Article(id=1223204288147604344, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1223204286050452333, articleNumber=null, orderNo=null, doi=10.20040/j.cnki.1000-7709.2023.20221950, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1663516800000, receivedDateStr=2022-09-19, revisedDate=1667059200000, revisedDateStr=2022-10-30, acceptedDate=null, acceptedDateStr=null, onlineDate=1769564228331, onlineDateStr=2026-01-28, pubDate=1684944000000, pubDateStr=2023-05-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1769564228331, onlineIssueDateStr=2026-01-28, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1769564228331, creator=13701087609, updateTime=1769564228331, updator=13701087609, issue=Issue{id=1223204286050452333, tenantId=1146029695717560320, journalId=1205116964453384197, year='2023', volume='41', issue='5', 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=1769564227831, creator=13701087609, updateTime=1769567742010, updator=13701087609, preIssue=null, nextIssue=null, ext={EN=IssueExt(id=1223219026013323264, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1223204286050452333, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1223219026013323265, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1223204286050452333, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null}, startPage=105, endPage=108, ext={EN=ArticleExt(id=1223204289204568961, articleId=1223204288147604344, tenantId=1146029695717560320, journalId=1205116964453384197, language=EN, title=Numerical Feedback and Layout Optimization of Air Entraining Facilities of Dragon-drop-tail-type Flood Discharge Tunnel, columnId=1222925283779400191, journalTitle=Water Resources and Power, columnName=WATER CONSERVANCY AND HYDROPOWER ENGINEERING, runingTitle=null, highlight=null, articleAbstract=

In order to verify and optimize the “dragon-drop-tail” layout plan of the No. 1 flood discharge tunnel in the expansion project of the Chentianhe Reservoir, a numerical calculation model for the discharge was established. The numerical feedback of cavity backwater behind the airfoil flip bucket of indoor experiment was made use of to calculate the rationality of the numerical model. The optimal objective function of the shape of the airfoil flip bucket was identified based on the principle of safety and economy. The feedback model was then used to optimize the layout of aeration devices. The research shows that results of the simulation which adopts the FAVOR and Tru-VOF methods of structured rectangular grids, the RNG κ-ε turbulence model and the numerical model of fine grid are in line with indoor experiment results in terms of cavity shape and length. The optimal values of the bucket angle α and slope rate of the bottom slope behind the airfoil flip bucket θ of the No.1 flood discharge tunnel are 10% and 20%, respectively.

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为验证和优化涔天河水库扩建工程^#1泄洪洞“龙落尾”布置方案，首先建立^#1泄洪洞泄流数值计算模型，然后根据室内试验翼型掺气坎后的空腔回水结果反馈数值计算模型的合理性，进而基于水力安全和经济综合原则定义了掺气坎体型的优化目标函数，最后利用反馈数值计算模型研究^#1泄洪洞掺气设施优化布置。研究表明，采用结构化矩形网格的FAVOR方法、VOF方法、RNG κ-ε湍流模型及精细网格的数值模型进行模拟，其计算结果与室内试验结果在空腔长度和空腔形态上的规律较为接近；^#1泄洪洞翼型坎挑坎角度α和坎后底坡坡率θ最优值分别为10%、20%。

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王廷（1983-），男，博士，研究方向为大坝安全与稳定，E-mail：jerry828045@163.com

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王廷（1983-），男，博士，研究方向为大坝安全与稳定，E-mail：jerry828045@163.com

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