Article(id=1223196814891925760, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1223196803663778281, articleNumber=null, orderNo=null, doi=10.20040/j.cnki.1000-7709.2023.20222593, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1671033600000, receivedDateStr=2022-12-15, revisedDate=1680451200000, revisedDateStr=2023-04-03, acceptedDate=null, acceptedDateStr=null, onlineDate=1769562446568, onlineDateStr=2026-01-28, pubDate=1692892800000, pubDateStr=2023-08-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1769562446568, onlineIssueDateStr=2026-01-28, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1769562446568, creator=13701087609, updateTime=1769562446568, updator=13701087609, issue=Issue{id=1223196803663778281, tenantId=1146029695717560320, journalId=1205116964453384197, year='2023', volume='41', issue='8', pageStart='1', pageEnd='222', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1769562443888, creator=13701087609, updateTime=1769563793740, updator=13701087609, preIssue=null, nextIssue=null, ext={EN=IssueExt(id=1223202465391166440, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1223196803663778281, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1223202465391166441, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1223196803663778281, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null}, startPage=161, endPage=165, ext={EN=ArticleExt(id=1223196816179577150, articleId=1223196814891925760, tenantId=1146029695717560320, journalId=1205116964453384197, language=EN, title=Detection and Quantitative Analysis of Defects of Underwater Concrete Structure Based on Side Scan Sonar, columnId=1222925283779400191, journalTitle=Water Resources and Power, columnName=WATER CONSERVANCY AND HYDROPOWER ENGINEERING, runingTitle=null, highlight=null, articleAbstract=

In order to ensure the service performance of underwater concrete structures, it is urgent to carry out the detections and quantitative analyses of underwater concrete structure defects. Aiming at the common failure forms of underwater concrete structures such as collapse and indentation in practical projects, model plates with different shapes and sizes of indentations were designed and made. Using the side scan sonar carried by the unmanned ship, the defect model plates were scanned at a constant speed in a test pool. The acoustic characteristics of the defect areas were summarized by extracting the echo intensity waveforms of different shaped defects along the transverse sections. Image segmentation, mathematical morphology processing, and edge feature extraction were carried out on the original sonar image of different sizes of defects to obtain clear and complete contours of the defect areas. Through the interpretation of the longitudinal length of the defect areas, the quantitative analyses of underwater concrete defects were realized, and the identification error ratios were within 10%. It provides a new method for detecting the defects of underwater concrete structures.

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为保证水下混凝土结构的服役性能,亟需探查与量化分析水下混凝土结构缺陷。针对实际工程中常见的水下混凝土结构崩碎、坑陷等破坏形式,设计制作了包含不同形状、不同尺寸的凹陷缺陷模型板,使用无人船搭载侧扫声呐在试验水池中对缺陷模型板进行定速巡航扫测,提取出不同形状缺陷沿横向断面回波强度波形图,归纳得到缺陷区声学特征,对不同尺寸缺陷原始声呐图像进行图像分割、数学形态学处理和边缘特征提取,得到了清晰完整的缺陷区域轮廓,并通过缺陷区域纵向长度解译,实现了水下混凝土缺陷的量化分析,识别误差比在10%以内,为水下混凝土结构缺陷的探查提供了新方法。

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陆俊(1981-),男,博士、教授级高级工程师、博导,研究方向为水工结构病害诊断与修复,E-mail:
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江文浩(1993-),男,硕士研究生,研究方向为水工结构病害诊断与修复,E-mail:

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江文浩(1993-),男,硕士研究生,研究方向为水工结构病害诊断与修复,E-mail:

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江文浩(1993-),男,硕士研究生,研究方向为水工结构病害诊断与修复,E-mail:

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基于侧扫声呐的水下混凝土结构缺陷探查与量化分析
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江文浩 1 , 陆俊 1, 2 , 明攀 1 , 刘妙燕 1
水电能源科学 | 水利水电工程 2023,41(8): 161-165
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水电能源科学 | 水利水电工程 2023, 41(8): 161-165
基于侧扫声呐的水下混凝土结构缺陷探查与量化分析
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江文浩1 , 陆俊1, 2 , 明攀1, 刘妙燕1
作者信息
  • 1.南京水利科学研究院,江苏 南京 210024
  • 2.南京水利科学研究院水文水资源与水利工程科学国家重点实验室,江苏 南京 210098
  • 江文浩(1993-),男,硕士研究生,研究方向为水工结构病害诊断与修复,E-mail:

通讯作者:

陆俊(1981-),男,博士、教授级高级工程师、博导,研究方向为水工结构病害诊断与修复,E-mail:
Detection and Quantitative Analysis of Defects of Underwater Concrete Structure Based on Side Scan Sonar
Wen-hao JIANG1 , Jun LU1, 2 , Pan MING1, Miao-yan LIU1
Affiliations
  • 1.Nanjing Hydraulic Research Institute, Nanjing 210024, China
  • 2.State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Nanjing Hydraulic Research Institute, Nanjing 210098, China
出版时间: 2023-08-25 doi: 10.20040/j.cnki.1000-7709.2023.20222593
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为保证水下混凝土结构的服役性能,亟需探查与量化分析水下混凝土结构缺陷。针对实际工程中常见的水下混凝土结构崩碎、坑陷等破坏形式,设计制作了包含不同形状、不同尺寸的凹陷缺陷模型板,使用无人船搭载侧扫声呐在试验水池中对缺陷模型板进行定速巡航扫测,提取出不同形状缺陷沿横向断面回波强度波形图,归纳得到缺陷区声学特征,对不同尺寸缺陷原始声呐图像进行图像分割、数学形态学处理和边缘特征提取,得到了清晰完整的缺陷区域轮廓,并通过缺陷区域纵向长度解译,实现了水下混凝土缺陷的量化分析,识别误差比在10%以内,为水下混凝土结构缺陷的探查提供了新方法。

水下混凝土结构  /  侧扫声呐  /  缺陷探查  /  图像处理  /  量化分析

In order to ensure the service performance of underwater concrete structures, it is urgent to carry out the detections and quantitative analyses of underwater concrete structure defects. Aiming at the common failure forms of underwater concrete structures such as collapse and indentation in practical projects, model plates with different shapes and sizes of indentations were designed and made. Using the side scan sonar carried by the unmanned ship, the defect model plates were scanned at a constant speed in a test pool. The acoustic characteristics of the defect areas were summarized by extracting the echo intensity waveforms of different shaped defects along the transverse sections. Image segmentation, mathematical morphology processing, and edge feature extraction were carried out on the original sonar image of different sizes of defects to obtain clear and complete contours of the defect areas. Through the interpretation of the longitudinal length of the defect areas, the quantitative analyses of underwater concrete defects were realized, and the identification error ratios were within 10%. It provides a new method for detecting the defects of underwater concrete structures.

underwater concrete structure  /  side scan sonar  /  defect detection  /  image processing  /  quantitative analysis
江文浩, 陆俊, 明攀, 刘妙燕. 基于侧扫声呐的水下混凝土结构缺陷探查与量化分析. 水电能源科学, 2023 , 41 (8) : 161 -165 . DOI: 10.20040/j.cnki.1000-7709.2023.20222593
Wen-hao JIANG, Jun LU, Pan MING, Miao-yan LIU. Detection and Quantitative Analysis of Defects of Underwater Concrete Structure Based on Side Scan Sonar[J]. Water Resources and Power, 2023 , 41 (8) : 161 -165 . DOI: 10.20040/j.cnki.1000-7709.2023.20222593
  • 国家重点研发计划(2021YFB2600700; SQ2020YFF0426367)
  • 国家自然科学基金项目(52171272)
2023年第41卷第8期
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doi: 10.20040/j.cnki.1000-7709.2023.20222593
  • 接收时间:2022-12-15
  • 首发时间:2026-01-28
  • 出版时间:2023-08-25
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出版历史
  • 收稿日期:2022-12-15
  • 修回日期:2023-04-03
基金
国家重点研发计划(2021YFB2600700; SQ2020YFF0426367)
国家自然科学基金项目(52171272)
作者信息
    1.南京水利科学研究院,江苏 南京 210024
    2.南京水利科学研究院水文水资源与水利工程科学国家重点实验室,江苏 南京 210098

通讯作者:

陆俊(1981-),男,博士、教授级高级工程师、博导,研究方向为水工结构病害诊断与修复,E-mail:
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2种不同金属材料的力学参数

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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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