Titulo:
A NUMERICAL APPROACH FOR FAULT DETECTION IN BEAM-LIKE STRUCTURES USING MODAL STRAIN ENERGY
.
Guardado en:
1794-1237
2463-0950
7
2013-10-02
171
184
Revista EIA - 2013
Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial-SinDerivadas 4.0.
info:eu-repo/semantics/openAccess
http://purl.org/coar/access_right/c_abf2
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metarevistapublica_eia_revistaeia_10_article_240 |
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ojs |
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A NUMERICAL APPROACH FOR FAULT DETECTION IN BEAM-LIKE STRUCTURES USING MODAL STRAIN ENERGY A NUMERICAL APPROACH FOR FAULT DETECTION IN BEAM-LIKE STRUCTURES USING MODAL STRAIN ENERGY Vibration-baseddamage detection is based on the fact that measurements of changes in thevibration properties of a structure can be used to determine the occurrence ofstructural damage. Therefore, there is a strong need for the development andimplementation of fault detection and optimum sensor location methods thataddress the issue of limited instrumentation and its effect in predictingdamage degradation. In this paper, the results of a numerical implementation ofa previously developed sensor distribution method are presented. A finiteelement model of a railway box-girder bridge is assembled. Then, the damageindex method is numerically implemented in order to identify damage from theresulting sensor measurements. Both the optimum sensor placement and the damagedetection methods are based on the concept of modal strain energy. Finally, thenumerical results show that the proposed approach is suitable for continuousdamage monitoring implementations and can be used as a useful tool for damageassessment in beam-like structures. Riveros, Carlos Alberto García, Edwin Fabián Builes, Manuel Alonso 7 13 Artículo de revista Journal article 2013-10-02 00:00:00 2013-10-02 00:00:00 2013-10-02 application/pdf Fondo Editorial EIA - Universidad EIA Revista EIA 1794-1237 2463-0950 https://revistas.eia.edu.co/index.php/reveia/article/view/240 https://revistas.eia.edu.co/index.php/reveia/article/view/240 eng https://creativecommons.org/licenses/by-nc-nd/4.0 Revista EIA - 2013 Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial-SinDerivadas 4.0. 171 184 https://revistas.eia.edu.co/index.php/reveia/article/download/240/236 info:eu-repo/semantics/article http://purl.org/coar/resource_type/c_6501 http://purl.org/coar/resource_type/c_2df8fbb1 http://purl.org/redcol/resource_type/ART info:eu-repo/semantics/publishedVersion http://purl.org/coar/version/c_970fb48d4fbd8a85 info:eu-repo/semantics/openAccess http://purl.org/coar/access_right/c_abf2 Text Publication |
| institution |
UNIVERSIDAD EIA |
| thumbnail |
https://nuevo.metarevistas.org/UNIVERSIDADEIA/logo.png |
| country_str |
Colombia |
| collection |
Revista EIA |
| title |
A NUMERICAL APPROACH FOR FAULT DETECTION IN BEAM-LIKE STRUCTURES USING MODAL STRAIN ENERGY |
| spellingShingle |
A NUMERICAL APPROACH FOR FAULT DETECTION IN BEAM-LIKE STRUCTURES USING MODAL STRAIN ENERGY Riveros, Carlos Alberto García, Edwin Fabián Builes, Manuel Alonso |
| title_short |
A NUMERICAL APPROACH FOR FAULT DETECTION IN BEAM-LIKE STRUCTURES USING MODAL STRAIN ENERGY |
| title_full |
A NUMERICAL APPROACH FOR FAULT DETECTION IN BEAM-LIKE STRUCTURES USING MODAL STRAIN ENERGY |
| title_fullStr |
A NUMERICAL APPROACH FOR FAULT DETECTION IN BEAM-LIKE STRUCTURES USING MODAL STRAIN ENERGY |
| title_full_unstemmed |
A NUMERICAL APPROACH FOR FAULT DETECTION IN BEAM-LIKE STRUCTURES USING MODAL STRAIN ENERGY |
| title_sort |
numerical approach for fault detection in beam-like structures using modal strain energy |
| title_eng |
A NUMERICAL APPROACH FOR FAULT DETECTION IN BEAM-LIKE STRUCTURES USING MODAL STRAIN ENERGY |
| description_eng |
Vibration-baseddamage detection is based on the fact that measurements of changes in thevibration properties of a structure can be used to determine the occurrence ofstructural damage. Therefore, there is a strong need for the development andimplementation of fault detection and optimum sensor location methods thataddress the issue of limited instrumentation and its effect in predictingdamage degradation. In this paper, the results of a numerical implementation ofa previously developed sensor distribution method are presented. A finiteelement model of a railway box-girder bridge is assembled. Then, the damageindex method is numerically implemented in order to identify damage from theresulting sensor measurements. Both the optimum sensor placement and the damagedetection methods are based on the concept of modal strain energy. Finally, thenumerical results show that the proposed approach is suitable for continuousdamage monitoring implementations and can be used as a useful tool for damageassessment in beam-like structures.
|
| author |
Riveros, Carlos Alberto García, Edwin Fabián Builes, Manuel Alonso |
| author_facet |
Riveros, Carlos Alberto García, Edwin Fabián Builes, Manuel Alonso |
| citationvolume |
7 |
| citationissue |
13 |
| publisher |
Fondo Editorial EIA - Universidad EIA |
| ispartofjournal |
Revista EIA |
| source |
https://revistas.eia.edu.co/index.php/reveia/article/view/240 |
| language |
eng |
| format |
Article |
| rights |
https://creativecommons.org/licenses/by-nc-nd/4.0 Revista EIA - 2013 Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial-SinDerivadas 4.0. info:eu-repo/semantics/openAccess http://purl.org/coar/access_right/c_abf2 |
| type_driver |
info:eu-repo/semantics/article |
| type_coar |
http://purl.org/coar/resource_type/c_6501 |
| type_version |
info:eu-repo/semantics/publishedVersion |
| type_coarversion |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
| type_content |
Text |
| publishDate |
2013-10-02 |
| date_accessioned |
2013-10-02 00:00:00 |
| date_available |
2013-10-02 00:00:00 |
| url |
https://revistas.eia.edu.co/index.php/reveia/article/view/240 |
| url_doi |
https://revistas.eia.edu.co/index.php/reveia/article/view/240 |
| issn |
1794-1237 |
| eissn |
2463-0950 |
| citationstartpage |
171 |
| citationendpage |
184 |
| url2_str_mv |
https://revistas.eia.edu.co/index.php/reveia/article/download/240/236 |
| _version_ |
1811200480725958656 |