Evidence map›Paper›PMID 39747258›Full record

ArticleScientific reports2025

Study on discrete prediction model for mechanical behavior of buried pipelines under the influence of differential frost heave.

Xiyan Zhang, Lei Chen, Lipei Guan

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Xiyan ZhangQingdao Binhai University, Qingdao, 266555, China.
Lei ChenQingdao Agricultural University, Qingdao, 266109, China. chenlei8@lzb.ac.cn.
Lipei GuanQingdao Binhai University, Qingdao, 266555, China.

Funding

National Natural Science Foundation of China 42301143Natural Science Foundation of Shandong Province ZR2022QD097Natural Science Foundation of Shandong Province ZR2024QE507Qingdao Binhai University Campus Foundation 2024KGZ01
6 · The paper itself

Abstract

Pipelines are the primary mode of oil and gas transport in cold regions. Differential frost heaving of frozen and non-frozen soil masses can damage such pipelines, posing economic and environmental risks. The present study investigates the mechanical behaviors of buried pipelines under differential frost heaving forces. A discrete forecasting model of these mechanical behaviors based on frost heaving springs is proposed. The relationship between the frost heaving amount and force at any moment is established using the Takashi empirical equation and the corresponding development of frost depth. On this basis, the properties of nonlinear frost heaving springs are disclosed. A model of pipeline mechanical state is derived to understand the deformation and stress at any moment, allowing the dynamic prediction of mechanical behaviors. The model is applied to two case studies involving the Caen and Alaska buried pipelines. The modeling results agree well with measurements taken at these pipelines, and the discrete descriptions of their mechanical modes are effective. A sensitivity analysis of the modeling results for pipelines of different size was conducted, providing a theoretical foundation for the optimal design of buried pipelines in cold regions.

Indexed as

DiscretizationForecast modelFrost heavingPipeline–soil interactionTakashi equation

Identifiers

PMID39747258
PMCPMC11697403

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.