Abnormality monitoring model of cracks in concrete dams
The abnormality monitoring model (AMM) of cracks in concrete dams is established through integrating safety monitoring theories with abnormality diagnosis methods of cracks. In addition, emphasis is placed on the influence of crack depth on crack mouth opening displacement (CMOD). A linear hypothesi...
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Veröffentlicht in: | Science China Technological Sciences 2011-07, Vol.54 (7), p.1914-1922 |
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container_title | Science China Technological Sciences |
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creator | Bao, TengFei Qin, Dong Zhou, XiWu Wu, GuiFen |
description | The abnormality monitoring model (AMM) of cracks in concrete dams is established through integrating safety monitoring theories with abnormality diagnosis methods of cracks. In addition, emphasis is placed on the influence of crack depth on crack mouth opening displacement (CMOD). A linear hypothesis is proposed for the propagation process of cracks in concrete based on the fictitious crack model (FCM). Abnormality points are detected through testing methods of dynamical structure mutation and statistical model mutation. The solution of AMM is transformed into a global optimization problem, which is solved by the particle swarm optimization (PSO) method. Therefore, the AMM of cracks in concrete dams is established and solved completely. In the end of the paper, the proposed model is validated by a typical crack at the 105 m elevation of a concrete gravity arch dam. |
doi_str_mv | 10.1007/s11431-011-4332-1 |
format | Article |
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In addition, emphasis is placed on the influence of crack depth on crack mouth opening displacement (CMOD). A linear hypothesis is proposed for the propagation process of cracks in concrete based on the fictitious crack model (FCM). Abnormality points are detected through testing methods of dynamical structure mutation and statistical model mutation. The solution of AMM is transformed into a global optimization problem, which is solved by the particle swarm optimization (PSO) method. Therefore, the AMM of cracks in concrete dams is established and solved completely. In the end of the paper, the proposed model is validated by a typical crack at the 105 m elevation of a concrete gravity arch dam.</description><identifier>ISSN: 1674-7321</identifier><identifier>EISSN: 1869-1900</identifier><identifier>EISSN: 1862-281X</identifier><identifier>DOI: 10.1007/s11431-011-4332-1</identifier><language>eng</language><publisher>Heidelberg: SP Science China Press</publisher><subject>Abnormalities ; Concretes ; Cracks ; Dams ; Engineering ; Mathematical models ; Monitoring ; Mutations ; Optimization ; 基因突变检测 ; 异常点 ; 混凝土大坝 ; 混凝土裂缝 ; 监测模型 ; 粒子群优化 ; 虚拟裂缝模型 ; 裂纹深度</subject><ispartof>Science China Technological Sciences, 2011-07, Vol.54 (7), p.1914-1922</ispartof><rights>Science China Press and Springer-Verlag Berlin Heidelberg 2011</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c346t-e8111db74cf141c5757724eaa9cb1083ee407745b63acd27ce24c8d432f2df843</citedby><cites>FETCH-LOGICAL-c346t-e8111db74cf141c5757724eaa9cb1083ee407745b63acd27ce24c8d432f2df843</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Uhttp://image.cqvip.com/vip1000/qk/60110X/60110X.jpg</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11431-011-4332-1$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11431-011-4332-1$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,777,781,27905,27906,41469,42538,51300</link.rule.ids></links><search><creatorcontrib>Bao, TengFei</creatorcontrib><creatorcontrib>Qin, Dong</creatorcontrib><creatorcontrib>Zhou, XiWu</creatorcontrib><creatorcontrib>Wu, GuiFen</creatorcontrib><title>Abnormality monitoring model of cracks in concrete dams</title><title>Science China Technological Sciences</title><addtitle>Sci. China Technol. Sci</addtitle><addtitle>SCIENCE CHINA Technological Sciences</addtitle><description>The abnormality monitoring model (AMM) of cracks in concrete dams is established through integrating safety monitoring theories with abnormality diagnosis methods of cracks. In addition, emphasis is placed on the influence of crack depth on crack mouth opening displacement (CMOD). A linear hypothesis is proposed for the propagation process of cracks in concrete based on the fictitious crack model (FCM). Abnormality points are detected through testing methods of dynamical structure mutation and statistical model mutation. The solution of AMM is transformed into a global optimization problem, which is solved by the particle swarm optimization (PSO) method. Therefore, the AMM of cracks in concrete dams is established and solved completely. In the end of the paper, the proposed model is validated by a typical crack at the 105 m elevation of a concrete gravity arch dam.</description><subject>Abnormalities</subject><subject>Concretes</subject><subject>Cracks</subject><subject>Dams</subject><subject>Engineering</subject><subject>Mathematical models</subject><subject>Monitoring</subject><subject>Mutations</subject><subject>Optimization</subject><subject>基因突变检测</subject><subject>异常点</subject><subject>混凝土大坝</subject><subject>混凝土裂缝</subject><subject>监测模型</subject><subject>粒子群优化</subject><subject>虚拟裂缝模型</subject><subject>裂纹深度</subject><issn>1674-7321</issn><issn>1869-1900</issn><issn>1862-281X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><recordid>eNp9kD9PwzAQxS0EEhX0A7CFicng8zmxM1YV_6RKLDBbjuOUlMRu7XTotydRKkZuuTe8d6f3I-QO2CMwJp8SgECgDIAKRE7hgixAFSWFkrHLURdSUIkcrskypR0bB1XJQCyIXFU-xN507XDK-uDbIcTWb0dZuy4LTWajsT8pa31mg7fRDS6rTZ9uyVVjuuSW531Dvl6eP9dvdPPx-r5ebahFUQzUKQCoKylsAwJsLnMpuXDGlLYCptA5waQUeVWgsTWX1nFhVS2QN7xulMAb8jDf3cdwOLo06L5N1nWd8S4cky55gSDyHEYnzE4bQ0rRNXof297EkwamJ0x6xqRHTHrCpKcMnzNpP7V2Ue_CMfqx0L-h-_Oj7-C3hzH39wkVoFRY4i-VuXRj</recordid><startdate>20110701</startdate><enddate>20110701</enddate><creator>Bao, TengFei</creator><creator>Qin, Dong</creator><creator>Zhou, XiWu</creator><creator>Wu, GuiFen</creator><general>SP Science China Press</general><scope>2RA</scope><scope>92L</scope><scope>CQIGP</scope><scope>W92</scope><scope>~WA</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QQ</scope><scope>7SR</scope><scope>7TB</scope><scope>8BQ</scope><scope>8FD</scope><scope>FR3</scope><scope>JG9</scope><scope>KR7</scope></search><sort><creationdate>20110701</creationdate><title>Abnormality monitoring model of cracks in concrete dams</title><author>Bao, TengFei ; Qin, Dong ; Zhou, XiWu ; Wu, GuiFen</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c346t-e8111db74cf141c5757724eaa9cb1083ee407745b63acd27ce24c8d432f2df843</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Abnormalities</topic><topic>Concretes</topic><topic>Cracks</topic><topic>Dams</topic><topic>Engineering</topic><topic>Mathematical models</topic><topic>Monitoring</topic><topic>Mutations</topic><topic>Optimization</topic><topic>基因突变检测</topic><topic>异常点</topic><topic>混凝土大坝</topic><topic>混凝土裂缝</topic><topic>监测模型</topic><topic>粒子群优化</topic><topic>虚拟裂缝模型</topic><topic>裂纹深度</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Bao, TengFei</creatorcontrib><creatorcontrib>Qin, Dong</creatorcontrib><creatorcontrib>Zhou, XiWu</creatorcontrib><creatorcontrib>Wu, GuiFen</creatorcontrib><collection>中文科技期刊数据库</collection><collection>中文科技期刊数据库-CALIS站点</collection><collection>中文科技期刊数据库-7.0平台</collection><collection>中文科技期刊数据库-工程技术</collection><collection>中文科技期刊数据库- 镜像站点</collection><collection>CrossRef</collection><collection>Ceramic Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Materials Research Database</collection><collection>Civil Engineering Abstracts</collection><jtitle>Science China Technological Sciences</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Bao, TengFei</au><au>Qin, Dong</au><au>Zhou, XiWu</au><au>Wu, GuiFen</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Abnormality monitoring model of cracks in concrete dams</atitle><jtitle>Science China Technological Sciences</jtitle><stitle>Sci. China Technol. Sci</stitle><addtitle>SCIENCE CHINA Technological Sciences</addtitle><date>2011-07-01</date><risdate>2011</risdate><volume>54</volume><issue>7</issue><spage>1914</spage><epage>1922</epage><pages>1914-1922</pages><issn>1674-7321</issn><eissn>1869-1900</eissn><eissn>1862-281X</eissn><abstract>The abnormality monitoring model (AMM) of cracks in concrete dams is established through integrating safety monitoring theories with abnormality diagnosis methods of cracks. In addition, emphasis is placed on the influence of crack depth on crack mouth opening displacement (CMOD). A linear hypothesis is proposed for the propagation process of cracks in concrete based on the fictitious crack model (FCM). Abnormality points are detected through testing methods of dynamical structure mutation and statistical model mutation. The solution of AMM is transformed into a global optimization problem, which is solved by the particle swarm optimization (PSO) method. Therefore, the AMM of cracks in concrete dams is established and solved completely. In the end of the paper, the proposed model is validated by a typical crack at the 105 m elevation of a concrete gravity arch dam.</abstract><cop>Heidelberg</cop><pub>SP Science China Press</pub><doi>10.1007/s11431-011-4332-1</doi><tpages>9</tpages></addata></record> |
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subjects | Abnormalities Concretes Cracks Dams Engineering Mathematical models Monitoring Mutations Optimization 基因突变检测 异常点 混凝土大坝 混凝土裂缝 监测模型 粒子群优化 虚拟裂缝模型 裂纹深度 |
title | Abnormality monitoring model of cracks in concrete dams |
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