Article(id=1223193056237699821, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1223193053830169317, articleNumber=null, orderNo=null, doi=10.20040/j.cnki.1000-7709.2023.20221258, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1655395200000, receivedDateStr=2022-06-17, revisedDate=1658073600000, revisedDateStr=2022-07-18, acceptedDate=null, acceptedDateStr=null, onlineDate=1769561550434, onlineDateStr=2026-01-28, pubDate=1674576000000, pubDateStr=2023-01-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1769561550434, onlineIssueDateStr=2026-01-28, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1769561550434, creator=13701087609, updateTime=1769561550434, updator=13701087609, issue=Issue{id=1223193053830169317, tenantId=1146029695717560320, journalId=1205116964453384197, year='2023', volume='41', issue='1', pageStart='1', pageEnd='220', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1769561549861, creator=13701087609, updateTime=1769567790701, updator=13701087609, preIssue=null, nextIssue=null, ext={EN=IssueExt(id=1223219229885857794, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1223193053830169317, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1223219229885857795, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1223193053830169317, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null}, startPage=116, endPage=119, ext={EN=ArticleExt(id=1223193057424687900, articleId=1223193056237699821, tenantId=1146029695717560320, journalId=1205116964453384197, language=EN, title=Stud 248-257. y on Transient Leakage Detection Method and Experiment for Water Supply Pipelines, columnId=1222925283779400191, journalTitle=Water Resources and Power, columnName=WATER CONSERVANCY AND HYDROPOWER ENGINEERING, runingTitle=null, highlight=null, articleAbstract=

To analyze the impact of unsteady state friction and tube wall viscoelastic on leakage, based on the energy conservation theory of the transient flow in a closed pipeline, the leakage numerical model for the hydraulic transient pipeline was constructed considering the dynamic term in the unstable friction and the elastic viscosity effect of the pipe wall. The transient flow reverse analysis method (ITA) was improved. As a case study, Xujiaya Reservoir Irrigation District in Shandong Province was selected to carry out field experiments. The leakage process was assumed to be quasi-normal distribution. Based on the field water flow transient test data, pipeline leakage location and leakage amount were simulated. The simulated error was calculated by the ITA method. When a single point leakage occurs in the experimental pipeline, the average location error of the simulated leakage is 1.44%, and the maximum error is 6.89%, the average area error of the simulated leakage hole is 3.85%, and the maximum error is 14.77%. When multipoint leakage occurs in the experimental pipeline, the average error of the simulated leakage location is 1.31% and the maximum error is 3.91%; the average area error of the simulated leakage hole is 1.74% and the maximum error is 4.35%. The study results could provide theoretical and technical support for the leakage detection of water pipelines.

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为分析非稳态摩擦、管壁黏弹性等因素对泄漏的动态影响,首先根据密闭管道瞬态水流能量守恒理论,考虑非稳定摩擦中的动态项和管壁的黏弹性效应,构建水力瞬态管网泄漏数值模型,改进瞬态水流逆分析法(ITA),在山东省许家崖水库灌区开展野外试验,假定泄漏过程呈准正态分布,基于现场水流瞬态试验数据,模拟管线泄漏位置和泄漏量,用ITA方法计算模拟误差。结果表明,当试验管线发生单点泄漏时,模拟计算泄漏位置平均误差为1.44%,最大误差为6.89%,泄漏孔口面积平均误差为3.85%,最大误差为14.77%,当试验管线发生多点泄漏时,计算泄漏位置平均误差为1.31%,最大误差为3.91%;泄漏孔口面积平均误差为1.74%,最大误差为4.35%。研究结果可为供水管网泄漏检测提供理论和技术支持。

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杨建喜(1985-),男,硕士、高级工程师,研究方向为水利工程建设与管理,E-mail:

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杨建喜(1985-),男,硕士、高级工程师,研究方向为水利工程建设与管理,E-mail:

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杨建喜(1985-),男,硕士、高级工程师,研究方向为水利工程建设与管理,E-mail:

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输水管道瞬态泄漏检测数值方法与试验研究
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杨建喜 1 , 梁焕华 2 , 李晨 1 , 李兆恒 3 , 余炎威 4 , 冉树升 4
水电能源科学 | 水利水电工程 2023,41(1): 116-119
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水电能源科学 | 水利水电工程 2023, 41(1): 116-119
输水管道瞬态泄漏检测数值方法与试验研究
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杨建喜1 , 梁焕华2, 李晨1, 李兆恒3, 余炎威4, 冉树升4
作者信息
  • 1.广东粤海珠三角供水有限公司,广东 广州 511458
  • 2.澳门城市大学,澳门 999078
  • 3.广东省水利水电科学研究院,广东 广州 510635
  • 4.深圳市水务工程检测有限公司,广东 深圳 510000
  • 杨建喜(1985-),男,硕士、高级工程师,研究方向为水利工程建设与管理,E-mail:

Stud 248-257. y on Transient Leakage Detection Method and Experiment for Water Supply Pipelines
Jian-xi YANG1 , Huan-hua LIANG2, Chen LI1, Zhao-heng LI3, Yan-wei YU4, Shu-sheng RAN4
Affiliations
  • 1.Guangdong Yuehai Pearl River Delta Water Supply Co., Ltd., Guangzhou 511458, China
  • 2.City University of Macau, Macau 999078, China
  • 3.Guangdong Research Institute of Water Resources and Hydropower, Guangzhou 510635, China
  • 4.Shenzhen Water Engineering Testing Co., Ltd., Shenzhen 510000, China
出版时间: 2023-01-25 doi: 10.20040/j.cnki.1000-7709.2023.20221258
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为分析非稳态摩擦、管壁黏弹性等因素对泄漏的动态影响,首先根据密闭管道瞬态水流能量守恒理论,考虑非稳定摩擦中的动态项和管壁的黏弹性效应,构建水力瞬态管网泄漏数值模型,改进瞬态水流逆分析法(ITA),在山东省许家崖水库灌区开展野外试验,假定泄漏过程呈准正态分布,基于现场水流瞬态试验数据,模拟管线泄漏位置和泄漏量,用ITA方法计算模拟误差。结果表明,当试验管线发生单点泄漏时,模拟计算泄漏位置平均误差为1.44%,最大误差为6.89%,泄漏孔口面积平均误差为3.85%,最大误差为14.77%,当试验管线发生多点泄漏时,计算泄漏位置平均误差为1.31%,最大误差为3.91%;泄漏孔口面积平均误差为1.74%,最大误差为4.35%。研究结果可为供水管网泄漏检测提供理论和技术支持。

供水管网  /  瞬态水流  /  泄漏检测  /  ITA

To analyze the impact of unsteady state friction and tube wall viscoelastic on leakage, based on the energy conservation theory of the transient flow in a closed pipeline, the leakage numerical model for the hydraulic transient pipeline was constructed considering the dynamic term in the unstable friction and the elastic viscosity effect of the pipe wall. The transient flow reverse analysis method (ITA) was improved. As a case study, Xujiaya Reservoir Irrigation District in Shandong Province was selected to carry out field experiments. The leakage process was assumed to be quasi-normal distribution. Based on the field water flow transient test data, pipeline leakage location and leakage amount were simulated. The simulated error was calculated by the ITA method. When a single point leakage occurs in the experimental pipeline, the average location error of the simulated leakage is 1.44%, and the maximum error is 6.89%, the average area error of the simulated leakage hole is 3.85%, and the maximum error is 14.77%. When multipoint leakage occurs in the experimental pipeline, the average error of the simulated leakage location is 1.31% and the maximum error is 3.91%; the average area error of the simulated leakage hole is 1.74% and the maximum error is 4.35%. The study results could provide theoretical and technical support for the leakage detection of water pipelines.

water supply pipelines  /  transient flow  /  leakage detection  /  ITA
杨建喜, 梁焕华, 李晨, 李兆恒, 余炎威, 冉树升. 输水管道瞬态泄漏检测数值方法与试验研究. 水电能源科学, 2023 , 41 (1) : 116 -119 . DOI: 10.20040/j.cnki.1000-7709.2023.20221258
Jian-xi YANG, Huan-hua LIANG, Chen LI, Zhao-heng LI, Yan-wei YU, Shu-sheng RAN. Stud 248-257. y on Transient Leakage Detection Method and Experiment for Water Supply Pipelines[J]. Water Resources and Power, 2023 , 41 (1) : 116 -119 . DOI: 10.20040/j.cnki.1000-7709.2023.20221258
  • 国家重点研发计划(2016YFC0401809)
2023年第41卷第1期
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doi: 10.20040/j.cnki.1000-7709.2023.20221258
  • 接收时间:2022-06-17
  • 首发时间:2026-01-28
  • 出版时间:2023-01-25
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  • 收稿日期:2022-06-17
  • 修回日期:2022-07-18
基金
国家重点研发计划(2016YFC0401809)
作者信息
    1.广东粤海珠三角供水有限公司,广东 广州 511458
    2.澳门城市大学,澳门 999078
    3.广东省水利水电科学研究院,广东 广州 510635
    4.深圳市水务工程检测有限公司,广东 深圳 510000
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小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
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