A two-stage method to identify structural damage sites and extents by using evidence theory and micro-search genetic algorithm
A two-stage method of determining the location and extent of multiple structural damages by using information fusion technique and genetic algorithm is presented in this paper. First the damage detection strategy is to localize the damage sites by using an evidence theory, which can perfectly integr...
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| Veröffentlicht in: | Mechanical systems and signal processing 2009-04, Vol.23 (3), p.769-782 |
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| container_title | Mechanical systems and signal processing |
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| creator | Guo, H.Y. Li, Z.L. |
| description | A two-stage method of determining the location and extent of multiple structural damages by using information fusion technique and genetic algorithm is presented in this paper. First the damage detection strategy is to localize the damage sites by using an evidence theory, which can perfectly integrate the damage identification information coming from both natural frequencies and mode shapes. Then, a micro-search genetic algorithm (MSGA) is proposed to determine the damage extent. A cantilever beam is analyzed as a numerical example to compare the performance of the proposed method with the multiple damage location assurance criterions (MDLAC) and the simple genetic algorithms. Simulation results show that identification results of the evidence theory are better than those both of the frequency MDLAC method and the mode shape MDLAC method, and the MSGA is also more accurate and effective than the simple genetic algorithms. Therefore, the two-stage method is very effective for the identification of multiple structural damages. |
| doi_str_mv | 10.1016/j.ymssp.2008.07.008 |
| format | Article |
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First the damage detection strategy is to localize the damage sites by using an evidence theory, which can perfectly integrate the damage identification information coming from both natural frequencies and mode shapes. Then, a micro-search genetic algorithm (MSGA) is proposed to determine the damage extent. A cantilever beam is analyzed as a numerical example to compare the performance of the proposed method with the multiple damage location assurance criterions (MDLAC) and the simple genetic algorithms. Simulation results show that identification results of the evidence theory are better than those both of the frequency MDLAC method and the mode shape MDLAC method, and the MSGA is also more accurate and effective than the simple genetic algorithms. Therefore, the two-stage method is very effective for the identification of multiple structural damages.</description><identifier>ISSN: 0888-3270</identifier><identifier>EISSN: 1096-1216</identifier><identifier>DOI: 10.1016/j.ymssp.2008.07.008</identifier><language>eng</language><publisher>Kidlington: Elsevier Ltd</publisher><subject>Damage detection ; Evidence theory ; Exact sciences and technology ; Fracture mechanics (crack, fatigue, damage...) ; Fundamental areas of phenomenology (including applications) ; Genetic algorithm ; Measurement and testing methods ; Mode shape ; Natural frequency ; Physics ; Solid mechanics ; Structural and continuum mechanics ; Vibration, mechanical wave, dynamic stability (aeroelasticity, vibration control...)</subject><ispartof>Mechanical systems and signal processing, 2009-04, Vol.23 (3), p.769-782</ispartof><rights>2008 Elsevier Ltd</rights><rights>2009 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c364t-1438a1123128d7dd3e894836c50f424ed72ae98a5cce1066f6ee872a86014cb43</citedby><cites>FETCH-LOGICAL-c364t-1438a1123128d7dd3e894836c50f424ed72ae98a5cce1066f6ee872a86014cb43</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.ymssp.2008.07.008$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=21243707$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Guo, H.Y.</creatorcontrib><creatorcontrib>Li, Z.L.</creatorcontrib><title>A two-stage method to identify structural damage sites and extents by using evidence theory and micro-search genetic algorithm</title><title>Mechanical systems and signal processing</title><description>A two-stage method of determining the location and extent of multiple structural damages by using information fusion technique and genetic algorithm is presented in this paper. First the damage detection strategy is to localize the damage sites by using an evidence theory, which can perfectly integrate the damage identification information coming from both natural frequencies and mode shapes. Then, a micro-search genetic algorithm (MSGA) is proposed to determine the damage extent. A cantilever beam is analyzed as a numerical example to compare the performance of the proposed method with the multiple damage location assurance criterions (MDLAC) and the simple genetic algorithms. Simulation results show that identification results of the evidence theory are better than those both of the frequency MDLAC method and the mode shape MDLAC method, and the MSGA is also more accurate and effective than the simple genetic algorithms. Therefore, the two-stage method is very effective for the identification of multiple structural damages.</description><subject>Damage detection</subject><subject>Evidence theory</subject><subject>Exact sciences and technology</subject><subject>Fracture mechanics (crack, fatigue, damage...)</subject><subject>Fundamental areas of phenomenology (including applications)</subject><subject>Genetic algorithm</subject><subject>Measurement and testing methods</subject><subject>Mode shape</subject><subject>Natural frequency</subject><subject>Physics</subject><subject>Solid mechanics</subject><subject>Structural and continuum mechanics</subject><subject>Vibration, mechanical wave, dynamic stability (aeroelasticity, vibration control...)</subject><issn>0888-3270</issn><issn>1096-1216</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2009</creationdate><recordtype>article</recordtype><recordid>eNp9kD1vFDEURS0EEkvgF9C4gW4mz_bE4y0ooogEpEg0pLYc-82uV_Ox-HkC0-S3x5ONKFNdyTr32j6MfRZQCxD6_FAvA9GxlgCmhrYu8YZtBGx1JaTQb9kGjDGVki28Zx-IDgCwbUBv2OMlz3-nirLbIR8w76fA88RjwDHHbuGU0-zznFzPgxtWiGJG4m4MHP_lQhG_X_hMcdxxfFh7Hnne45SWZ2iIPpV9dMnv-Q5HzNFz1--mFPN--Mjeda4n_PSSZ-zu-vvvqx_V7a-bn1eXt5VXusmVaJRxQkglpAltCArNtjFK-wvoGtlgaKXDrXEX3qMArTuNaMqZ0SAaf9-oM_b1tHtM058ZKdshkse-dyNOM1mlQBQhqoDqBJZXEyXs7DHFwaXFCrCra3uwz67t6tpCa0uU1peXeUfe9V1yo4_0vyqFbFQLbeG-nTgsf32ImCz5uBoLMaHPNkzx1XueACsQmCI</recordid><startdate>20090401</startdate><enddate>20090401</enddate><creator>Guo, H.Y.</creator><creator>Li, Z.L.</creator><general>Elsevier Ltd</general><general>Elsevier</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>7TB</scope><scope>8FD</scope><scope>FR3</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>20090401</creationdate><title>A two-stage method to identify structural damage sites and extents by using evidence theory and micro-search genetic algorithm</title><author>Guo, H.Y. ; Li, Z.L.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c364t-1438a1123128d7dd3e894836c50f424ed72ae98a5cce1066f6ee872a86014cb43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Damage detection</topic><topic>Evidence theory</topic><topic>Exact sciences and technology</topic><topic>Fracture mechanics (crack, fatigue, damage...)</topic><topic>Fundamental areas of phenomenology (including applications)</topic><topic>Genetic algorithm</topic><topic>Measurement and testing methods</topic><topic>Mode shape</topic><topic>Natural frequency</topic><topic>Physics</topic><topic>Solid mechanics</topic><topic>Structural and continuum mechanics</topic><topic>Vibration, mechanical wave, dynamic stability (aeroelasticity, vibration control...)</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Guo, H.Y.</creatorcontrib><creatorcontrib>Li, Z.L.</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>Mechanical systems and signal processing</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Guo, H.Y.</au><au>Li, Z.L.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A two-stage method to identify structural damage sites and extents by using evidence theory and micro-search genetic algorithm</atitle><jtitle>Mechanical systems and signal processing</jtitle><date>2009-04-01</date><risdate>2009</risdate><volume>23</volume><issue>3</issue><spage>769</spage><epage>782</epage><pages>769-782</pages><issn>0888-3270</issn><eissn>1096-1216</eissn><abstract>A two-stage method of determining the location and extent of multiple structural damages by using information fusion technique and genetic algorithm is presented in this paper. First the damage detection strategy is to localize the damage sites by using an evidence theory, which can perfectly integrate the damage identification information coming from both natural frequencies and mode shapes. Then, a micro-search genetic algorithm (MSGA) is proposed to determine the damage extent. A cantilever beam is analyzed as a numerical example to compare the performance of the proposed method with the multiple damage location assurance criterions (MDLAC) and the simple genetic algorithms. Simulation results show that identification results of the evidence theory are better than those both of the frequency MDLAC method and the mode shape MDLAC method, and the MSGA is also more accurate and effective than the simple genetic algorithms. Therefore, the two-stage method is very effective for the identification of multiple structural damages.</abstract><cop>Kidlington</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.ymssp.2008.07.008</doi><tpages>14</tpages></addata></record> |
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| identifier | ISSN: 0888-3270 |
| ispartof | Mechanical systems and signal processing, 2009-04, Vol.23 (3), p.769-782 |
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| language | eng |
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| source | Elsevier ScienceDirect Journals Complete |
| subjects | Damage detection Evidence theory Exact sciences and technology Fracture mechanics (crack, fatigue, damage...) Fundamental areas of phenomenology (including applications) Genetic algorithm Measurement and testing methods Mode shape Natural frequency Physics Solid mechanics Structural and continuum mechanics Vibration, mechanical wave, dynamic stability (aeroelasticity, vibration control...) |
| title | A two-stage method to identify structural damage sites and extents by using evidence theory and micro-search genetic algorithm |
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