seasonal freeze-thaw (F-T) cycles, resulting in significant economic losses to the nation. However, systematic evaluation parameters for the entire road F-T environment are lacking, and there is insufficient understanding and short-term prediction of the underlying F-T environment changes and distribution. In this study, 13 F-T environmental parameters in three categories were summarized by combining meteorological parameters and multi-field evaluation parameters. Taking Shiquan River Town as an example, the statistical probability of road F-T environmental parameters was clarified by using the generalized extreme value (GEV) distribution. The study also clarified the spatiotemporal characteristics of road F-T environment across regions based on key F-T environmental parameters. The frequency of F-T events in China increases from south to north and from east to west, and F-T processes are influenced by regional altitude and latitude. Meanwhile, the temporal variation of the F-T environment in China shows significant seasonality. The F-T environment transitions from short-duration, high-frequency F-T cycles to longer-duration, low-frequency F-T cycles. The initial moisture condition of the road F-T environment in the northeastern regions increases, but the additional moisture during the F-T process decreases. This study provides critical insights into understanding the underlying mechanisms and short-term prediction of the road F-T environment changes, which can be used as a basis for the planning, construction, and maintenance of road infrastructure in China.

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Publication Details

Journal
Measurement Science and Technology
Published
2024-11-21
DOI
https://doi.org/10.1088/1361-6501/ad950f
Citations
13
Primary Topic
Smart Materials for Construction
Type
article
Field-Weighted Citation Impact
1.73
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article

Characteristics of road freezing-thawing environments in China oriented towards construction and maintenance

Mengling Cheng, Jianxing Wang, Xinyue Hu, Shiyuan Li et al.
13 citations
Measurement Science and Technology
Smart Materials for Construction
1.73
article

Characteristics of road freezing-thawing environments in China oriented towards construction and maintenance

Mengling Cheng, Jianxing Wang, Xinyue Hu, Shiyuan Li, Peng Ni, Xuze Ye
article en
13 citations

Abstract

Abstract Road infrastructure suffers irreversible damage during service due to periodic or seasonal freeze-thaw (F-T) cycles, resulting in significant economic losses to the nation. However, systematic evaluation parameters for the entire road F-T environment are lacking, and there is insufficient understanding and short-term prediction of the underlying F-T environment changes and distribution. In this study, 13 F-T environmental parameters in three categories were summarized by combining meteorological parameters and multi-field evaluation parameters. Taking Shiquan River Town as an example, the statistical probability of road F-T environmental parameters was clarified by using the generalized extreme value (GEV) distribution. The study also clarified the spatiotemporal characteristics of road F-T environment across regions based on key F-T environmental parameters. The frequency of F-T events in China increases from south to north and from east to west, and F-T processes are influenced by regional altitude and latitude. Meanwhile, the temporal variation of the F-T environment in China shows significant seasonality. The F-T environment transitions from short-duration, high-frequency F-T cycles to longer-duration, low-frequency F-T cycles. The initial moisture condition of the road F-T environment in the northeastern regions increases, but the additional moisture during the F-T process decreases. This study provides critical insights into understanding the underlying mechanisms and short-term prediction of the road F-T environment changes, which can be used as a basis for the planning, construction, and maintenance of road infrastructure in China.

Measurement Science and TechnologyVol. 36(1)
The University of Sydney (AU), Humboldt-Universität zu Berlin (DE), China Railway Group (China) (CN), Dalian Maritime University (CN), Southwest Jiaotong University (CN), The University of Tokyo (JP)
Industry, innovation and infrastructure
Openalex Percentile: Top 17%
Smart Materials for Construction
1.73
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