|本期目录/Table of Contents|

[1]刘鹏,孙明源,李玉星,等.横向滑坡下埋地管道力学响应规律及神经网络预测研究*[J].中国安全生产科学技术,2023,19(6):105-111.[doi:10.11731/j.issn.1673-193x.2023.06.015]
　LIU Peng,SUN Mingyuan,LI Yuxing,et al.Study on mechanical response law and neural network prediction of buried pipeline under transverse landslide[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2023,19(6):105-111.[doi:10.11731/j.issn.1673-193x.2023.06.015]
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横向滑坡下埋地管道力学响应规律及神经网络预测研究*
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《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]

卷:
19
期数:
2023年6期
页码:
105-111
栏目:
职业安全卫生管理与技术
出版日期:
2023-06-30

文章信息/Info

Title:
Study on mechanical response law and neural network prediction of buried pipeline under transverse landslide
文章编号:
1673-193X(2023)-06-0105-07
作者:
刘鹏; 孙明源; 李玉星; 范佳林; 黄维和 ; 胡其会
(1.中国石油大学（华东） 山东省油气储运安全重点实验室，山东 青岛 266580；
2.中石化安全工程研究院有限公司，山东 青岛 266000；
3.中国石油天然气股份有限公司，北京 100007)
Author(s):
LIU Peng;  SUN Mingyuan;  LI Yuxing;  FAN Jialin;  HUANG Weihe;  HU Qihui
(1.Shandong Key Laboratory of Oil & Gas Storage and Transportation Safety,China University of Petroleum,Qingdao Shandong 266580,China;
2.SINOPEC Research Institute of Safety Engineering Co.,Ltd.,Qingdao Shandong 266000,China;
3.PetroChina Company Limited,Beijing 100007,China)
关键词:
横向滑坡; 埋地管道; 数值模拟; BP神经网络
Keywords:
transverse landslide;  buried pipeline;  numerical simulation;  BP neural network
分类号:
X947
DOI:
10.11731/j.issn.1673-193x.2023.06.015
文献标志码:
A
摘要:
为研究横向滑坡作用下埋地管道的力学响应，采用自主搭建的埋地管道滑坡试验装置开展不同滑坡范围下的横向滑坡埋地管道力学特性试验，并建立工程尺度的埋地管道滑坡模型，通过改变相关参数开展数值模拟。研究结果表明：大范围横向滑坡下，管道最大应力位于管道中部附近，随滑坡范围增加，管道最大应力位置逐渐远离管道中部；通过BP神经网络预测模型得到横向滑坡下埋地管道最大位移、最大轴向拉应变和最大轴向压应变。研究结果可为快速评估横向滑坡下埋地管道安全提供指导。
Abstract:
In order to study the mechanical response of buried pipelines under the effect of transverse landslide,a buried pipeline landslide test device was built independently to carry out the mechanical property tests of buried pipelines under transverse landslide with different landslide ranges.Besides,an engineering-scale buried pipeline landslide model was established,and the numerical simulation was carried out by varying the related parameters.The results show that the maximum stress of the pipeline is located near the middle of pipeline under a wide range transverse landslide,and the location of the maximum stress of pipeline gradually moves away from the middle of pipeline with the increase of landslide range.The maximum displacement,maximum axial tensile strain and maximum axial compressive strain prediction models for buried pipeline under transverse landslide are obtained through BP neural network training model.The results can provide guidance for rapid evaluation of buried pipeline safety under transverse landslide.

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备注/Memo

备注/Memo:
收稿日期： 2022-12-23
* 基金项目： 国家重点研发计划项目（2021YFA1000100，2021YFA1000103）
作者简介： 刘鹏，博士研究生，主要研究方向为天然气管道安全。
通信作者： 李玉星，博士，教授，主要研究方向为油气长距离管输技术。
更新日期/Last Update: 2023-07-09