Experimental study on uplift mechanism of pipeline buried in sand using high-resolution fiber optic strain sensing nerves

Li, Haojie; Zhu, Hong‐Hu; Li, Yuanhai; Zhang, Chunxin; Shi, Bin

doi:10.1016/j.jrmge.2022.04.009

Cited by 21 publications

(2 citation statements)

References 46 publications

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“…The maximum subsidence value is 1.54 m, which is 3.57% different from the field-measured value of 1.597 m, which verifies the accuracy of the numerical model and, at the same time, lays a foundation for the subsequent study of the spatialtemporal evolution law of the surface subsidence and pipeline, loaded and deformed. Zhou Min [33] and Li Haojie et al [34] analyzed the pipe's deformation characteristics under surface subsidence and the fact that the spatial distribution pattern of the pipe and the sand-soil body undergoing subsidence conform to the Gaussian curve. At the same time, due to the stiffness difference between the pipe and the sandy soil, the phenomenon of pipe-soil separation occurs, indicating the existence of coordinated and non-coordinated deformation between the pipe and the sandy soil body in the subsidence zone, which verifies the accuracy of the results in Section 5.1.…”

Section: Discussionmentioning

confidence: 99%

Spatio-Temporal Evolution of Loading and Deformation of Surface Gas Pipelines for High-Intensity Coalbed Mining and Its Integrity Prediction Methodology

Xu,

Liang,

Liang

et al. 2024

Processes

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In recent years, the integrity of the gas pipeline in the coal-gas co-mining subsidence area has become a critical problem, restricting the safe and efficient mining of coal resources. This paper establishes a theoretical model for the safety prediction of gas pipelines in mining subsidence areas based on elastic free theory, constructs a 3D model of pipe-sand soil by using ABAQUS simulation software (2021), analyzes the characteristics of ground surface and pipeline settlement combined with the measured data on-site, and reveals the temporal and spatial evolution law of the pipeline load and deformation under the condition of diagonal intersections of the pipeline and high-strength mining working face. The results show that during the mining cycle, the pipe and the sandy soil body experienced the stage of cooperative deformation, the stage of increasing non-cooperative deformation, and the stage of weakening non-cooperative deformation; the pipe body is most vulnerable to yield failure in the circumferential direction of 180°, 45°, 225°, and 0°; the relative deformation rate of the pipe experienced a slow and rapid increase in the stage, and tends to flatten out when the advancement length is about 1.5–2 times the distance at the taken cross-section. The study’s results are conducive to accurately predicting the pipe failure orientation under high-intensity mining conditions in coal seams, improving the diagnostic efficiency of pipes, and optimizing the advancement speed of the working face.

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Section: Discussionmentioning

confidence: 99%

Spatio-Temporal Evolution of Loading and Deformation of Surface Gas Pipelines for High-Intensity Coalbed Mining and Its Integrity Prediction Methodology

Xu,

Liang,

Liang

et al. 2024

Processes

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“…It has been widely used in pipeline safety monitoring in recent years. For instance, distributed temperature sensing (DTS) technology is used to monitor pipeline leakages [ 69 , 70 ] and distributed strain sensing (DSS) technology is used to monitor pipeline deformations [ 71 , 72 , 73 ]. However, they are static monitoring technologies and cannot perform the real-time and dynamic monitoring of pipelines.…”

Section: Applications Of Das In Linear Infrastructure Monitoringmentioning

confidence: 99%

Distributed Acoustic Sensing for Monitoring Linear Infrastructures: Current Status and Trends

Zhu

Liu

Wang

et al. 2022

Sensors

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Linear infrastructures, such as railways, tunnels, and pipelines, play essential roles in economic and social development worldwide. However, under the influence of geohazards, earthquakes, and human activities, linear infrastructures face the potential risk of damage and may not function properly. Current monitoring systems for linear infrastructures are mainly based on non-contact detection (InSAR, UAV, GNSS, etc.) and geotechnical instrumentation (extensometers, inclinometers, tiltmeters, piezometers, etc.) techniques. Regarding monitoring sensitivity, frequency, and coverage, most of these methods have some shortcomings, which make it difficult to perform the accurate, real-time, and comprehensive monitoring of linear infrastructures. Distributed acoustic sensing (DAS) is an emerging sensing technology that has rapidly developed in recent years. Due to its unique advantages in long-distance, high-density, and real-time monitoring, DAS arrays have shown broad application prospects in many fields, such as oil and gas exploration, seismic observation, and subsurface imaging. In the field of linear infrastructure monitoring, DAS has gradually attracted the attention of researchers and practitioners. In this paper, recent research and the development activities of applying DAS to monitor different types of linear infrastructures are critically reviewed. The sensing principles are briefly introduced, as well as the main features. This is followed by a summary of recent case studies and some critical problems associated with the implementation of DAS monitoring systems in the field. Finally, the challenges and future trends of this research area are presented.

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Shear deformation calculation of landslide using distributed strain sensing technology considering the coupling effect

et al. 2023

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Experimental study on uplift mechanism of pipeline buried in sand using high-resolution fiber optic strain sensing nerves

Cited by 21 publications

References 46 publications

Spatio-Temporal Evolution of Loading and Deformation of Surface Gas Pipelines for High-Intensity Coalbed Mining and Its Integrity Prediction Methodology

Spatio-Temporal Evolution of Loading and Deformation of Surface Gas Pipelines for High-Intensity Coalbed Mining and Its Integrity Prediction Methodology

Distributed Acoustic Sensing for Monitoring Linear Infrastructures: Current Status and Trends

Shear deformation calculation of landslide using distributed strain sensing technology considering the coupling effect

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