{"id":"https://openalex.org/W4200376020","doi":"https://doi.org/10.3390/sym13122293","title":"Case Study of Deep Learning Model of Temperature-Induced Deflection of a Cable-Stayed Bridge Driven by Data Knowledge","display_name":"Case Study of Deep Learning Model of Temperature-Induced Deflection of a Cable-Stayed Bridge Driven by Data Knowledge","publication_year":2021,"publication_date":"2021-12-02","ids":{"openalex":"https://openalex.org/W4200376020","doi":"https://doi.org/10.3390/sym13122293"},"language":"en","primary_location":{"id":"doi:10.3390/sym13122293","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym13122293","pdf_url":"https://www.mdpi.com/2073-8994/13/12/2293/pdf?version=1638417995","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2073-8994/13/12/2293/pdf?version=1638417995","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5060911279","display_name":"Zixiang Yue","orcid":"https://orcid.org/0000-0001-5201-797X"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zixiang Yue","raw_affiliation_strings":["Key Laboratory of Concrete and Prestressed Concrete Structures of the Ministry of Education, Southeast University, Nanjing 210096, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Concrete and Prestressed Concrete Structures of the Ministry of Education, Southeast University, Nanjing 210096, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091695712","display_name":"Youliang Ding","orcid":"https://orcid.org/0000-0002-0774-426X"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Youliang Ding","raw_affiliation_strings":["Key Laboratory of Concrete and Prestressed Concrete Structures of the Ministry of Education, Southeast University, Nanjing 210096, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Concrete and Prestressed Concrete Structures of the Ministry of Education, Southeast University, Nanjing 210096, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091382655","display_name":"Hanwei Zhao","orcid":"https://orcid.org/0000-0002-7622-7784"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hanwei Zhao","raw_affiliation_strings":["Key Laboratory of Concrete and Prestressed Concrete Structures of the Ministry of Education, Southeast University, Nanjing 210096, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Concrete and Prestressed Concrete Structures of the Ministry of Education, Southeast University, Nanjing 210096, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100362844","display_name":"Zhiwen Wang","orcid":"https://orcid.org/0000-0002-4758-3456"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhiwen Wang","raw_affiliation_strings":["Shenzhen Express Engineering Consulting Co., Ltd., Shenzhen 518000, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen Express Engineering Consulting Co., Ltd., Shenzhen 518000, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5091695712"],"corresponding_institution_ids":["https://openalex.org/I76569877"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2165},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2165},"fwci":2.2843,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.87435561,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"13","issue":"12","first_page":"2293","last_page":"2293"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10534","display_name":"Structural Health Monitoring Techniques","score":0.9993000030517578,"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":0.9993000030517578,"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":0.9850000143051147,"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/T11850","display_name":"Concrete Corrosion and Durability","score":0.9564999938011169,"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/deflection","display_name":"Deflection (physics)","score":0.8194509744644165},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6699312925338745},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6648448705673218},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5968726277351379},{"id":"https://openalex.org/keywords/girder-bridge","display_name":"Girder bridge","score":0.5667677521705627},{"id":"https://openalex.org/keywords/girder","display_name":"Girder","score":0.5324177742004395},{"id":"https://openalex.org/keywords/bridge","display_name":"Bridge (graph theory)","score":0.49982476234436035},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.497236043214798},{"id":"https://openalex.org/keywords/structural-engineering","display_name":"Structural engineering","score":0.45118552446365356},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2709401845932007}],"concepts":[{"id":"https://openalex.org/C2781355719","wikidata":"https://www.wikidata.org/wiki/Q2080698","display_name":"Deflection (physics)","level":2,"score":0.8194509744644165},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6699312925338745},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6648448705673218},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5968726277351379},{"id":"https://openalex.org/C2993185017","wikidata":"https://www.wikidata.org/wiki/Q1055465","display_name":"Girder bridge","level":3,"score":0.5667677521705627},{"id":"https://openalex.org/C196316656","wikidata":"https://www.wikidata.org/wiki/Q1371480","display_name":"Girder","level":2,"score":0.5324177742004395},{"id":"https://openalex.org/C100776233","wikidata":"https://www.wikidata.org/wiki/Q2532492","display_name":"Bridge (graph theory)","level":2,"score":0.49982476234436035},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.497236043214798},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.45118552446365356},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2709401845932007},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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:10.3390/sym13122293","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym13122293","pdf_url":"https://www.mdpi.com/2073-8994/13/12/2293/pdf?version=1638417995","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:79cfa11f2699480b8a0b4b87c5727cb5","is_oa":true,"landing_page_url":"https://doaj.org/article/79cfa11f2699480b8a0b4b87c5727cb5","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Symmetry, Vol 13, Iss 12, p 2293 (2021)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2073-8994/13/12/2293/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/sym13122293","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Symmetry","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/sym13122293","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym13122293","pdf_url":"https://www.mdpi.com/2073-8994/13/12/2293/pdf?version=1638417995","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.4399999976158142}],"awards":[{"id":"https://openalex.org/G7316472913","display_name":null,"funder_award_id":"51978154, 52008099, and 51608258","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4200376020.pdf","grobid_xml":"https://content.openalex.org/works/W4200376020.grobid-xml"},"referenced_works_count":25,"referenced_works":["https://openalex.org/W1994585000","https://openalex.org/W2016589492","https://openalex.org/W2048586296","https://openalex.org/W2057426891","https://openalex.org/W2085899600","https://openalex.org/W2093733173","https://openalex.org/W2605438564","https://openalex.org/W2793888044","https://openalex.org/W2883709788","https://openalex.org/W2890473772","https://openalex.org/W2952644710","https://openalex.org/W2994100438","https://openalex.org/W3040462317","https://openalex.org/W3042445746","https://openalex.org/W3043251231","https://openalex.org/W3048824092","https://openalex.org/W3110842754","https://openalex.org/W3161366266","https://openalex.org/W3198853948","https://openalex.org/W3205893988","https://openalex.org/W3214721540","https://openalex.org/W6648875829","https://openalex.org/W6664508665","https://openalex.org/W6780582550","https://openalex.org/W6803907883"],"related_works":["https://openalex.org/W2394383508","https://openalex.org/W2353005544","https://openalex.org/W2210748114","https://openalex.org/W753889395","https://openalex.org/W2384137174","https://openalex.org/W2391497550","https://openalex.org/W4240169156","https://openalex.org/W2388524498","https://openalex.org/W2354320859","https://openalex.org/W2358059092"],"abstract_inverted_index":{"A":[0],"cable-stayed":[1,22],"bridge":[2,23,47,232,235],"is":[3,39,74,77,137,160,165,180,191,199,216],"a":[4,21,43,63,81,228],"typical":[5],"symmetrical":[6],"structure,":[7],"and":[8,53,71,208],"symmetry":[9],"affects":[10],"the":[11,29,51,58,66,86,97,103,110,115,119,146,153,157,162,171,176,183,188,193,218],"deformation":[12,233],"characteristics":[13],"of":[14,20,31,36,62,118,148,156,169,196,205,231],"such":[15],"bridges.":[16],"The":[17,33,89,132,222],"main":[18,158],"girder":[19,87,159],"will":[24],"produce":[25],"obvious":[26],"deflection":[27,38,54,73],"under":[28],"inducement":[30],"temperature.":[32,88],"regression":[34],"model":[35,68,83,198,207,225],"temperature-induced":[37,72],"hoped":[40],"to":[41,79,113,144],"provide":[42,227],"comparison":[44,229],"value":[45,230],"for":[46,130,234],"evaluation.":[48],"Based":[49],"on":[50,93],"temperature":[52,70,90,155,184],"data":[55],"obtained":[56],"by":[57,85,187],"health":[59],"monitoring":[60],"system":[61],"bridge,":[64],"establishing":[65],"correlation":[67],"between":[69],"meaningful.":[75],"It":[76],"difficult":[78],"complete":[80],"high-quality":[82],"only":[84,152,200],"features":[91],"based":[92],"prior":[94,189],"knowledge":[95,190,212],"from":[96],"mechanical":[98],"mechanism":[99],"are":[100],"used":[101],"as":[102],"input":[104],"information":[105,185],"in":[106],"this":[107,121],"paper.":[108],"At":[109],"same":[111],"time,":[112],"strengthen":[114],"nonlinear":[116],"ability":[117],"model,":[120],"paper":[122],"selects":[123],"an":[124],"independent":[125],"recurrent":[126],"neural":[127,135,142],"network":[128,136,174,179],"(IndRNN)":[129],"modeling.":[131],"deep":[133,149,172,214,223],"learning":[134,141,173,178,215,224],"compared":[138],"with":[139,213],"machine":[140,177],"networks":[143],"prove":[145],"advancement":[147],"learning.":[150],"When":[151,182],"average":[154,194],"input,":[161,192],"calculation":[163],"accuracy":[164],"not":[166],"high":[167],"regardless":[168],"whether":[170],"or":[175],"used.":[181],"extracted":[186],"error":[195],"IndRNN":[197],"2.53%,":[201],"less":[202],"than":[203],"those":[204],"BPNN":[206],"traditional":[209],"RNN.":[210],"Combining":[211],"undoubtedly":[217],"best":[219],"modeling":[220],"scheme.":[221],"can":[226],"management.":[236]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":4}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
