{"id":"https://openalex.org/W1980313207","doi":"https://doi.org/10.12989/sss.2015.15.2.395","title":"A Bayesian approach for vibration-based long-term bridge monitoring to consider environmental and operational changes","display_name":"A Bayesian approach for vibration-based long-term bridge monitoring to consider environmental and operational changes","publication_year":2015,"publication_date":"2015-02-25","ids":{"openalex":"https://openalex.org/W1980313207","doi":"https://doi.org/10.12989/sss.2015.15.2.395","mag":"1980313207"},"language":"en","primary_location":{"id":"doi:10.12989/sss.2015.15.2.395","doi":"https://doi.org/10.12989/sss.2015.15.2.395","is_oa":false,"landing_page_url":"https://doi.org/10.12989/sss.2015.15.2.395","pdf_url":null,"source":{"id":"https://openalex.org/S13034552","display_name":"Smart Structures and Systems","issn_l":"1738-1584","issn":["1738-1584","1738-1991"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","dongbi-b","jufo-1","norway-1","poland-70","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310314632","host_organization_name":"Technopress","host_organization_lineage":["https://openalex.org/P4310314632"],"host_organization_lineage_names":["Technopress"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Smart Structures and Systems","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://repository.kulib.kyoto-u.ac.jp/bitstreams/3ee95058-73a9-4648-a36a-0c55ca8b4b42/download","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100777098","display_name":"Chul\u2010Woo Kim","orcid":"https://orcid.org/0000-0002-2727-6037","observed_orcids":["https://orcid.org/0000-0002-2727-6037"]},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Chul-Woo Kim","raw_affiliation_strings":["Kyoto univ"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kyoto univ","institution_ids":["https://openalex.org/I22299242"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Tomoaki Morita","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tomoaki Morita","raw_affiliation_strings":["Kyoto univ"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kyoto univ","institution_ids":["https://openalex.org/I22299242"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112080495","display_name":"Yoshinobu Oshima","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yoshinobu Oshima","raw_affiliation_strings":["Kyoto univ"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kyoto univ","institution_ids":["https://openalex.org/I22299242"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006093974","display_name":"Kunitomo Sugiura","orcid":"https://orcid.org/0000-0002-2519-9744","observed_orcids":["https://orcid.org/0000-0002-2519-9744"]},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kunitomo Sugiura","raw_affiliation_strings":["Kyoto univ"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kyoto univ","institution_ids":["https://openalex.org/I22299242"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I22299242"],"apc_list":null,"apc_paid":null,"fwci":1.992,"has_fulltext":true,"cited_by_count":14,"citation_normalized_percentile":{"value":0.8604385,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":96},"biblio":{"volume":"15","issue":"2","first_page":"395","last_page":"408"},"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/T12487","display_name":"Structural Engineering and Vibration Analysis","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"}},{"id":"https://openalex.org/T14304","display_name":"Transport Systems and Technology","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-structural-health-monitoring","display_name":"bridge health monitoring","score":0.8650000095367432},{"id":"https://openalex.org/keywords/vibration-based-damage-detection","display_name":"vibration-based damage detection","score":0.8040000200271606},{"id":"https://openalex.org/keywords/bayesian-regression","display_name":"Bayesian regression","score":0.9639999866485596},{"id":"https://openalex.org/keywords/temperature-effects","display_name":"temperature effects","score":0.902999997138977},{"id":"https://openalex.org/keywords/autoregressive-models","display_name":"autoregressive models","score":0.8259999752044678},{"id":"https://openalex.org/keywords/damage-sensitive-features","display_name":"damage-sensitive features","score":0.984000027179718},{"id":"https://openalex.org/keywords/bayesian-hypothesis-testing","display_name":"Bayesian hypothesis testing","score":0.9649999737739563},{"id":"https://openalex.org/keywords/long-term-structural-monitoring","display_name":"long-term structural monitoring","score":0.6230000257492065},{"id":"https://openalex.org/keywords/bridge-acceleration","display_name":"bridge acceleration","score":0.5370000004768372}],"concepts":[{"id":"https://openalex.org/C100776233","wikidata":"https://www.wikidata.org/wiki/Q2532492","display_name":"Bridge (graph theory)","level":2,"score":0.8266547918319702},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.7715790271759033},{"id":"https://openalex.org/C37903108","wikidata":"https://www.wikidata.org/wiki/Q4874474","display_name":"Bayesian linear regression","level":4,"score":0.6306518316268921},{"id":"https://openalex.org/C2776247918","wikidata":"https://www.wikidata.org/wiki/Q1423713","display_name":"Structural health monitoring","level":2,"score":0.5591426491737366},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5224950909614563},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.5081272125244141},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.44488412141799927},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.4201432168483734},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35562342405319214},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3284040689468384},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.26482003927230835},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22400173544883728},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.20507237315177917},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"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/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.12989/sss.2015.15.2.395","doi":"https://doi.org/10.12989/sss.2015.15.2.395","is_oa":false,"landing_page_url":"https://doi.org/10.12989/sss.2015.15.2.395","pdf_url":null,"source":{"id":"https://openalex.org/S13034552","display_name":"Smart Structures and Systems","issn_l":"1738-1584","issn":["1738-1584","1738-1991"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","dongbi-b","jufo-1","norway-1","poland-70","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310314632","host_organization_name":"Technopress","host_organization_lineage":["https://openalex.org/P4310314632"],"host_organization_lineage_names":["Technopress"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Smart Structures and Systems","raw_type":"journal-article"},{"id":"pmh:oai:irdb.nii.ac.jp:01221:0003042671","doi":null,"is_oa":true,"landing_page_url":"https://repository.kulib.kyoto-u.ac.jp/bitstreams/3ee95058-73a9-4648-a36a-0c55ca8b4b42/download","pdf_url":"https://repository.kulib.kyoto-u.ac.jp/bitstreams/3ee95058-73a9-4648-a36a-0c55ca8b4b42/download","source":{"id":"https://openalex.org/S7407056385","display_name":"Institutional Repositories DataBase (IRDB)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I184597095","host_organization_name":"National Institute of Informatics","host_organization_lineage":["https://openalex.org/I184597095"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Smart Structures and Systems","raw_type":"journal article"},{"id":"pmh:oai:repository.kulib.kyoto-u.ac.jp:2433/236010","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/2433/236010","pdf_url":"https://repository.kulib.kyoto-u.ac.jp/dspace/bitstream/2433/236010/1/sss.2015.15.2.395.pdf","source":{"id":"https://openalex.org/S4306401454","display_name":"Kyoto University Research Information Repository (Kyoto University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I22299242","host_organization_name":"Kyoto University","host_organization_lineage":["https://openalex.org/I22299242"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"journal article"}],"best_oa_location":{"id":"pmh:oai:irdb.nii.ac.jp:01221:0003042671","doi":null,"is_oa":true,"landing_page_url":"https://repository.kulib.kyoto-u.ac.jp/bitstreams/3ee95058-73a9-4648-a36a-0c55ca8b4b42/download","pdf_url":"https://repository.kulib.kyoto-u.ac.jp/bitstreams/3ee95058-73a9-4648-a36a-0c55ca8b4b42/download","source":{"id":"https://openalex.org/S7407056385","display_name":"Institutional Repositories DataBase (IRDB)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I184597095","host_organization_name":"National Institute of Informatics","host_organization_lineage":["https://openalex.org/I184597095"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Smart Structures and Systems","raw_type":"journal article"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":1.0},{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.5142999887466431}],"study_designs":[],"awards":[{"id":"https://openalex.org/G2658933543","display_name":"Approaches for damage detection for short and medium span bridges by drive-by inspection and decision making system","funder_award_id":"24360178","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W1980313207.pdf","grobid_xml":"https://content.openalex.org/works/W1980313207.grobid-xml"},"referenced_works_count":18,"referenced_works":["https://openalex.org/W1517623310","https://openalex.org/W1524366283","https://openalex.org/W1925971948","https://openalex.org/W1965762199","https://openalex.org/W1966887825","https://openalex.org/W1986473042","https://openalex.org/W1993831661","https://openalex.org/W2035652711","https://openalex.org/W2045043487","https://openalex.org/W2067489005","https://openalex.org/W2073849754","https://openalex.org/W2100722180","https://openalex.org/W2142635246","https://openalex.org/W2151191842","https://openalex.org/W2152773144","https://openalex.org/W2155033980","https://openalex.org/W3182502286","https://openalex.org/W4211177544"],"related_works":["https://openalex.org/W2793696915","https://openalex.org/W2622178454","https://openalex.org/W2317388467","https://openalex.org/W7028198971","https://openalex.org/W2755963121","https://openalex.org/W3183302409","https://openalex.org/W4402481245","https://openalex.org/W2793774290","https://openalex.org/W2244958007","https://openalex.org/W3173774687"],"abstract_inverted_index":{"This":[0],"study":[1,129],"aims":[2],"to":[3,8,37,53,62,78,141],"propose":[4],"a":[5,55,80,123],"Bayesian":[6,28,72,104,133,154],"approach":[7,29,111],"consider":[9,63],"changes":[10,67,139],"in":[11],"temperature":[12],"and":[13,18,65,74,94,102,137,150],"vehicle":[14],"weight":[15],"as":[16,171],"environmental":[17,64,136,149],"operational":[19,66,138,151],"factors":[20],"for":[21],"vibration-based":[22],"long-term":[23],"bridge":[24,48,84,120,168],"health":[25,85],"monitoring.":[26],"The":[27,153],"consists":[30],"of":[31,43,58,70,108,166],"three":[32],"steps:":[33],"step":[34,50,75],"1":[35],"is":[36,52,77,112],"identify":[38],"damage-sensitive":[39,60,96],"features":[40,61],"from":[41,159],"coefficients":[42],"the":[44,59,71,83,92,103,109,128,132,160,163,167],"auto-regressive":[45],"model":[46],"utilizing":[47,98,114,157],"accelerations;":[49],"2":[51],"perform":[54],"regression":[56,134],"analysis":[57],"by":[68],"means":[69],"regression;":[73],"3":[76],"make":[79],"decision":[81],"on":[82,88,117],"condition":[86],"based":[87],"residuals,":[89],"differences":[90],"between":[91],"observed":[93],"predicted":[95],"features,":[97],"95%":[99],"confidence":[100],"interval":[101],"hypothesis":[105,155],"testing.":[106],"Feasibility":[107],"proposed":[110],"examined":[113],"monitoring":[115],"data":[116,158],"an":[118],"in-service":[119],"recorded":[121],"over":[122],"one-year":[124],"period.":[125],"Observations":[126],"through":[127],"demonstrated":[130],"that":[131,146],"considering":[135,148],"led":[140],"more":[142],"accurate":[143],"results":[144],"than":[145],"without":[147],"changes.":[152],"testing":[156],"healthy":[161],"bridge,":[162],"damage":[164],"probability":[165],"was":[169],"judged":[170],"no":[172],"damage.":[173]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2016-06-24T00:00:00"}
