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Study on Stress Area Law and Detection Range at Key Locations of Natural Gas Station

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Computational and Experimental Simulations in Engineering (ICCES 2023)

Part of the book series: Mechanisms and Machine Science ((Mechan. Machine Science,volume 145))

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Abstract

In recent years, safety accidents have occurred frequently in natural gas pipelines, mostly due to leakage of natural gas pipelines. Most long-distance natural gas pipelines are large-diameter and high pressure pipelines. A large amount of natural gas is stored in the pipeline, which will have serious consequences in case of leakage. The thinning of pipeline wall thickness is an important factor causing the leakage of natural gas pipeline, so it is necessary to monitor the wall thickness of key points of the pipeline. At present, the recognized monitoring points in the industry are elbows and tees of natural gas stations, but no relevant standards have been formulated for the more detailed detection scope of monitoring points. The author uses fluent simulation software to establish the model, and then uses the pressure sensor for on-site detection to modify the model with the detection results. Then, according to the new model, the stress areas of monitoring points (elbows and tees) with different pipe diameter and curve diameter ratio are studied and summarized, and the detection ranges of different monitoring points are determined on this basis. The detection scope provides reference for the daily work of on-site operators, so as to ensure the safe and stable operation of long-distance natural gas pipeline.

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Correspondence to Gang Liu .

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© 2024 The Author(s), under exclusive license to Springer Nature Switzerland AG

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Liu, G., Liu, R., Qin, Y., Yang, F., Song, H. (2024). Study on Stress Area Law and Detection Range at Key Locations of Natural Gas Station. In: Li, S. (eds) Computational and Experimental Simulations in Engineering. ICCES 2023. Mechanisms and Machine Science, vol 145. Springer, Cham. https://doi.org/10.1007/978-3-031-42987-3_100

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  • DOI: https://doi.org/10.1007/978-3-031-42987-3_100

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-42986-6

  • Online ISBN: 978-3-031-42987-3

  • eBook Packages: EngineeringEngineering (R0)

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