Ratcheting analysis of “pipe – freezing soil” interaction

Cherniavsky, A.

doi:10.1016/j.coldregions.2018.05.005

Cited by 6 publications

(2 citation statements)

References 6 publications

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“…After fourteen freeze-thaw cycles, the principal compressive stress of the Q345 steel pipeline reached -224.733 MPa (65.14% of the yield stress) and tended to be saturated. This was consistent with the ratcheting effect predicted by the freeze-thaw cycle theory (Cherniavsky, 2018). Therefore, pipeline scale test had important reference value for actual pipeline engineering design.…”

Section: Discussionsupporting

confidence: 86%

Pipeline Stress Test Simulation Under Freeze-Thaw Cycling via the XGBoost-Based Prediction Model

Teng

et al. 2022

Front. Earth Sci.

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This study conducted ten freeze-thaw cyclic tests to clarify the effect of freeze-thaw cycles on the forces acting on the buried oil pipeline. The stress evolution in the Q345 steel pipeline versus the number of freeze-thaw cycles was obtained. The test results were consistent with the COMSOL simulation of the effect of different moisture contents on the pipeline bottom stress. Besides the proposed XGBoost model, eleven machine-learning stress prediction models were also applied to 10–20 freeze-thaw cycling tests. The results showed that during the freeze-thaw process, the compressive stress at the pipeline bottom did not exceed −69.785 MPa. After eight freeze-thaw cycles, the extreme value of the principal stress of -252.437MPa, i.e., 73.17% of the yield stress, was reached. When the initial moisture content exceeded 20%, the eighth freeze-thaw cycle’s pipeline stress decreased remarkably. The XGBoost model effectively predicted the pipeline’s principal stress in each cycle of 10 freeze-thaw cyclic tests, with R2 = 0.978, MSE = 0.021, and MAE = 0.102. The above compressive stress fluctuated from −131.226 to −224.105 MPa. The predicted values well matched the experimental ones, being in concert with the “ratcheting effect” predicted by the freeze-thaw cycle theory. The results obtained provide references for the design, operation, and maintenance of buried oil pipelines.

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Section: Discussionsupporting

confidence: 86%

Pipeline Stress Test Simulation Under Freeze-Thaw Cycling via the XGBoost-Based Prediction Model

Teng

et al. 2022

Front. Earth Sci.

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“…If more factors of the frozen soil environment are considered, the calculation results will be more accurate [23,39,40]. Some scholars [41][42][43][44][45][46] developed the THM coupling model by combining the TH coupling model with the porosity-strain relationship and conducted a further study on the THM coupling mechanism for the frozen soil by integrating Galerkin discretization, fluid dynamics theory, and an actual case. The phase change equation for the temperature field takes porosity as the variable, and the moisture migration equation is in Figure 2.…”

Section: Mechanism Of Multiphysical Field Coupling For Thementioning

confidence: 99%

A Review of the Research on Thermo-Hydro-Mechanical Coupling for the Frozen Soil

Teng

Liu

et al. 2022

Geofluids

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This paper reviews the history of the research development on the coupling mechanism of the multiphysical field, e.g., thermo-hydro-mechanical (THM), for frozen soil. The objective is to deepen the current understanding of the theories and mechanism of multiphysical field coupling in the frozen soil and the dynamic changes in the temperature, moisture, and stress fields during soil freezing. A new differential equation of the coupling of temperature field and moisture field is proposed. Based on the DiscreteFrechetDist algorithm, a fitting method of evaluating a curve is proposed. The paper is expected to help understand the soil freezing process in cold regions and enhance the innovativeness of the research methodologies dealing with multifield coupling for the frozen soil.

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Pipeline Integrity Management

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Defect Assessment for Integrity Management of Pipelines

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Ratcheting analysis of “pipe – freezing soil” interaction

Cited by 6 publications

References 6 publications

Pipeline Stress Test Simulation Under Freeze-Thaw Cycling via the XGBoost-Based Prediction Model

Pipeline Stress Test Simulation Under Freeze-Thaw Cycling via the XGBoost-Based Prediction Model

A Review of the Research on Thermo-Hydro-Mechanical Coupling for the Frozen Soil

Pipeline Integrity Management

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