{"id":"https://openalex.org/W2889280660","doi":"https://doi.org/10.1061/(asce)be.1943-5592.0001302","title":"Bridge Damage Identification Using Artificial Neural Networks","display_name":"Bridge Damage Identification Using Artificial Neural Networks","publication_year":2018,"publication_date":"2018-08-30","ids":{"openalex":"https://openalex.org/W2889280660","doi":"https://doi.org/10.1061/(asce)be.1943-5592.0001302","mag":"2889280660"},"language":"en","primary_location":{"id":"doi:10.1061/(asce)be.1943-5592.0001302","doi":"https://doi.org/10.1061/(asce)be.1943-5592.0001302","is_oa":false,"landing_page_url":"https://doi.org/10.1061/(asce)be.1943-5592.0001302","pdf_url":null,"source":{"id":"https://openalex.org/S156658909","display_name":"Journal of Bridge Engineering","issn_l":"1084-0702","issn":["1084-0702","1943-5592"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","dongbi-a","jufo-1","norway-1","poland-100","russia-white-list-1"],"host_organization":"https://openalex.org/P4310315747","host_organization_name":"American Society of Civil Engineers","host_organization_lineage":["https://openalex.org/P4310315747"],"host_organization_lineage_names":["American Society of Civil Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Bridge Engineering","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5089407888","display_name":"Jordan C. Weinstein","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I121934306","display_name":"Tufts University","ror":"https://ror.org/05wvpxv85","country_code":"US","type":"education","lineage":["https://openalex.org/I121934306"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jordan C. Weinstein","raw_affiliation_strings":["Graduate Student, Research Assistant, Dept. of Civil & Environmental Engineering, Tufts Univ., Medford, MA 02155"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate Student, Research Assistant, Dept. of Civil & Environmental Engineering, Tufts Univ., Medford, MA 02155","institution_ids":["https://openalex.org/I121934306"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046801472","display_name":"Masoud Sanayei","orcid":"https://orcid.org/0000-0002-7033-4562","observed_orcids":["https://orcid.org/0000-0002-7033-4562"]},"institutions":[{"id":"https://openalex.org/I121934306","display_name":"Tufts University","ror":"https://ror.org/05wvpxv85","country_code":"US","type":"education","lineage":["https://openalex.org/I121934306"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Masoud Sanayei","raw_affiliation_strings":["Professor, Dept. of Civil & Environmental Engineering, Tufts Univ., Medford, MA 02155 (corresponding author)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Professor, Dept. of Civil & Environmental Engineering, Tufts Univ., Medford, MA 02155 (corresponding author)","institution_ids":["https://openalex.org/I121934306"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032003491","display_name":"Brian R. Brenner","orcid":"https://orcid.org/0000-0003-0031-8521","observed_orcids":["https://orcid.org/0000-0003-0031-8521"]},"institutions":[{"id":"https://openalex.org/I121934306","display_name":"Tufts University","ror":"https://ror.org/05wvpxv85","country_code":"US","type":"education","lineage":["https://openalex.org/I121934306"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Brian R. Brenner","raw_affiliation_strings":["Professor of the Practice, Dept. of Civil & Environmental Engineering, Tufts Univ., Medford, MA 02155"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Professor of the Practice, Dept. of Civil & Environmental Engineering, Tufts Univ., Medford, MA 02155","institution_ids":["https://openalex.org/I121934306"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5046801472"],"corresponding_institution_ids":["https://openalex.org/I121934306"],"apc_list":null,"apc_paid":null,"fwci":8.434,"has_fulltext":false,"cited_by_count":87,"citation_normalized_percentile":{"value":0.98174047,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"23","issue":"11","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":1.0,"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":1.0,"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"}},{"id":"https://openalex.org/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.0,"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/bridge-damage-detection","display_name":"bridge damage detection","score":0.9760000109672546},{"id":"https://openalex.org/keywords/structural-health-monitoring","display_name":"structural health monitoring","score":0.9860000014305115},{"id":"https://openalex.org/keywords/neural-network","display_name":"artificial neural networks","score":0.9229999780654907},{"id":"https://openalex.org/keywords/damage-localization","display_name":"damage localization","score":0.6819999814033508},{"id":"https://openalex.org/keywords/finite-element-model-updating","display_name":"finite element model updating","score":0.8199999928474426}],"concepts":[{"id":"https://openalex.org/C100776233","wikidata":"https://www.wikidata.org/wiki/Q2532492","display_name":"Bridge (graph theory)","level":2,"score":0.8021506667137146},{"id":"https://openalex.org/C2776247918","wikidata":"https://www.wikidata.org/wiki/Q1423713","display_name":"Structural health monitoring","level":2,"score":0.7926080226898193},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.6027301549911499},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6024835109710693},{"id":"https://openalex.org/C135628077","wikidata":"https://www.wikidata.org/wiki/Q220184","display_name":"Finite element method","level":2,"score":0.516851007938385},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5159609913825989},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.4901948571205139},{"id":"https://openalex.org/C52121051","wikidata":"https://www.wikidata.org/wiki/Q43193","display_name":"Truck","level":2,"score":0.46682992577552795},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.4605056941509247},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4479213058948517},{"id":"https://openalex.org/C207609745","wikidata":"https://www.wikidata.org/wiki/Q4944086","display_name":"Bootstrapping (finance)","level":2,"score":0.44048359990119934},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22482389211654663},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.09803196787834167},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0},{"id":"https://openalex.org/C106159729","wikidata":"https://www.wikidata.org/wiki/Q2294553","display_name":"Financial economics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1061/(asce)be.1943-5592.0001302","doi":"https://doi.org/10.1061/(asce)be.1943-5592.0001302","is_oa":false,"landing_page_url":"https://doi.org/10.1061/(asce)be.1943-5592.0001302","pdf_url":null,"source":{"id":"https://openalex.org/S156658909","display_name":"Journal of Bridge Engineering","issn_l":"1084-0702","issn":["1084-0702","1943-5592"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","dongbi-a","jufo-1","norway-1","poland-100","russia-white-list-1"],"host_organization":"https://openalex.org/P4310315747","host_organization_name":"American Society of Civil Engineers","host_organization_lineage":["https://openalex.org/P4310315747"],"host_organization_lineage_names":["American Society of Civil Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Bridge Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.7207000255584717,"display_name":"Industry, innovation and infrastructure"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W340263924","https://openalex.org/W627121629","https://openalex.org/W1563524711","https://openalex.org/W1968423201","https://openalex.org/W1970409590","https://openalex.org/W1983265841","https://openalex.org/W1996609983","https://openalex.org/W1998237903","https://openalex.org/W2001328672","https://openalex.org/W2007820586","https://openalex.org/W2017026122","https://openalex.org/W2031200027","https://openalex.org/W2034945673","https://openalex.org/W2047103988","https://openalex.org/W2050305668","https://openalex.org/W2050644627","https://openalex.org/W2056339252","https://openalex.org/W2074535414","https://openalex.org/W2077030027","https://openalex.org/W2078085744","https://openalex.org/W2078405189","https://openalex.org/W2084943816","https://openalex.org/W2084991246","https://openalex.org/W2087119090","https://openalex.org/W2123934404","https://openalex.org/W2163550102","https://openalex.org/W2209660494","https://openalex.org/W2738020365","https://openalex.org/W3106889297","https://openalex.org/W4252684946"],"related_works":["https://openalex.org/W2153435409","https://openalex.org/W3033559916","https://openalex.org/W2945609749","https://openalex.org/W3093429982","https://openalex.org/W2610246671","https://openalex.org/W7162080991","https://openalex.org/W7063896979","https://openalex.org/W2004937727","https://openalex.org/W2898569331","https://openalex.org/W2487840957"],"abstract_inverted_index":{"An":[0],"objective,":[1],"data-driven":[2],"approach":[3],"to":[4,106,131,184,188],"evaluate":[5],"the":[6,29,46,59,119,146,190,196,204],"performance":[7,143],"of":[8,24,31,70,111,122,164,206,222,234],"bridges":[9],"for":[10,141,231],"developing":[11],"a":[12,75,103,108,176,218],"structural":[13,26,165],"health":[14],"monitoring":[15],"system":[16],"is":[17,38,63,126,150,200,228],"introduced":[18],"as":[19,65],"bridge":[20,37,99,112,124,148,156,160],"behavior.":[21,113],"A":[22,139],"method":[23,140,199],"identifying":[25],"damage":[27,153,166,191,197],"through":[28],"evaluation":[30],"response":[32,100],"data":[33,101,187],"from":[34,169],"an":[35,223],"instrumented":[36],"proposed.":[39,151],"Strains":[40],"during":[41,74],"operational":[42,98,185],"traffic":[43,76,133],"events":[44,134],"at":[45,55,86,202],"Powder":[47],"Mill":[48],"Bridge":[49,61],"in":[50,89,102],"Barre,":[51],"Massachusetts,":[52],"are":[53,95,167,182],"recorded":[54],"many":[56],"locations":[57],"on":[58,79,175],"bridge.":[60],"behavior":[62,125,149,157],"defined":[64],"each":[66],"sensor":[67,82],"location\u2019s":[68],"range":[69],"expected":[71,147],"peak":[72],"strain":[73,186],"event":[77],"based":[78],"all":[80],"other":[81],"locations\u2019":[83],"strains":[84],"measured":[85],"that":[87],"instance":[88],"time.":[90],"Artificial":[91],"neural":[92],"networks":[93],"(ANNs)":[94],"trained":[96],"with":[97,135,208],"bootstrapping":[104],"scheme":[105],"generate":[107],"probabilistic":[109],"model":[110,121,179],"When":[114,194],"tested":[115],"against":[116],"new":[117],"data,":[118],"ANN-learned":[120],"predicted":[123],"proven":[127],"effective":[128,201],"and":[129,158,181],"applicable":[130],"varying":[132],"unknown":[136],"loading":[137],"conditions.":[138],"long-term":[142],"assessment":[144],"using":[145,217],"Structural":[152],"can":[154],"impact":[155],"thus":[159],"performance.":[161],"The":[162],"effects":[163],"extracted":[168],"simulated":[170,235],"HS20":[171],"design":[172],"truck":[173],"runs":[174],"calibrated":[177],"finite-element":[178],"(FEM)":[180],"applied":[183],"assess":[189],"identification":[192,198],"method.":[193],"assessed,":[195],"detecting":[203],"presence":[205],"damage,":[207],"no":[209],"Type":[210,213],"I":[211],"or":[212],"II":[214],"errors":[215],"when":[216],"Wilcoxon":[219],"rank-sum":[220],"test":[221],"appropriate":[224],"significance":[225],"level.":[226],"Damage":[227],"effectively":[229],"localized":[230],"most":[232],"types":[233],"damage.":[236]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":15},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":17},{"year":2020,"cited_by_count":15},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":3}],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2018-09-07T00:00:00"}