基于改进SPH模型的溃坝洪水演进模拟方法

TV122.4; 溃坝洪水演进模拟的准确性是制约水库洪水预演有效性的关键.基于光滑粒子流体动力学(Smoothed Particle Hydrodynamics,SPH)方法提出了适用于溃坝洪水演进分析的数值模拟方法.通过设置溃口粒子与粒子库,基于黎曼不变量对SPH粒子状态进行修正,构建施加边界条件的改进SPH溃坝洪水演进模型,将SPH瞬时全溃整体模型转换为考虑溃口水流变化的入流边界模型,实现SPH方法与溃口计算模型的耦合.以Malpasset溃坝事件为例,检验了该模型计算溃坝洪水的精度,结果表明该模型精度相对较高,与实测值吻合较好;应用该模型模拟了某水库溃坝洪水演进预演过程,评估其对下游输水...

Full description

Saved in:
Bibliographic Details
Published in水科学进展 Vol. 34; no. 5; pp. 744 - 752
Main Authors 李同春, 贾玉彤, 李宏恩, 郑斌, 周宁, 齐慧君
Format Journal Article
LanguageChinese
Published 水利部水库大坝安全重点实验室,江苏 南京 210029 2023
河海大学水利水电学院,江苏 南京 210098%南京水利科学研究院,江苏 南京 210029
Subjects
溃坝洪水演进
SPH
溃口边界
breach boundary
dam break flood propagation
Riemann invariants
黎曼不变量
Online AccessGet full text
ISSN1001-6791
DOI10.14042/j.cnki.32.1309.2023.05.009

Cover

Abstract TV122.4; 溃坝洪水演进模拟的准确性是制约水库洪水预演有效性的关键.基于光滑粒子流体动力学(Smoothed Particle Hydrodynamics,SPH)方法提出了适用于溃坝洪水演进分析的数值模拟方法.通过设置溃口粒子与粒子库,基于黎曼不变量对SPH粒子状态进行修正,构建施加边界条件的改进SPH溃坝洪水演进模型,将SPH瞬时全溃整体模型转换为考虑溃口水流变化的入流边界模型,实现SPH方法与溃口计算模型的耦合.以Malpasset溃坝事件为例,检验了该模型计算溃坝洪水的精度,结果表明该模型精度相对较高,与实测值吻合较好;应用该模型模拟了某水库溃坝洪水演进预演过程,评估其对下游输水干渠及交叉建筑物排水倒虹吸的洪水冲击风险,结果表明在上游水库遭遇超标准洪水漫顶溃坝工况下,洪水演进至排水倒虹吸处的最大洪水位未超过校核洪水位.改进SPH模型精度高,可靠性强,与溃口计算模型耦合性好,可作为溃坝洪水演进模拟的通用手段之一.
AbstractList TV122.4; 溃坝洪水演进模拟的准确性是制约水库洪水预演有效性的关键.基于光滑粒子流体动力学(Smoothed Particle Hydrodynamics,SPH)方法提出了适用于溃坝洪水演进分析的数值模拟方法.通过设置溃口粒子与粒子库,基于黎曼不变量对SPH粒子状态进行修正,构建施加边界条件的改进SPH溃坝洪水演进模型,将SPH瞬时全溃整体模型转换为考虑溃口水流变化的入流边界模型,实现SPH方法与溃口计算模型的耦合.以Malpasset溃坝事件为例,检验了该模型计算溃坝洪水的精度,结果表明该模型精度相对较高,与实测值吻合较好;应用该模型模拟了某水库溃坝洪水演进预演过程,评估其对下游输水干渠及交叉建筑物排水倒虹吸的洪水冲击风险,结果表明在上游水库遭遇超标准洪水漫顶溃坝工况下,洪水演进至排水倒虹吸处的最大洪水位未超过校核洪水位.改进SPH模型精度高,可靠性强,与溃口计算模型耦合性好,可作为溃坝洪水演进模拟的通用手段之一.
Abstract_FL The accuracy of dam break flood propagation simulations is pivotal for the effectiveness of reservoir flood predictions.This study introduces a numerical simulation method,specifically tailored for dam break flood propagation analysis,using the smooth particle hydrodynamics(SPH)method.Through the establishment of breach particles and a particle library,the particle state was adjusted based on Riemannian invariants.Consequently,an improved SPH dam break propagation model with specific boundary conditions was developed.The spatial initialization of particles in the SPH model was transitioned to boundary initialization,facilitating the integration of the breach flow process with the SPH method at the breach boundary.Using the Malpasset dam failure as a case study,the model's accuracy in simulating dam failure floods was examined.The outcomes indicated that the model's precision was commendable,aligning well with recorded measurements.Additionally,when the model was employed to simulate the flood propagation forecast of a particular reservoir dam failure,it was used to determine the submersion depth and flood process experienced by downstream channels.The findings revealed that when the upstream reservoir experiences extraordinary flood and overflows the dam,the peak flood elevation at the channel's inverted siphon remains below the check flood level.The improved SPH model exhibited high accuracy,robust reliability,and efficient integration with the breach calculation model,making it a viable method for dam break flood propagation.
Author 李同春
贾玉彤
郑斌
周宁
齐慧君
李宏恩
AuthorAffiliation 河海大学水利水电学院,江苏 南京 210098%南京水利科学研究院,江苏 南京 210029;水利部水库大坝安全重点实验室,江苏 南京 210029
AuthorAffiliation_xml – name: 河海大学水利水电学院,江苏 南京 210098%南京水利科学研究院,江苏 南京 210029;水利部水库大坝安全重点实验室,江苏 南京 210029
Author_FL ZHOU Ning
ZHENG Bin
LI Tongchun
QI Huijun
JIA Yutong
LI Hongen
Author_FL_xml – sequence: 1
  fullname: LI Tongchun
– sequence: 2
  fullname: JIA Yutong
– sequence: 3
  fullname: LI Hongen
– sequence: 4
  fullname: ZHENG Bin
– sequence: 5
  fullname: ZHOU Ning
– sequence: 6
  fullname: QI Huijun
Author_xml – sequence: 1
  fullname: 李同春
– sequence: 2
  fullname: 贾玉彤
– sequence: 3
  fullname: 李宏恩
– sequence: 4
  fullname: 郑斌
– sequence: 5
  fullname: 周宁
– sequence: 6
  fullname: 齐慧君
BookMark eNotj71KA0EURqeIYIx5CsFux3vv7OxkSglqhICCWof9mZFsZAIuothqF7CKFkoMdmIlmCaL4MuY0cdwRauvOPAdzgqruaEzjK0hcAwhpI2cp27Q54I4CtCcgAQHyQF0jdURAINIaVxmzaLoJwBEUmkSdRYtpuVneePH8--Ph4P9jn9-WjyOvu6vfXm1mEz87MW_zvz7uKIV8qOpv5v7t9tVtmTjk8I0_7fBjra3DtudoLu3s9ve7AYFAuogTIVqoZZECKkIIyUiq1KZJXFkMxBJBonKYgNKpwTaKEtWGmkyKa3BFpFosPW_3_PY2dgd9_Lh2amrjL1icJFf_maCrCLFD8XaXdY
ClassificationCodes TV122.4
ContentType Journal Article
Copyright Copyright © Wanfang Data Co. Ltd. All Rights Reserved.
Copyright_xml – notice: Copyright © Wanfang Data Co. Ltd. All Rights Reserved.
DBID 2B.
4A8
92I
93N
PSX
TCJ
DOI 10.14042/j.cnki.32.1309.2023.05.009
DatabaseName Wanfang Data Journals - Hong Kong
WANFANG Data Centre
Wanfang Data Journals
万方数据期刊 - 香港版
China Online Journals (COJ)
China Online Journals (COJ)
DatabaseTitleList
DeliveryMethod fulltext_linktorsrc
Discipline Geography
DocumentTitle_FL Simulation method of dam break flood propagation based on improved SPH model
EndPage 752
ExternalDocumentID skxjz202305009
GroupedDBID -01
2B.
4A8
92H
92I
93N
ABJNI
ACGFS
ALMA_UNASSIGNED_HOLDINGS
CCEZO
CCVFK
CW9
PSX
TCJ
TGT
U1G
U5M
UY8
ID FETCH-LOGICAL-s1019-4c3781952210c346736f7c5dba6fd03bd0b7dae079c209e7f2f5e5ed55fe18223
ISSN 1001-6791
IngestDate Thu May 29 04:03:15 EDT 2025
IsPeerReviewed true
IsScholarly true
Issue 5
Keywords 溃坝洪水演进
SPH
溃口边界
breach boundary
dam break flood propagation
Riemann invariants
黎曼不变量
Language Chinese
LinkModel OpenURL
MergedId FETCHMERGED-LOGICAL-s1019-4c3781952210c346736f7c5dba6fd03bd0b7dae079c209e7f2f5e5ed55fe18223
PageCount 9
ParticipantIDs wanfang_journals_skxjz202305009
PublicationCentury 2000
PublicationDate 2023
PublicationDateYYYYMMDD 2023-01-01
PublicationDate_xml – year: 2023
  text: 2023
PublicationDecade 2020
PublicationTitle 水科学进展
PublicationTitle_FL Advances in Water Science
PublicationYear 2023
Publisher 水利部水库大坝安全重点实验室,江苏 南京 210029
河海大学水利水电学院,江苏 南京 210098%南京水利科学研究院,江苏 南京 210029
Publisher_xml – name: 水利部水库大坝安全重点实验室,江苏 南京 210029
– name: 河海大学水利水电学院,江苏 南京 210098%南京水利科学研究院,江苏 南京 210029
SSID ssib002257923
ssib023167946
ssj0039382
ssib025872836
ssib051373317
ssib000862358
Score 2.388764
Snippet TV122.4; 溃坝洪水演进模拟的准确性是制约水库洪水预演有效性的关键.基于光滑粒子流体动力学(Smoothed Particle...
SourceID wanfang
SourceType Aggregation Database
StartPage 744
Title 基于改进SPH模型的溃坝洪水演进模拟方法
URI https://d.wanfangdata.com.cn/periodical/skxjz202305009
Volume 34
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV3LaxQxGA-1BfUiPvFtQXMqqzN5TJJjZnfWIiiCLfRW5qm1sIJtQXrVW8FT9aDU4k08CfbSIvjP2NE_w-_LzO6mWPEBS8gmX375HjPz5R1CbhgG_aq8qvBCk6KDmx87WRkVnbCISqU59KBT7CjevRfNzos7C3Jh4siGt2ppbTW7ma8fuq_kf6wKaWBX3CX7D5YdgUICxMG-EIKFIfwrG9NEUtOnsaWJwFAnNImogbihiaZxn5r4wf1ZTLSa2tDRJ1THNFHUAL3ALCzIXVYPf5giqLUuEmAcI12EHWJ6gBGiAQ9Yb-TqhZDT5krLYavXg1LUQtWOE9ujNvIwJY3DYUF4BBxkz8kErAVUd10KVOuRaASNE8QFQm0cCuCKQ1EskDhWdUitGZMYVIAJWyF01x8KafYpu8fWE0NSDYyYtijows8ChRqnUCtQ2rFmGw4ck1q6UlAcOO85_plTn6MBI0EW2ACFdikAxZwCUEd9FBz0rvszDgvQVfsI2O4Mw_NujedtcD1bpJrryobuqB3bXfIn_J1vUc1BmW0zRTUH__7iAQV8hZ0LzAfLSzc5w-u-cUMW4-6E2sCMHf9oOebK8rPH60gSSLcZdoqpKGKTZMrGvbh_oPfLvUl0cAX-6ZMMD1Uw49EFJrWCxuvovww5XhA6Gg_hhutmMUKrhaPk-lCCW7_n3-2uG1Tp4KHXEJw7SU60Pbhp27yOp8jE-qPT5Njtsj37_QyJ9rf3vu29rDd3f3x9C69f_eH9_ruN729e1HvP97e26p2P9aed-ssm5EJWvbFdv96tP786S-b7yVx3ttNeT9JZAT9mOiLnCmehGZg15wIXSFYql0WWRlUR8KwIMlWkZaBMzgJTqopVspRlIWVVQq-e8XNkcvBkUJ4n0ykLs1JkRoVCCl0WJqx4oFNoKeai4ml6gVxrZV5sPz8riweNdvGPFJfIcYw3w4eXyeTq07XyCjSoV7OrraF_At2Gk2c
linkProvider EBSCOhost
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=%E5%9F%BA%E4%BA%8E%E6%94%B9%E8%BF%9BSPH%E6%A8%A1%E5%9E%8B%E7%9A%84%E6%BA%83%E5%9D%9D%E6%B4%AA%E6%B0%B4%E6%BC%94%E8%BF%9B%E6%A8%A1%E6%8B%9F%E6%96%B9%E6%B3%95&rft.jtitle=%E6%B0%B4%E7%A7%91%E5%AD%A6%E8%BF%9B%E5%B1%95&rft.au=%E6%9D%8E%E5%90%8C%E6%98%A5&rft.au=%E8%B4%BE%E7%8E%89%E5%BD%A4&rft.au=%E6%9D%8E%E5%AE%8F%E6%81%A9&rft.au=%E9%83%91%E6%96%8C&rft.date=2023&rft.pub=%E6%B0%B4%E5%88%A9%E9%83%A8%E6%B0%B4%E5%BA%93%E5%A4%A7%E5%9D%9D%E5%AE%89%E5%85%A8%E9%87%8D%E7%82%B9%E5%AE%9E%E9%AA%8C%E5%AE%A4%2C%E6%B1%9F%E8%8B%8F+%E5%8D%97%E4%BA%AC+210029&rft.issn=1001-6791&rft.volume=34&rft.issue=5&rft.spage=744&rft.epage=752&rft_id=info:doi/10.14042%2Fj.cnki.32.1309.2023.05.009&rft.externalDocID=skxjz202305009
thumbnail_s http://utb.summon.serialssolutions.com/2.0.0/image/custom?url=http%3A%2F%2Fwww.wanfangdata.com.cn%2Fimages%2FPeriodicalImages%2Fskxjz%2Fskxjz.jpg