Structural health monitoring of a stress-ribbon footbridge
• Continuous dynamic monitoring of a stress-ribbon footbridge during 3years. • Analysis of the influence of environmental and operational factors on the footbridge modal properties. • Removal of those effects based on PCA; use of Novelty analysis to build a damage indicator. • Demonstration of the e...
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Veröffentlicht in: | Engineering structures 2013-12, Vol.57, p.578-593 |
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creator | Hu, Wei-Hua Caetano, Elsa Cunha, Álvaro |
description | • Continuous dynamic monitoring of a stress-ribbon footbridge during 3years. • Analysis of the influence of environmental and operational factors on the footbridge modal properties. • Removal of those effects based on PCA; use of Novelty analysis to build a damage indicator. • Demonstration of the efficiency of the described damage detection methodology. • Simulation of realistic damage scenarios based on experimentally validated FE model.
This work describes the development and implementation of a structural health monitoring system on a stress-ribbon footbridge. In a first part, it characterises the implemented continuous dynamic monitoring system and the application of automated operational modal analysis to analyse the variation of modal properties estimates along several years. A correlation analysis is then conducted showing that environmental and operational factors (e.g. temperature and pedestrian traffic) induce significant nonlinear effects on the modal frequency estimates, which may mask subtle early damage. Taking into account linear relations between frequency estimates of different modes, the linear Principal Component Analysis (PCA) is applied to remove those effects. Novelty analysis of the residual errors of PCA is used to build a statistical damage indicator for long term structural health monitoring. Finally, the efficiency of the described damage detection methodology is evidenced by simulating some realistic damage scenarios based on an experimentally validated finite element model and observing the clear deviation of the damage indicator. It is demonstrated that such a dynamic monitoring system can serve as an effective tool for long term bridge health monitoring. |
doi_str_mv | 10.1016/j.engstruct.2012.06.051 |
format | Article |
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This work describes the development and implementation of a structural health monitoring system on a stress-ribbon footbridge. In a first part, it characterises the implemented continuous dynamic monitoring system and the application of automated operational modal analysis to analyse the variation of modal properties estimates along several years. A correlation analysis is then conducted showing that environmental and operational factors (e.g. temperature and pedestrian traffic) induce significant nonlinear effects on the modal frequency estimates, which may mask subtle early damage. Taking into account linear relations between frequency estimates of different modes, the linear Principal Component Analysis (PCA) is applied to remove those effects. Novelty analysis of the residual errors of PCA is used to build a statistical damage indicator for long term structural health monitoring. Finally, the efficiency of the described damage detection methodology is evidenced by simulating some realistic damage scenarios based on an experimentally validated finite element model and observing the clear deviation of the damage indicator. It is demonstrated that such a dynamic monitoring system can serve as an effective tool for long term bridge health monitoring.</description><identifier>ISSN: 0141-0296</identifier><identifier>EISSN: 1873-7323</identifier><identifier>DOI: 10.1016/j.engstruct.2012.06.051</identifier><identifier>CODEN: ENSTDF</identifier><language>eng</language><publisher>Kidlington: Elsevier Ltd</publisher><subject>Applied sciences ; Automated modal identification ; Bridges ; Buildings. Public works ; Continuous dynamic monitoring ; Damage ; Dynamical systems ; Dynamics ; Environmental/operational effects ; Estimates ; Exact sciences and technology ; Footbridge vibrations ; Health monitoring (engineering) ; Indicators ; Mathematical models ; Measurements. Technique of testing ; Nonlinear dynamics ; Principal Component Analysis ; Stresses. Safety ; Structural analysis. Stresses ; Structural health monitoring</subject><ispartof>Engineering structures, 2013-12, Vol.57, p.578-593</ispartof><rights>2012 Elsevier Ltd</rights><rights>2015 INIST-CNRS</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c503t-863220214ba4c7adc44e1a88788008a9c63726c2cdc1119283d860a6c523743c3</citedby><cites>FETCH-LOGICAL-c503t-863220214ba4c7adc44e1a88788008a9c63726c2cdc1119283d860a6c523743c3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.engstruct.2012.06.051$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,777,781,3537,27905,27906,45976</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=28049320$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Hu, Wei-Hua</creatorcontrib><creatorcontrib>Caetano, Elsa</creatorcontrib><creatorcontrib>Cunha, Álvaro</creatorcontrib><title>Structural health monitoring of a stress-ribbon footbridge</title><title>Engineering structures</title><description>• Continuous dynamic monitoring of a stress-ribbon footbridge during 3years. • Analysis of the influence of environmental and operational factors on the footbridge modal properties. • Removal of those effects based on PCA; use of Novelty analysis to build a damage indicator. • Demonstration of the efficiency of the described damage detection methodology. • Simulation of realistic damage scenarios based on experimentally validated FE model.
This work describes the development and implementation of a structural health monitoring system on a stress-ribbon footbridge. In a first part, it characterises the implemented continuous dynamic monitoring system and the application of automated operational modal analysis to analyse the variation of modal properties estimates along several years. A correlation analysis is then conducted showing that environmental and operational factors (e.g. temperature and pedestrian traffic) induce significant nonlinear effects on the modal frequency estimates, which may mask subtle early damage. Taking into account linear relations between frequency estimates of different modes, the linear Principal Component Analysis (PCA) is applied to remove those effects. Novelty analysis of the residual errors of PCA is used to build a statistical damage indicator for long term structural health monitoring. Finally, the efficiency of the described damage detection methodology is evidenced by simulating some realistic damage scenarios based on an experimentally validated finite element model and observing the clear deviation of the damage indicator. It is demonstrated that such a dynamic monitoring system can serve as an effective tool for long term bridge health monitoring.</description><subject>Applied sciences</subject><subject>Automated modal identification</subject><subject>Bridges</subject><subject>Buildings. Public works</subject><subject>Continuous dynamic monitoring</subject><subject>Damage</subject><subject>Dynamical systems</subject><subject>Dynamics</subject><subject>Environmental/operational effects</subject><subject>Estimates</subject><subject>Exact sciences and technology</subject><subject>Footbridge vibrations</subject><subject>Health monitoring (engineering)</subject><subject>Indicators</subject><subject>Mathematical models</subject><subject>Measurements. Technique of testing</subject><subject>Nonlinear dynamics</subject><subject>Principal Component Analysis</subject><subject>Stresses. Safety</subject><subject>Structural analysis. Stresses</subject><subject>Structural health monitoring</subject><issn>0141-0296</issn><issn>1873-7323</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><recordid>eNqNkc1OwzAQhC0EEqXwDOSCxCVh13ZshxtC_EmVOABny3Wc4iqNwU6QeHtcirjCaS_fzOzuEHKKUCGguFhXblilMU52rCggrUBUUOMemaGSrJSMsn0yA-RYAm3EITlKaQ0AVCmYkcunb-UUTV-8OtOPr8UmDH4M0Q-rInSFKbK3S6mMfrkMQ9GFMC6jb1fumBx0pk_u5GfOycvtzfP1fbl4vHu4vlqUtgY2lkowSoEiXxpupWkt5w6NUjLngzKNFUxSYaltLSI2VLFWCTDC1pRJziybk_Od71sM75NLo974ZF3fm8GFKWkUUja0FhL-g2Kd4yT7G605bPfm4h9o9hVMocqo3KE2hpSi6_Rb9BsTPzWC3tal1_q3Lr2tS4PQua6sPPsJMcmavotmsD79yqkC3jC6PfFqx7n88g_vok7Wu8G61keXPdvg_8z6AjwjrMU</recordid><startdate>20131201</startdate><enddate>20131201</enddate><creator>Hu, Wei-Hua</creator><creator>Caetano, Elsa</creator><creator>Cunha, Álvaro</creator><general>Elsevier Ltd</general><general>Elsevier</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7T2</scope><scope>7U2</scope><scope>C1K</scope><scope>7SR</scope><scope>8BQ</scope><scope>8FD</scope><scope>FR3</scope><scope>JG9</scope><scope>KR7</scope></search><sort><creationdate>20131201</creationdate><title>Structural health monitoring of a stress-ribbon footbridge</title><author>Hu, Wei-Hua ; Caetano, Elsa ; Cunha, Álvaro</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c503t-863220214ba4c7adc44e1a88788008a9c63726c2cdc1119283d860a6c523743c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Applied sciences</topic><topic>Automated modal identification</topic><topic>Bridges</topic><topic>Buildings. Public works</topic><topic>Continuous dynamic monitoring</topic><topic>Damage</topic><topic>Dynamical systems</topic><topic>Dynamics</topic><topic>Environmental/operational effects</topic><topic>Estimates</topic><topic>Exact sciences and technology</topic><topic>Footbridge vibrations</topic><topic>Health monitoring (engineering)</topic><topic>Indicators</topic><topic>Mathematical models</topic><topic>Measurements. Technique of testing</topic><topic>Nonlinear dynamics</topic><topic>Principal Component Analysis</topic><topic>Stresses. Safety</topic><topic>Structural analysis. Stresses</topic><topic>Structural health monitoring</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hu, Wei-Hua</creatorcontrib><creatorcontrib>Caetano, Elsa</creatorcontrib><creatorcontrib>Cunha, Álvaro</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Health and Safety Science Abstracts (Full archive)</collection><collection>Safety Science and Risk</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineered Materials 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>Engineering structures</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hu, Wei-Hua</au><au>Caetano, Elsa</au><au>Cunha, Álvaro</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Structural health monitoring of a stress-ribbon footbridge</atitle><jtitle>Engineering structures</jtitle><date>2013-12-01</date><risdate>2013</risdate><volume>57</volume><spage>578</spage><epage>593</epage><pages>578-593</pages><issn>0141-0296</issn><eissn>1873-7323</eissn><coden>ENSTDF</coden><abstract>• Continuous dynamic monitoring of a stress-ribbon footbridge during 3years. • Analysis of the influence of environmental and operational factors on the footbridge modal properties. • Removal of those effects based on PCA; use of Novelty analysis to build a damage indicator. • Demonstration of the efficiency of the described damage detection methodology. • Simulation of realistic damage scenarios based on experimentally validated FE model.
This work describes the development and implementation of a structural health monitoring system on a stress-ribbon footbridge. In a first part, it characterises the implemented continuous dynamic monitoring system and the application of automated operational modal analysis to analyse the variation of modal properties estimates along several years. A correlation analysis is then conducted showing that environmental and operational factors (e.g. temperature and pedestrian traffic) induce significant nonlinear effects on the modal frequency estimates, which may mask subtle early damage. Taking into account linear relations between frequency estimates of different modes, the linear Principal Component Analysis (PCA) is applied to remove those effects. Novelty analysis of the residual errors of PCA is used to build a statistical damage indicator for long term structural health monitoring. Finally, the efficiency of the described damage detection methodology is evidenced by simulating some realistic damage scenarios based on an experimentally validated finite element model and observing the clear deviation of the damage indicator. It is demonstrated that such a dynamic monitoring system can serve as an effective tool for long term bridge health monitoring.</abstract><cop>Kidlington</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.engstruct.2012.06.051</doi><tpages>16</tpages><oa>free_for_read</oa></addata></record> |
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source | ScienceDirect Journals (5 years ago - present) |
subjects | Applied sciences Automated modal identification Bridges Buildings. Public works Continuous dynamic monitoring Damage Dynamical systems Dynamics Environmental/operational effects Estimates Exact sciences and technology Footbridge vibrations Health monitoring (engineering) Indicators Mathematical models Measurements. Technique of testing Nonlinear dynamics Principal Component Analysis Stresses. Safety Structural analysis. Stresses Structural health monitoring |
title | Structural health monitoring of a stress-ribbon footbridge |
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