{"id":"https://openalex.org/W7204490850","doi":"https://doi.org/10.1061/9780784486979.079","title":"A Review of Artificial Intelligence Applications in Structural Health Monitoring of Bridges Using Digital Twins","display_name":"A Review of Artificial Intelligence Applications in Structural Health Monitoring of Bridges Using Digital Twins","publication_year":2026,"publication_date":"2026-08-27","ids":{"openalex":"https://openalex.org/W7204490850","doi":"https://doi.org/10.1061/9780784486979.079"},"language":"en","primary_location":{"id":"doi:10.1061/9780784486979.079","doi":"https://doi.org/10.1061/9780784486979.079","is_oa":false,"landing_page_url":"https://doi.org/10.1061/9780784486979.079","pdf_url":null,"source":{"id":"https://openalex.org/S4363604722","display_name":"ASCE Construction Research Congress (CRC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Construction Research Congress 2026","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","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/A5072236919","display_name":"Mahdi Ghafoori","orcid":"https://orcid.org/0000-0003-1038-7619","observed_orcids":["https://orcid.org/0000-0003-1038-7619"]},"institutions":[{"id":"https://openalex.org/I44854399","display_name":"University of Southern Mississippi","ror":"https://ror.org/0270vfa57","country_code":"US","type":"education","lineage":["https://openalex.org/I4210141039","https://openalex.org/I44854399"]},{"id":"https://openalex.org/I99041443","display_name":"Mississippi State University","ror":"https://ror.org/0432jq872","country_code":"US","type":"education","lineage":["https://openalex.org/I4210141039","https://openalex.org/I99041443"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Mahdi Ghafoori","raw_affiliation_strings":["Mississippi State Univ","Univ. of Southern Mississippi"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mississippi State Univ","institution_ids":["https://openalex.org/I99041443"]},{"raw_affiliation_string":"Univ. of Southern Mississippi","institution_ids":["https://openalex.org/I44854399"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040365812","display_name":"Mirsalar Kamari","orcid":"https://orcid.org/0000-0001-9215-6034","observed_orcids":["https://orcid.org/0000-0001-9215-6034"]},"institutions":[{"id":"https://openalex.org/I44854399","display_name":"University of Southern Mississippi","ror":"https://ror.org/0270vfa57","country_code":"US","type":"education","lineage":["https://openalex.org/I4210141039","https://openalex.org/I44854399"]},{"id":"https://openalex.org/I99041443","display_name":"Mississippi State University","ror":"https://ror.org/0432jq872","country_code":"US","type":"education","lineage":["https://openalex.org/I4210141039","https://openalex.org/I99041443"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Mirsalar Kamari","raw_affiliation_strings":["Mississippi State Univ","Univ. of Southern Mississippi"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mississippi State Univ","institution_ids":["https://openalex.org/I99041443"]},{"raw_affiliation_string":"Univ. of Southern Mississippi","institution_ids":["https://openalex.org/I44854399"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077569649","display_name":"Mojtaba Parsaee","orcid":"https://orcid.org/0000-0003-1327-5460","observed_orcids":["https://orcid.org/0000-0003-1327-5460"]},"institutions":[{"id":"https://openalex.org/I44854399","display_name":"University of Southern Mississippi","ror":"https://ror.org/0270vfa57","country_code":"US","type":"education","lineage":["https://openalex.org/I4210141039","https://openalex.org/I44854399"]},{"id":"https://openalex.org/I99041443","display_name":"Mississippi State University","ror":"https://ror.org/0432jq872","country_code":"US","type":"education","lineage":["https://openalex.org/I4210141039","https://openalex.org/I99041443"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Mojtaba Parsaee","raw_affiliation_strings":["Mississippi State Univ","Univ. of Southern Mississippi"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mississippi State Univ","institution_ids":["https://openalex.org/I99041443"]},{"raw_affiliation_string":"Univ. of Southern Mississippi","institution_ids":["https://openalex.org/I44854399"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5093869503","display_name":"Afshin Hatami","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I44854399","display_name":"University of Southern Mississippi","ror":"https://ror.org/0270vfa57","country_code":"US","type":"education","lineage":["https://openalex.org/I4210141039","https://openalex.org/I44854399"]},{"id":"https://openalex.org/I99041443","display_name":"Mississippi State University","ror":"https://ror.org/0432jq872","country_code":"US","type":"education","lineage":["https://openalex.org/I4210141039","https://openalex.org/I99041443"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Afshin Hatami","raw_affiliation_strings":["Mississippi State Univ","Univ. of Southern Mississippi"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mississippi State Univ","institution_ids":["https://openalex.org/I99041443"]},{"raw_affiliation_string":"Univ. of Southern Mississippi","institution_ids":["https://openalex.org/I44854399"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5040365812","https://openalex.org/A5072236919","https://openalex.org/A5077569649","https://openalex.org/A5093869503"],"corresponding_institution_ids":["https://openalex.org/I44854399","https://openalex.org/I99041443"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"823","last_page":"832"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10534","display_name":"Structural Health Monitoring Techniques","score":0.9824000000953674,"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":0.9824000000953674,"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":0.016200000420212746,"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":0.0010999999940395355,"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/structural-health-monitoring","display_name":"structural health monitoring","score":0.8980000019073486},{"id":"https://openalex.org/keywords/bridges","display_name":"bridges","score":0.9570000171661377},{"id":"https://openalex.org/keywords/digital-twin","display_name":"digital twin","score":0.9990000128746033},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"artificial intelligence","score":0.9909999966621399},{"id":"https://openalex.org/keywords/damage-detection","display_name":"damage detection","score":0.9599999785423279},{"id":"https://openalex.org/keywords/degradation-prediction","display_name":"degradation prediction","score":0.9729999899864197},{"id":"https://openalex.org/keywords/condition-assessment","display_name":"condition assessment","score":0.8679999709129333},{"id":"https://openalex.org/keywords/performance-prediction","display_name":"performance prediction","score":0.765999972820282},{"id":"https://openalex.org/keywords/risk-based-decision-support","display_name":"risk-based decision support","score":0.9629999995231628},{"id":"https://openalex.org/keywords/multi-source-data-fusion","display_name":"multi-source data fusion","score":0.765999972820282},{"id":"https://openalex.org/keywords/sensor-networks","display_name":"sensor networks","score":0.7009999752044678},{"id":"https://openalex.org/keywords/deep-learning","display_name":"deep learning","score":0.765999972820282},{"id":"https://openalex.org/keywords/bridge-maintenance","display_name":"bridge maintenance","score":0.675000011920929},{"id":"https://openalex.org/keywords/explainability","display_name":"explainability","score":0.6639999747276306},{"id":"https://openalex.org/keywords/real-time-implementation","display_name":"real-time implementation","score":0.7519999742507935}],"concepts":[{"id":"https://openalex.org/C2776247918","wikidata":"https://www.wikidata.org/wiki/Q1423713","display_name":"Structural health monitoring","level":2,"score":0.767300009727478},{"id":"https://openalex.org/C100776233","wikidata":"https://www.wikidata.org/wiki/Q2532492","display_name":"Bridge (graph theory)","level":2,"score":0.7333999872207642},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.7272999882698059},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5419999957084656},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5242999792098999},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49000000953674316},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.44600000977516174},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43619999289512634},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.4271000027656555},{"id":"https://openalex.org/C107327155","wikidata":"https://www.wikidata.org/wiki/Q330268","display_name":"Decision support system","level":2,"score":0.38499999046325684},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.37450000643730164},{"id":"https://openalex.org/C157170001","wikidata":"https://www.wikidata.org/wiki/Q4781507","display_name":"Applications of artificial intelligence","level":2,"score":0.3635999858379364},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3506999909877777},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.33160001039505005},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.3231000006198883},{"id":"https://openalex.org/C26713055","wikidata":"https://www.wikidata.org/wiki/Q245962","display_name":"Implementation","level":2,"score":0.32109999656677246},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.31200000643730164},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2978000044822693},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.29679998755455017},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.28119999170303345},{"id":"https://openalex.org/C2780433410","wikidata":"https://www.wikidata.org/wiki/Q5276090","display_name":"Digital health","level":3,"score":0.2782999873161316},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.26080000400543213},{"id":"https://openalex.org/C2778012447","wikidata":"https://www.wikidata.org/wiki/Q1034415","display_name":"Scope (computer science)","level":2,"score":0.2572000026702881},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.2567000091075897},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.25279998779296875}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1061/9780784486979.079","doi":"https://doi.org/10.1061/9780784486979.079","is_oa":false,"landing_page_url":"https://doi.org/10.1061/9780784486979.079","pdf_url":null,"source":{"id":"https://openalex.org/S4363604722","display_name":"ASCE Construction Research Congress (CRC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Construction Research Congress 2026","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":1.0}],"study_designs":[{"display_name":"Systematic Review","id":"https://openalex.org/study-designs/systematic-review"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W3100090196","https://openalex.org/W3201163885","https://openalex.org/W4320201977","https://openalex.org/W4385293524","https://openalex.org/W4386881070","https://openalex.org/W4392045590","https://openalex.org/W4392161864","https://openalex.org/W4407225966","https://openalex.org/W4408010764","https://openalex.org/W4409310266","https://openalex.org/W4409542975","https://openalex.org/W4409883562","https://openalex.org/W4409915032","https://openalex.org/W4412345783","https://openalex.org/W4412687909"],"related_works":["https://openalex.org/W7143370855","https://openalex.org/W7140534294","https://openalex.org/W7170139890","https://openalex.org/W4292261601","https://openalex.org/W4414715371","https://openalex.org/W7203675364","https://openalex.org/W4415282751","https://openalex.org/W4408173188","https://openalex.org/W7126247625","https://openalex.org/W7202276083"],"abstract_inverted_index":{"Bridges":[0],"are":[1,78],"critical":[2,125],"components":[3],"of":[4,67],"transportation":[5],"infrastructure":[6],"and":[7,18,34,56,98,117,119,122,140],"require":[8],"continuous":[9,30],"structural":[10],"health":[11],"monitoring":[12],"(SHM)":[13],"to":[14,48,129,137,159],"ensure":[15],"safety,":[16],"functionality,":[17],"long-term":[19],"performance.":[20],"Digital":[21],"twins":[22],"(DTs)":[23],"have":[24],"emerged":[25],"as":[26],"powerful":[27],"tools":[28],"for":[29,73,165],"monitoring,":[31],"risk":[32],"assessment,":[33,95],"decision":[35,100],"support.":[36],"When":[37],"combined":[38],"with":[39],"Artificial":[40],"Intelligence":[41],"(AI)":[42],"techniques,":[43],"DTs":[44],"gain":[45],"enhanced":[46],"capabilities":[47],"autonomously":[49],"detect":[50],"anomalies,":[51],"predict":[52],"deterioration,":[53],"optimize":[54],"maintenance,":[55],"simulate":[57],"extreme":[58],"scenarios.":[59],"This":[60],"paper":[61],"presents":[62],"a":[63],"systematic":[64],"literature":[65],"review":[66],"AI":[68],"applications":[69,84],"within":[70],"DT":[71,83,152],"frameworks":[72],"bridge":[74,167],"SHM.":[75],"The":[76,143],"objectives":[77],"to:":[79],"(1)":[80],"classify":[81],"AI-driven":[82],"based":[85],"on":[86],"their":[87],"roles":[88],"in":[89,105],"modeling,":[90],"damage":[91],"detection,":[92],"prediction,":[93],"condition":[94],"performance":[96],"forecasting,":[97],"risk-based":[99],"support;":[101],"(2)":[102],"analyze":[103],"challenges":[104],"integrating":[106],"heterogeneous":[107],"data":[108,134],"sources,":[109],"including":[110],"sensor":[111],"networks,":[112,139],"inspection":[113],"data,":[114],"simulation":[115],"results,":[116],"traffic":[118],"environmental":[120],"measurements;":[121],"(3)":[123],"identify":[124],"research":[126],"gaps":[127],"related":[128],"real-time":[130],"implementation,":[131],"explainability,":[132],"multi-source":[133],"fusion,":[135],"scalability":[136],"multi-bridge":[138],"field":[141],"validation.":[142],"findings":[144],"indicate":[145],"that":[146],"deep":[147],"learning":[148],"techniques":[149],"dominate":[150],"AI-enabled":[151],"frameworks,":[153],"but":[154],"most":[155],"implementations":[156],"remain":[157],"limited":[158],"single-bridge":[160],"studies,":[161],"restricting":[162],"real-world":[163],"deployment":[164],"proactive":[166],"management.":[168]},"counts_by_year":[],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2026-08-28T00:00:00"}