土体非均匀变形作用下埋地燃气管道应力的数值分析及预测  

Numerical Analysis and Prediction on Stress of Buried Gas Pipeline Under Uneven Soil Deformation

作　　者：徐锋[1,2] 李英杰 李旋 储成林[3] 黄家波[4] XU Feng;LI Yingjie;LI Xuan;CHU Chenglin;HUANG Jiabo(Taizhou Branch of Jiangsu Special Equipment Safety Supervision and Inspection Institute;Jiangsu Provincial Storage Equipment Quality Supervision and Inspection Center;School of Materials Science and Engineering,Southeast University;Jiangsu Xinghe Group Co.,Ltd)

机构地区：[1]江苏省特种设备安全监督检验研究院泰州分院 [2]江苏省仓储装备质量监督检验中心 [3]东南大学材料科学与工程学院 [4]江苏星河集团有限公司

出　　处：《管道技术与设备》2025年第1期1-8,24,共9页Pipeline Technique and Equipment

基　　金：江苏省特种设备安全监督检验研究院科技计划项目(KJ(Y)2023009)。

摘　　要：文中以埋地高密度聚乙烯(PE)燃气管道作为研究对象,首先基于有限元数值分析方法研究了埋地燃气管道在土体非均匀变形中的应力变化,得到管道在不同土体非均匀变形作用下的最大von Mises应力;然后以所获得的数据作为训练样本,采用BP神经网络训练得到了埋地管道在土体非均匀变形作用下的应力预测模型,结果表明预测准确率为94.47%;最后在此基础上绘制出埋地管道最大von Mises应力与土体非均匀变形量之间的应力云图。The buried high-density polyethylene(PE)gas pipeline was used as the research object in this paper.Based on the finite element numerical analysis method,the stress variation of buried gas pipeline in uneven soil deformation was studied.The maximum von Mises stress of the pipeline under different uneven soil deformation was obtained.Then,the obtained data was used as a training sample,a stress prediction model for buried pipeline under uneven soil deformation was trained and obtained by using BP neural network.The result shows that the prediction accuracy of the model is 94.47%.Finally,a stress cloud map between the maximum von Mises stress of the buried pipeline and the uneven soil deformation was depicted on this basis.

关 键 词：埋地燃气管道 应力 沉降 滑移 BP神经网络 

分 类 号：X937[环境科学与工程—安全科学]