Article(id=1223278135311991064, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1223278131956551924, articleNumber=null, orderNo=null, doi=10.20040/j.cnki.1000-7709.2023.20230451, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1679587200000, receivedDateStr=2023-03-24, revisedDate=1683907200000, revisedDateStr=2023-05-13, acceptedDate=null, acceptedDateStr=null, onlineDate=1769581834866, onlineDateStr=2026-01-28, pubDate=1698163200000, pubDateStr=2023-10-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1769581834866, onlineIssueDateStr=2026-01-28, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1769581834866, creator=13701087609, updateTime=1769581834866, updator=13701087609, issue=Issue{id=1223278131956551924, tenantId=1146029695717560320, journalId=1205116964453384197, year='2023', volume='41', issue='10', pageStart='1', pageEnd='228', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1769581834067, creator=13701087609, updateTime=1769584342407, updator=13701087609, preIssue=null, nextIssue=null, ext={EN=IssueExt(id=1223288652869030422, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1223278131956551924, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1223288652869030423, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1223278131956551924, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null}, startPage=91, endPage=95, ext={EN=ArticleExt(id=1223278137744687600, articleId=1223278135311991064, tenantId=1146029695717560320, journalId=1205116964453384197, language=EN, title=Stability Analysis of a Dam Based on Image Recognition and AutoBank, columnId=1222925280734335368, journalTitle=Water Resources and Power, columnName=DAM SAFETY AND MONITORING, runingTitle=null, highlight=null, articleAbstract=

The total leakage amount behind a certain reservoir dam reaches 16.7 L/s, with the seepage points being the drainage body at the dam foot and the low culvert, but the anti-seepage body inside the dam is weak to slightly permeable and tightly cemented. The image recognition results reveal that the dam body outside the low culvert pipe has formed a penetrating leakage channel. This article selects the centerline of the dam body and the cross-section of the culvert pipe position as example. Based on measured data such as the physical parameters of the rock and soil of the dam body and the leakage amount behind the dam, AutoBank modeling was used to calculate and modify the stability of the dam, while simulating the stability of the reinforced dam. The results show that the water inside the low culvert pipe comes from the water seepage outside the pipe wall, and the leakage points are generally concentrated in the pile number K0+058~0+131.5, mainly in the form of rain or jet, while other sections are in the form of drip or no seepage. The dam body within 2.9 m outside the culvert pipe has formed a penetrating leakage channel, which is the main cause of drainage and culvert pipe leakage. The central section of the dam is in a state of seepage and anti-sliding stability under the conditions of 176.50 m water level, normal water storage level, and check flood level. The cross-section of the dam culvert pipe location undergoes seepage failure under various working conditions, and the calculated total leakage is in good agreement with the on-site measured value; Except for the anti-sliding instability of the upstream dam slope under the condition of sudden water level drop, the dam slopes under all other conditions are stable. After reinforcement, the dam is in seepage and anti-sliding stability under all working conditions.

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某水库坝后汇总渗漏量达16.7 L/s，出渗点为坝脚排水体和低涵，但坝内防渗体为弱—微透水性且胶结密实，而影像识别结果揭露低涵管身外坝体已形成贯穿性渗漏通道。对此，选取坝体中心线及涵管位置断面，基于坝体岩土物理参数和坝后渗漏量等实测资料，利用AutoBank建模对大坝稳定性进行计算并修正参数，同时模拟加固后大坝稳定性。结果表明，低涵管内水均来自管壁外水内渗，且渗漏点普遍集中在桩号K0+058~0+131.5，以淋雨状或射流状为主，其他段为点滴状渗水或无渗水，涵管外2.9 m内坝体已形成贯穿性渗漏通道，为排水体及涵管渗漏的主因；大坝中心断面在176.50 m水位、正常蓄水位、校核洪水位工况下均处于渗透、抗滑稳定状态；大坝涵管位置断面在各工况下均发生渗透破坏，计算总渗漏量与现场实测值较相符；除水位骤降工况下上游坝坡抗滑失稳外，其余工况坝坡均稳定；加固后大坝各工况下均处于渗透、抗滑稳定状态。

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姚纪华（1986-），男，硕士、工程师，研究方向为水工环地质，E-mail：yjh860716@163.com

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姚纪华（1986-），男，硕士、工程师，研究方向为水工环地质，E-mail：yjh860716@163.com

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