Post-processing algorithms for distributed optical fiber sensing in structural health monitoring applications
Distributed optical fiber sensors are measuring tools whose potential related to the civil engineering field has been discovered in the latest years only (reduced dimensions, easy installation process, lower installation costs, elevated reading accuracy, and distributed monitoring). Yet, what appear...
| Autores: | , , |
|---|---|
| Formato: | artículo |
| Fecha de publicación: | 2021 |
| País: | España |
| Recursos: | Universitat Politècnica de Catalunya (UPC) |
| Repositorio: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglés |
| OAI Identifier: | oai:upcommons.upc.edu:2117/342401 |
| Acesso em linha: | https://hdl.handle.net/2117/342401 https://dx.doi.org/10.1177/1475921720921559 |
| Access Level: | acceso abierto |
| Palavra-chave: | Structural health monitoring Optical fiber detectors Distributed optical fiber sensor Concrete structures Tunnel monitoring Structural integrity Detectors de fibra òptica Monitorització de salut estructural Àrees temàtiques de la UPC::Enginyeria civil::Materials i estructures |
| id |
ES_f8aebfa6e256c84a32fc05b50a3ef3d6 |
|---|---|
| oai_identifier_str |
oai:upcommons.upc.edu:2117/342401 |
| network_acronym_str |
ES |
| network_name_str |
España |
| repository_id_str |
|
| spelling |
Post-processing algorithms for distributed optical fiber sensing in structural health monitoring applicationsBado, Mattia Francesco|||0000-0003-3446-261XCasas Rius, Joan Ramon|||0000-0003-4473-4308Gómez i Esteve, JuditStructural health monitoringOptical fiber detectorsStructural health monitoringDistributed optical fiber sensorConcrete structuresTunnel monitoringStructural integrityDetectors de fibra òpticaMonitorització de salut estructuralÀrees temàtiques de la UPC::Enginyeria civil::Materials i estructuresDistributed optical fiber sensors are measuring tools whose potential related to the civil engineering field has been discovered in the latest years only (reduced dimensions, easy installation process, lower installation costs, elevated reading accuracy, and distributed monitoring). Yet, what appears clear from numerous in situ distributed optical fiber sensors monitoring campaigns (bridges and historical structures among others) and laboratory confined experiments is that optical fiber sensors monitorings have a tendency of including in their outputs a certain amount of anomalistic readings (out of scale and unreliable measurements). These can be both punctual in nature and spread over all the monitoring duration. Their presence strongly affects the results both altering the data in its affected sections and distorting the overall trend of the strain evolution profiles, thus the importance of detecting, eliminating, and substituting them with correct values. Being this issue intrinsic in the raw output data of the monitoring tool itself, its only solution is computer-aided post-processing of the strain data. This article discusses different simple algorithms for getting rid of such disruptive anomalies using two methods previously used in the literature and a novel polynomial-based one with different levels of sophistication and accuracy. The viability and performance of each are tested on two study case scenarios: an experimental laboratory test on two reinforced concrete tensile elements and an in situ tunnel monitoring campaign. The outcome of such analysis will provide the reader with both clear indications on how to purge a distributed optical fiber sensors-extracted data set of all anomalies and on which is the best-suited method according to their needs. This marriage of computer technology and cutting edge structural health monitoring tool not only elevates the distributed optical fiber sensors viability but also provides civil and infrastructures engineers a reliable tool to perform previously unreachable levels of accuracy and extension monitoring coverage.The study was performed within project No 09.3.3-LMT-K-712-01-0145 that has received funding from European Social Fund under grant agreement with the Research Council of Lithuania (LMTLT). Furthermore, the authors acknowledge the help of COTCA Asistencia Técnica, Patología y Control de Calidad for the contribution provided in lending the OBR ODiSI-A machine and to TMB (Barcelona Transport Authority) for giving access to the monitored data of the metro tunnel.Peer Reviewed20212021-03-0120212021-03-24journal articlehttp://purl.org/coar/resource_type/c_6501AMhttp://purl.org/coar/version/c_ab4af688f83e57aainfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/2117/342401https://dx.doi.org/10.1177/1475921720921559reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2117/3424012026-05-27T15:37:01Z |
| dc.title.none.fl_str_mv |
Post-processing algorithms for distributed optical fiber sensing in structural health monitoring applications |
| title |
Post-processing algorithms for distributed optical fiber sensing in structural health monitoring applications |
| spellingShingle |
Post-processing algorithms for distributed optical fiber sensing in structural health monitoring applications Bado, Mattia Francesco|||0000-0003-3446-261X Structural health monitoring Optical fiber detectors Structural health monitoring Distributed optical fiber sensor Concrete structures Tunnel monitoring Structural integrity Detectors de fibra òptica Monitorització de salut estructural Àrees temàtiques de la UPC::Enginyeria civil::Materials i estructures |
| title_short |
Post-processing algorithms for distributed optical fiber sensing in structural health monitoring applications |
| title_full |
Post-processing algorithms for distributed optical fiber sensing in structural health monitoring applications |
| title_fullStr |
Post-processing algorithms for distributed optical fiber sensing in structural health monitoring applications |
| title_full_unstemmed |
Post-processing algorithms for distributed optical fiber sensing in structural health monitoring applications |
| title_sort |
Post-processing algorithms for distributed optical fiber sensing in structural health monitoring applications |
| dc.creator.none.fl_str_mv |
Bado, Mattia Francesco|||0000-0003-3446-261X Casas Rius, Joan Ramon|||0000-0003-4473-4308 Gómez i Esteve, Judit |
| author |
Bado, Mattia Francesco|||0000-0003-3446-261X |
| author_facet |
Bado, Mattia Francesco|||0000-0003-3446-261X Casas Rius, Joan Ramon|||0000-0003-4473-4308 Gómez i Esteve, Judit |
| author_role |
author |
| author2 |
Casas Rius, Joan Ramon|||0000-0003-4473-4308 Gómez i Esteve, Judit |
| author2_role |
author author |
| dc.subject.none.fl_str_mv |
Structural health monitoring Optical fiber detectors Structural health monitoring Distributed optical fiber sensor Concrete structures Tunnel monitoring Structural integrity Detectors de fibra òptica Monitorització de salut estructural Àrees temàtiques de la UPC::Enginyeria civil::Materials i estructures |
| topic |
Structural health monitoring Optical fiber detectors Structural health monitoring Distributed optical fiber sensor Concrete structures Tunnel monitoring Structural integrity Detectors de fibra òptica Monitorització de salut estructural Àrees temàtiques de la UPC::Enginyeria civil::Materials i estructures |
| description |
Distributed optical fiber sensors are measuring tools whose potential related to the civil engineering field has been discovered in the latest years only (reduced dimensions, easy installation process, lower installation costs, elevated reading accuracy, and distributed monitoring). Yet, what appears clear from numerous in situ distributed optical fiber sensors monitoring campaigns (bridges and historical structures among others) and laboratory confined experiments is that optical fiber sensors monitorings have a tendency of including in their outputs a certain amount of anomalistic readings (out of scale and unreliable measurements). These can be both punctual in nature and spread over all the monitoring duration. Their presence strongly affects the results both altering the data in its affected sections and distorting the overall trend of the strain evolution profiles, thus the importance of detecting, eliminating, and substituting them with correct values. Being this issue intrinsic in the raw output data of the monitoring tool itself, its only solution is computer-aided post-processing of the strain data. This article discusses different simple algorithms for getting rid of such disruptive anomalies using two methods previously used in the literature and a novel polynomial-based one with different levels of sophistication and accuracy. The viability and performance of each are tested on two study case scenarios: an experimental laboratory test on two reinforced concrete tensile elements and an in situ tunnel monitoring campaign. The outcome of such analysis will provide the reader with both clear indications on how to purge a distributed optical fiber sensors-extracted data set of all anomalies and on which is the best-suited method according to their needs. This marriage of computer technology and cutting edge structural health monitoring tool not only elevates the distributed optical fiber sensors viability but also provides civil and infrastructures engineers a reliable tool to perform previously unreachable levels of accuracy and extension monitoring coverage. |
| publishDate |
2021 |
| dc.date.none.fl_str_mv |
2021 2021-03-01 2021 2021-03-24 |
| dc.type.none.fl_str_mv |
journal article http://purl.org/coar/resource_type/c_6501 AM http://purl.org/coar/version/c_ab4af688f83e57aa |
| dc.type.openaire.fl_str_mv |
info:eu-repo/semantics/article |
| format |
article |
| dc.identifier.none.fl_str_mv |
https://hdl.handle.net/2117/342401 https://dx.doi.org/10.1177/1475921720921559 |
| url |
https://hdl.handle.net/2117/342401 https://dx.doi.org/10.1177/1475921720921559 |
| dc.language.none.fl_str_mv |
Inglés eng |
| language_invalid_str_mv |
Inglés |
| language |
eng |
| dc.rights.none.fl_str_mv |
open access http://purl.org/coar/access_right/c_abf2 |
| dc.rights.openaire.fl_str_mv |
info:eu-repo/semantics/openAccess |
| rights_invalid_str_mv |
open access http://purl.org/coar/access_right/c_abf2 |
| eu_rights_str_mv |
openAccess |
| dc.format.none.fl_str_mv |
application/pdf |
| dc.source.none.fl_str_mv |
reponame:UPCommons. Portal del coneixement obert de la UPC instname:Universitat Politècnica de Catalunya (UPC) |
| instname_str |
Universitat Politècnica de Catalunya (UPC) |
| reponame_str |
UPCommons. Portal del coneixement obert de la UPC |
| collection |
UPCommons. Portal del coneixement obert de la UPC |
| repository.name.fl_str_mv |
|
| repository.mail.fl_str_mv |
|
| _version_ |
1869425024466681856 |
| score |
15.300724 |