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    Quantitative Assessment of Damage in Buried Polyethylene Pipe Subjected to Land Subsidence 

    Source: Journal of Pressure Vessel Technology:;2020:;volume( 143 ):;issue: 004:;page 041801-1
    Author(s): Zha, Sixi; Lan, Hui-qing; Zhang, Hao; Wu, Ying
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Traditional investigation of polyethylene pipe (PE) subjected to external loads focused only on the study of mechanical behavior or the failure judgment, but could not predict the damage evolution process. In this paper, ...
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    Strength Analysis of Buried Polyethylene Pipeline Under Ground Subsidence Considering Multivariate Influence 

    Source: Journal of Pressure Vessel Technology:;2020:;volume( 142 ):;issue: 004
    Author(s): Wu, Ying; Zhang, Yuan; Zha, Sixi; Qin, Guojin
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Due to the combined effects of natural and human factors, the ground subsidence is aggravated, which brings potential hazards to the normal operation of buried polyethylene (PE) pipelines. A variety of variables influences ...
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    Mechanical Behavior of Buried HDPE Pipe Subjected to Surface Load: Constitutive Modeling and Finite Element Method Simulations 

    Source: Journal of Pressure Vessel Technology:;2024:;volume( 146 ):;issue: 005:;page 51002-1
    Author(s): Wang, Junqiang; Zha, Sixi; Wang, Yang; Zhang, Ping; Lan, Hui-Qing
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: In this paper, the Sherwood–Frost constitutive model was first used to simulate the stress response and deformation process of buried high-density polyethylene (HDPE) pipe subjected to surface load, where parameters in ...
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    Defect Detection of Polyethylene Gas Pipeline Based on Convolutional Neural Networks and Image Processing 

    Source: Journal of Pressure Vessel Technology:;2024:;volume( 146 ):;issue: 006:;page 61801-1
    Author(s): Wang, Jun-qiang; Zha, Sixi; Sun, Jia-chen; Wang, Yang; Lan, Hui-qing
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: In this paper, a method based on image recognition was proposed to detect the defects of polyethylene (PE) gas pipeline, especially the deformation due to the indentation. First, the pipeline -detection VGG (PD-VGG) model ...
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    DSpace software copyright © 2002-2015  DuraSpace
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