Bridge Performance Monitoring Based on Traffic Data
AbstractThere is a huge interest in developing new performance metrics, based on monitoring information and considering uncertainties in the resistance and loading effects, to be used by stakeholders when determining maintenance and rehabilitation strategies for existing bridges. The cost of structu...
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Veröffentlicht in: | Journal of engineering mechanics 2013-11, Vol.139 (11), p.1508-1520 |
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description | AbstractThere is a huge interest in developing new performance metrics, based on monitoring information and considering uncertainties in the resistance and loading effects, to be used by stakeholders when determining maintenance and rehabilitation strategies for existing bridges. The cost of structural health monitoring is generally a criterion in the duration of the monitoring program, and determining when, and how long, monitoring can be interrupted is still a challenge. Providing an approach that quantifies the benefits of monitoring is crucial for stakeholders. The objective of this paper is threefold: build a performance indicator based on monitoring information that considers uncertainties and correlation in recorded data; use this indicator to check and predict if serviceability and safety thresholds are reached; and analyze the impact of short monitoring interruptions on the performance assessment accuracy by balancing cost of monitoring with the efficiency of the results. The originality of the proposed approach consists in the introduction of a performance indicator in the structural reliability analysis, based on monitoring programs. The regression methodology enables one to apply the reliability analysis when monitoring is interrupted during short-term periods and to assess the impact of such interruptions on the structural analysis accuracy. The proposed approach is applied on an existing bridge. |
doi_str_mv | 10.1061/(ASCE)EM.1943-7889.0000582 |
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The cost of structural health monitoring is generally a criterion in the duration of the monitoring program, and determining when, and how long, monitoring can be interrupted is still a challenge. Providing an approach that quantifies the benefits of monitoring is crucial for stakeholders. The objective of this paper is threefold: build a performance indicator based on monitoring information that considers uncertainties and correlation in recorded data; use this indicator to check and predict if serviceability and safety thresholds are reached; and analyze the impact of short monitoring interruptions on the performance assessment accuracy by balancing cost of monitoring with the efficiency of the results. The originality of the proposed approach consists in the introduction of a performance indicator in the structural reliability analysis, based on monitoring programs. The regression methodology enables one to apply the reliability analysis when monitoring is interrupted during short-term periods and to assess the impact of such interruptions on the structural analysis accuracy. 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The cost of structural health monitoring is generally a criterion in the duration of the monitoring program, and determining when, and how long, monitoring can be interrupted is still a challenge. Providing an approach that quantifies the benefits of monitoring is crucial for stakeholders. The objective of this paper is threefold: build a performance indicator based on monitoring information that considers uncertainties and correlation in recorded data; use this indicator to check and predict if serviceability and safety thresholds are reached; and analyze the impact of short monitoring interruptions on the performance assessment accuracy by balancing cost of monitoring with the efficiency of the results. The originality of the proposed approach consists in the introduction of a performance indicator in the structural reliability analysis, based on monitoring programs. The regression methodology enables one to apply the reliability analysis when monitoring is interrupted during short-term periods and to assess the impact of such interruptions on the structural analysis accuracy. The proposed approach is applied on an existing bridge.</description><subject>Bridge maintenance</subject><subject>Cost analysis</subject><subject>Engineering Sciences</subject><subject>Impact analysis</subject><subject>Indicators</subject><subject>Interruption</subject><subject>Mechanics</subject><subject>Physics</subject><subject>Regression</subject><subject>Structural health monitoring</subject><subject>Structural mechanics</subject><subject>Technical Papers</subject><subject>Uncertainty</subject><issn>0733-9399</issn><issn>1943-7889</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><recordid>eNp1kE1PwkAURSdGExH9D40rWBTnqzMdd4BVTCCaiOvJYzrFktLBmWLiv7dNCTvf5iU3597FQeie4AnBgjyMph_zbJytJkRxFss0VRPcXpLSCzQ4Z5dogCVjsWJKXaObEHYYEy6UGCA282W-tdG79YXze6iNjVauLhvny3obzSDYPHJ1tPZQFKWJnqCBW3RVQBXs3ekP0edztp4v4uXby-t8uoyBSdHEG8oEtZbJBPNCYsJIknLgBueJUpQmlhmxAcKk4YRLQzYSU6EsTUyegsoVG6Jxv_sFlT74cg_-Vzso9WK61F2GCZZESPxDWnbUswfvvo82NHpfBmOrCmrrjkGTVPCEplyKFn3sUeNdCN4W522CdWdV686qzla6M6g7g_pktS2Lvgztut65o69bBefm_8U_jZZ4bg</recordid><startdate>20131101</startdate><enddate>20131101</enddate><creator>Orcesi, André D</creator><creator>Frangopol, Dan M</creator><general>American Society of Civil Engineers</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7TB</scope><scope>8FD</scope><scope>F28</scope><scope>FR3</scope><scope>KR7</scope><scope>1XC</scope></search><sort><creationdate>20131101</creationdate><title>Bridge Performance Monitoring Based on Traffic Data</title><author>Orcesi, André D ; Frangopol, Dan M</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a376t-b2362ee37504f70131584a4c0d599225e3c6ba137c4147c1b70269e25cd8a9d93</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Bridge maintenance</topic><topic>Cost analysis</topic><topic>Engineering Sciences</topic><topic>Impact analysis</topic><topic>Indicators</topic><topic>Interruption</topic><topic>Mechanics</topic><topic>Physics</topic><topic>Regression</topic><topic>Structural health monitoring</topic><topic>Structural mechanics</topic><topic>Technical Papers</topic><topic>Uncertainty</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Orcesi, André D</creatorcontrib><creatorcontrib>Frangopol, Dan M</creatorcontrib><collection>CrossRef</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><collection>Hyper Article en Ligne (HAL)</collection><jtitle>Journal of engineering mechanics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Orcesi, André D</au><au>Frangopol, Dan M</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Bridge Performance Monitoring Based on Traffic Data</atitle><jtitle>Journal of engineering mechanics</jtitle><date>2013-11-01</date><risdate>2013</risdate><volume>139</volume><issue>11</issue><spage>1508</spage><epage>1520</epage><pages>1508-1520</pages><issn>0733-9399</issn><eissn>1943-7889</eissn><abstract>AbstractThere is a huge interest in developing new performance metrics, based on monitoring information and considering uncertainties in the resistance and loading effects, to be used by stakeholders when determining maintenance and rehabilitation strategies for existing bridges. The cost of structural health monitoring is generally a criterion in the duration of the monitoring program, and determining when, and how long, monitoring can be interrupted is still a challenge. Providing an approach that quantifies the benefits of monitoring is crucial for stakeholders. The objective of this paper is threefold: build a performance indicator based on monitoring information that considers uncertainties and correlation in recorded data; use this indicator to check and predict if serviceability and safety thresholds are reached; and analyze the impact of short monitoring interruptions on the performance assessment accuracy by balancing cost of monitoring with the efficiency of the results. The originality of the proposed approach consists in the introduction of a performance indicator in the structural reliability analysis, based on monitoring programs. The regression methodology enables one to apply the reliability analysis when monitoring is interrupted during short-term periods and to assess the impact of such interruptions on the structural analysis accuracy. The proposed approach is applied on an existing bridge.</abstract><pub>American Society of Civil Engineers</pub><doi>10.1061/(ASCE)EM.1943-7889.0000582</doi><tpages>13</tpages></addata></record> |
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subjects | Bridge maintenance Cost analysis Engineering Sciences Impact analysis Indicators Interruption Mechanics Physics Regression Structural health monitoring Structural mechanics Technical Papers Uncertainty |
title | Bridge Performance Monitoring Based on Traffic Data |
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