{"id":"https://openalex.org/W7136102107","doi":"https://doi.org/10.1590/1679-7825/e8788","title":"Convolutional neural network for highway bridge indirect structural health monitoring","display_name":"Convolutional neural network for highway bridge indirect structural health monitoring","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7136102107","doi":"https://doi.org/10.1590/1679-7825/e8788"},"language":"en","primary_location":{"id":"doi:10.1590/1679-7825/e8788","doi":"https://doi.org/10.1590/1679-7825/e8788","is_oa":true,"landing_page_url":"https://doi.org/10.1590/1679-7825/e8788","pdf_url":null,"source":{"id":"https://openalex.org/S40181659","display_name":"Latin American Journal of Solids and Structures","issn_l":"1679-7817","issn":["1679-7817","1679-7825"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","dongbi-c","jufo-1","norway-1","oarl","poland-70","russia-white-list-2","scielo"],"host_organization":"https://openalex.org/P4310312181","host_organization_name":"Brazilian Society of Mechanical Sciences and Engineering","host_organization_lineage":["https://openalex.org/P4310312181"],"host_organization_lineage_names":["Brazilian Society of Mechanical Sciences and Engineering"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Latin American Journal of Solids and Structures","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1590/1679-7825/e8788","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5114475250","display_name":"Pedro Gasparotti","orcid":"https://orcid.org/0009-0007-5824-3645","observed_orcids":["https://orcid.org/0009-0007-5824-3645"]},"institutions":[{"id":"https://openalex.org/I4104125","display_name":"Universidade Federal de Santa Catarina","ror":"https://ror.org/041akq887","country_code":"BR","type":"education","lineage":["https://openalex.org/I4104125"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Pedro Gasparotti","raw_affiliation_strings":["Federal University of Santa Catarina,  Brazil"],"raw_orcid":"https://orcid.org/0009-0007-5824-3645","affiliations":[{"raw_affiliation_string":"Federal University of Santa Catarina,  Brazil","institution_ids":["https://openalex.org/I4104125"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077474390","display_name":"Thiago Moreno Fernandes","orcid":"https://orcid.org/0000-0002-2568-1266","observed_orcids":["https://orcid.org/0000-0002-2568-1266"]},"institutions":[{"id":"https://openalex.org/I4104125","display_name":"Universidade Federal de Santa Catarina","ror":"https://ror.org/041akq887","country_code":"BR","type":"education","lineage":["https://openalex.org/I4104125"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Thiago Fernandes","raw_affiliation_strings":["Federal University of Santa Catarina,  Brazil"],"raw_orcid":"https://orcid.org/0000-0002-2568-1266","affiliations":[{"raw_affiliation_string":"Federal University of Santa Catarina,  Brazil","institution_ids":["https://openalex.org/I4104125"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066730205","display_name":"Leandro Fadel Miguel","orcid":"https://orcid.org/0000-0002-7881-1642","observed_orcids":["https://orcid.org/0000-0002-7881-1642"]},"institutions":[{"id":"https://openalex.org/I4104125","display_name":"Universidade Federal de Santa Catarina","ror":"https://ror.org/041akq887","country_code":"BR","type":"education","lineage":["https://openalex.org/I4104125"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Leandro Fadel Miguel","raw_affiliation_strings":["Federal University of Santa Catarina,  Brazil"],"raw_orcid":"https://orcid.org/0000-0002-7881-1642","affiliations":[{"raw_affiliation_string":"Federal University of Santa Catarina,  Brazil","institution_ids":["https://openalex.org/I4104125"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079209468","display_name":"Tiago Morkis Siqueira","orcid":"https://orcid.org/0000-0002-9727-3130","observed_orcids":["https://orcid.org/0000-0002-9727-3130"]},"institutions":[{"id":"https://openalex.org/I4104125","display_name":"Universidade Federal de Santa Catarina","ror":"https://ror.org/041akq887","country_code":"BR","type":"education","lineage":["https://openalex.org/I4104125"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Tiago Morkis Siqueira","raw_affiliation_strings":["Federal University of Santa Catarina,  Brazil"],"raw_orcid":"https://orcid.org/0000-0002-9727-3130","affiliations":[{"raw_affiliation_string":"Federal University of Santa Catarina,  Brazil","institution_ids":["https://openalex.org/I4104125"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081159662","display_name":"Rafael Holdorf Lopez","orcid":"https://orcid.org/0000-0001-9037-0176","observed_orcids":["https://orcid.org/0000-0001-9037-0176"]},"institutions":[{"id":"https://openalex.org/I4104125","display_name":"Universidade Federal de Santa Catarina","ror":"https://ror.org/041akq887","country_code":"BR","type":"education","lineage":["https://openalex.org/I4104125"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Rafael Holdorf Lopez","raw_affiliation_strings":["Federal University of Santa Catarina,  Brazil"],"raw_orcid":"https://orcid.org/0000-0001-9037-0176","affiliations":[{"raw_affiliation_string":"Federal University of Santa Catarina,  Brazil","institution_ids":["https://openalex.org/I4104125"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072010597","display_name":"Gabriel Padilha Alves","orcid":"https://orcid.org/0000-0002-8372-1270","observed_orcids":["https://orcid.org/0000-0002-8372-1270"]},"institutions":[{"id":"https://openalex.org/I4104125","display_name":"Universidade Federal de Santa Catarina","ror":"https://ror.org/041akq887","country_code":"BR","type":"education","lineage":["https://openalex.org/I4104125"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Gabriel Padilha Alves","raw_affiliation_strings":["Federal University of Santa Catarina,  Brazil"],"raw_orcid":"https://orcid.org/0000-0002-8372-1270","affiliations":[{"raw_affiliation_string":"Federal University of Santa Catarina,  Brazil","institution_ids":["https://openalex.org/I4104125"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4104125"],"apc_list":{"value":1000,"currency":"EUR","value_usd":1078},"apc_paid":{"value":1000,"currency":"EUR","value_usd":1078},"fwci":5.7195,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.94516753,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"23","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10534","display_name":"Structural Health Monitoring Techniques","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10534","display_name":"Structural Health Monitoring Techniques","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.00039999998989515007,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12940","display_name":"Structural Engineering and Materials Analysis","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/road-bridges","display_name":"highway bridges","score":0.7310000061988831},{"id":"https://openalex.org/keywords/convolutional-neural-networks","display_name":"convolutional neural networks","score":0.949999988079071},{"id":"https://openalex.org/keywords/vehicle-structure-interaction","display_name":"vehicle-structure interaction","score":0.7960000038146973},{"id":"https://openalex.org/keywords/damage-classification","display_name":"damage classification","score":0.6930000185966492},{"id":"https://openalex.org/keywords/sensor-placement","display_name":"sensor placement","score":0.7160000205039978},{"id":"https://openalex.org/keywords/uncertainty-quantification","display_name":"uncertainty quantification","score":0.5789999961853027},{"id":"https://openalex.org/keywords/finite-element-analysis","display_name":"finite element analysis","score":0.5989999771118164}],"concepts":[{"id":"https://openalex.org/C100776233","wikidata":"https://www.wikidata.org/wiki/Q2532492","display_name":"Bridge (graph theory)","level":2,"score":0.6485000252723694},{"id":"https://openalex.org/C2776247918","wikidata":"https://www.wikidata.org/wiki/Q1423713","display_name":"Structural health monitoring","level":2,"score":0.6269999742507935},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6244000196456909},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49900001287460327},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.41769999265670776},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.4172999858856201},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.3903999924659729},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.3885999917984009},{"id":"https://openalex.org/C2779372316","wikidata":"https://www.wikidata.org/wiki/Q569057","display_name":"Stiffness","level":2,"score":0.38769999146461487},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.382999986410141},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.3813000023365021},{"id":"https://openalex.org/C135628077","wikidata":"https://www.wikidata.org/wiki/Q220184","display_name":"Finite element method","level":2,"score":0.3808000087738037},{"id":"https://openalex.org/C2780042925","wikidata":"https://www.wikidata.org/wiki/Q1049667","display_name":"Road surface","level":2,"score":0.3513000011444092},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3271999955177307},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2996000051498413},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2978000044822693},{"id":"https://openalex.org/C2780966255","wikidata":"https://www.wikidata.org/wiki/Q5474306","display_name":"Foundation (evidence)","level":2,"score":0.2924000024795532},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.2856000065803528},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.2766000032424927},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.2669000029563904},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.26249998807907104}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1590/1679-7825/e8788","doi":"https://doi.org/10.1590/1679-7825/e8788","is_oa":true,"landing_page_url":"https://doi.org/10.1590/1679-7825/e8788","pdf_url":null,"source":{"id":"https://openalex.org/S40181659","display_name":"Latin American Journal of Solids and Structures","issn_l":"1679-7817","issn":["1679-7817","1679-7825"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","dongbi-c","jufo-1","norway-1","oarl","poland-70","russia-white-list-2","scielo"],"host_organization":"https://openalex.org/P4310312181","host_organization_name":"Brazilian Society of Mechanical Sciences and Engineering","host_organization_lineage":["https://openalex.org/P4310312181"],"host_organization_lineage_names":["Brazilian Society of Mechanical Sciences and Engineering"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Latin American Journal of Solids and Structures","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1590/1679-7825/e8788","doi":"https://doi.org/10.1590/1679-7825/e8788","is_oa":true,"landing_page_url":"https://doi.org/10.1590/1679-7825/e8788","pdf_url":null,"source":{"id":"https://openalex.org/S40181659","display_name":"Latin American Journal of Solids and Structures","issn_l":"1679-7817","issn":["1679-7817","1679-7825"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","dongbi-c","jufo-1","norway-1","oarl","poland-70","russia-white-list-2","scielo"],"host_organization":"https://openalex.org/P4310312181","host_organization_name":"Brazilian Society of Mechanical Sciences and Engineering","host_organization_lineage":["https://openalex.org/P4310312181"],"host_organization_lineage_names":["Brazilian Society of Mechanical Sciences and Engineering"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Latin American Journal of Solids and Structures","raw_type":"journal-article"},"sustainable_development_goals":[{"score":1.0,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"},{"score":0.47999998927116394,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1972297973","https://openalex.org/W1994616650","https://openalex.org/W2006141258","https://openalex.org/W2057691081","https://openalex.org/W2079061378","https://openalex.org/W2158698691","https://openalex.org/W2590665418","https://openalex.org/W2600303082","https://openalex.org/W2748435964","https://openalex.org/W2907951975","https://openalex.org/W2974839526","https://openalex.org/W2990419740","https://openalex.org/W3012334084","https://openalex.org/W3194730353","https://openalex.org/W4205881042","https://openalex.org/W4293059564","https://openalex.org/W4309773959","https://openalex.org/W4318777410","https://openalex.org/W4387046777","https://openalex.org/W4391754407","https://openalex.org/W4393352983","https://openalex.org/W4394590013","https://openalex.org/W4400179256","https://openalex.org/W4410436053"],"related_works":["https://openalex.org/W7139099293","https://openalex.org/W7021284966","https://openalex.org/W7172418389","https://openalex.org/W7154886711","https://openalex.org/W4405662536","https://openalex.org/W4413896180","https://openalex.org/W7154582070","https://openalex.org/W7118193179","https://openalex.org/W4385780042","https://openalex.org/W3113534093"],"abstract_inverted_index":{"Abstract":[0],"This":[1],"work":[2],"addresses":[3],"the":[4,27,31,42,70,85,106,109,117,121,129,133,142],"challenge":[5],"of":[6,15,30,45,52,132,144],"detecting":[7],"early-stage":[8],"scour":[9,154],"damage,":[10,40],"a":[11,49,63,78],"hidden,":[12],"leading":[13],"cause":[14],"roadway":[16],"bridge":[17],"failures,":[18],"using":[19,145],"indirect":[20,149],"monitoring":[21,150],"data.":[22],"The":[23,58,87,136],"main":[24],"contribution":[25],"is":[26,60,75],"systematic":[28],"investigation":[29],"Convolutional":[32],"Neural":[33],"Network":[34],"(CNN)":[35],"capability":[36],"to":[37],"detect":[38],"low-intensity":[39],"representing":[41],"initial":[43],"stages":[44],"foundation":[46,81],"scour,":[47],"under":[48],"comprehensive":[50],"set":[51],"Environmental":[53],"and":[54,97,119,128],"Operational":[55],"Variabilities":[56],"(EOVs).":[57],"dataset":[59],"generated":[61],"from":[62,124],"numerical":[64],"finite":[65],"element":[66],"code":[67],"(VBI-2D)":[68],"simulating":[69],"vehicle-structure":[71],"dynamic":[72],"interaction.":[73],"Damage":[74],"modeled":[76],"as":[77],"reduction":[79],"in":[80,92,156],"support":[82],"stiffness":[83],"at":[84],"midspan.":[86],"EOVs":[88],"incorporated":[89],"include":[90],"variations":[91],"vehicle":[93,118],"properties,":[94],"speed":[95],"fluctuations,":[96],"stochastic":[98,130],"road":[99],"surface":[100],"irregularities":[101],"(ISO":[102],"Class":[103],"'A').":[104],"Additionally,":[105],"study":[107],"evaluates":[108],"damage-classification":[110],"performance":[111],"for":[112,152],"different":[113],"sensor":[114],"locations":[115],"along":[116],"quantifies":[120],"uncertainties":[122],"arising":[123],"both":[125],"data":[126,151],"variability":[127],"nature":[131],"learning":[134],"algorithm.":[135],"optimal":[137],"CNN":[138],"architecture":[139],"accuracy":[140],"demonstrates":[141],"feasibility":[143],"supervised":[146],"CNNs":[147],"with":[148],"early":[153],"detection":[155],"highway":[157],"bridges.":[158]},"counts_by_year":[{"year":2026,"cited_by_count":3}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2026-03-17T00:00:00"}
