{"id":"https://openalex.org/W4388820028","doi":"https://doi.org/10.1109/access.2023.3334628","title":"Civil Engineering Structural Damage Identification by Integrating Benchmark Numerical Model and PCNN Network","display_name":"Civil Engineering Structural Damage Identification by Integrating Benchmark Numerical Model and PCNN Network","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4388820028","doi":"https://doi.org/10.1109/access.2023.3334628"},"language":"en","primary_location":{"id":"doi:10.1109/access.2023.3334628","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3334628","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10322875.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10322875.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5013638375","display_name":"Yu Qiu","orcid":"https://orcid.org/0000-0002-1731-7317"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yu Qiu","raw_affiliation_strings":["Ural International Rail Transit College, Shandong Polytechnic, Jinan, China","Ural International Rail Transit College, Shandong Polytechnic, Ji'nan, 250104 China"],"affiliations":[{"raw_affiliation_string":"Ural International Rail Transit College, Shandong Polytechnic, Jinan, China","institution_ids":[]},{"raw_affiliation_string":"Ural International Rail Transit College, Shandong Polytechnic, Ji'nan, 250104 China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5092129917","display_name":"Zhifeng Zhang","orcid":"https://orcid.org/0009-0003-8295-582X"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Zhifeng Zhang","raw_affiliation_strings":["Ural International Rail Transit College, Shandong Polytechnic, Jinan, China","Ural International Rail Transit College, Shandong Polytechnic, Ji'nan, 250104 China"],"affiliations":[{"raw_affiliation_string":"Ural International Rail Transit College, Shandong Polytechnic, Jinan, China","institution_ids":[]},{"raw_affiliation_string":"Ural International Rail Transit College, Shandong Polytechnic, Ji'nan, 250104 China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5092129917"],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.6082,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.65265822,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"11","issue":null,"first_page":"130815","last_page":"130827"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9976000189781189,"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/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9976000189781189,"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/T10534","display_name":"Structural Health Monitoring Techniques","score":0.9962000250816345,"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/T10809","display_name":"Occupational Health and Safety Research","score":0.9164999723434448,"subfield":{"id":"https://openalex.org/subfields/3614","display_name":"Radiological and Ultrasound Technology"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7044532299041748},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6537601351737976},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6487278342247009},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4936145544052124},{"id":"https://openalex.org/keywords/structural-health-monitoring","display_name":"Structural health monitoring","score":0.49316877126693726},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4821869432926178},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.4795770049095154},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.44833287596702576},{"id":"https://openalex.org/keywords/feature-engineering","display_name":"Feature engineering","score":0.42936277389526367},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4167574644088745},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4103461802005768},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32656773924827576},{"id":"https://openalex.org/keywords/structural-engineering","display_name":"Structural engineering","score":0.3119082748889923},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.19957175850868225}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7044532299041748},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6537601351737976},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6487278342247009},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4936145544052124},{"id":"https://openalex.org/C2776247918","wikidata":"https://www.wikidata.org/wiki/Q1423713","display_name":"Structural health monitoring","level":2,"score":0.49316877126693726},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4821869432926178},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.4795770049095154},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.44833287596702576},{"id":"https://openalex.org/C2778827112","wikidata":"https://www.wikidata.org/wiki/Q22245680","display_name":"Feature engineering","level":3,"score":0.42936277389526367},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4167574644088745},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4103461802005768},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32656773924827576},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.3119082748889923},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.19957175850868225},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2023.3334628","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3334628","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10322875.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:1e29f17e8ad6492bae6b845e138731e6","is_oa":true,"landing_page_url":"https://doaj.org/article/1e29f17e8ad6492bae6b845e138731e6","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","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 11, Pp 130815-130827 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2023.3334628","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3334628","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10322875.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.5600000023841858,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4388820028.pdf","grobid_xml":"https://content.openalex.org/works/W4388820028.grobid-xml"},"referenced_works_count":27,"referenced_works":["https://openalex.org/W2896568470","https://openalex.org/W2912581517","https://openalex.org/W2927459597","https://openalex.org/W2932363633","https://openalex.org/W2941131712","https://openalex.org/W2974053352","https://openalex.org/W2992372985","https://openalex.org/W3022149848","https://openalex.org/W3043635082","https://openalex.org/W3046691263","https://openalex.org/W3047831610","https://openalex.org/W3082986241","https://openalex.org/W3118836180","https://openalex.org/W3132284141","https://openalex.org/W3134457240","https://openalex.org/W3189729288","https://openalex.org/W3203548333","https://openalex.org/W4214789103","https://openalex.org/W4220663713","https://openalex.org/W4224311401","https://openalex.org/W4226098341","https://openalex.org/W4250582451","https://openalex.org/W4250890309","https://openalex.org/W4280638902","https://openalex.org/W4308500886","https://openalex.org/W4310253114","https://openalex.org/W6782835615"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W2745001401","https://openalex.org/W4321353415","https://openalex.org/W2130974462","https://openalex.org/W2028665553","https://openalex.org/W2086519370","https://openalex.org/W972276598","https://openalex.org/W2087343574","https://openalex.org/W2010811249","https://openalex.org/W2965782936"],"abstract_inverted_index":{"Strengthening":[0],"the":[1,15,29,39,47,58,71,99,111,118,123,130,134,138,209,235],"real-time":[2],"and":[3,17,37,42,65,95,147,165,171,206,214,223,228],"accurate":[4],"identification":[5,121],"of":[6,10,20,31,44,101,120,125,186,211,237],"civil":[7,21,32,126,220,238],"structures":[8],"is":[9,68],"great":[11],"significance":[12,207],"for":[13,189,208,230],"ensuring":[14,98],"safety":[16],"service":[18],"life":[19],"engineering":[22,221],"projects.":[23],"Therefore,":[24],"in":[25,35,122,219],"order":[26],"to":[27,50,75,88,106,233],"reduce":[28],"incidence":[30],"structural":[33,77,190,212],"accidents":[34],"buildings":[36],"improve":[38,117],"safety,":[40],"availability,":[41],"integrity":[43],"building":[45],"structures,":[46],"study":[48,234],"plans":[49,218],"adopt":[51],"deep":[52],"learning":[53],"methods.":[54],"In":[55],"this":[56],"study,":[57],"parallel":[59,86],"Convolutional":[60],"neural":[61],"network":[62,80,139],"covering":[63],"one-dimensional":[64],"two-dimensional":[66],"features":[67,91],"combined":[69],"with":[70],"Benchmark":[72,112],"numerical":[73,113],"model":[74,114],"identify":[76],"damage.":[78],"This":[79,198],"structure":[81,140],"can":[82,115,141,153,201],"effectively":[83,116,142,202],"utilize":[84],"two":[85],"branches":[87],"extract":[89,143],"response":[90],"at":[92],"different":[93],"scales":[94],"time":[96],"domains,":[97],"coverage":[100],"damage":[102,144,158,195],"feature":[103],"recognition":[104,184,196],"content":[105],"a":[107,183],"certain":[108],"extent.":[109],"And":[110],"visualization":[119],"simulation":[124],"structures.":[127],"By":[128],"testing":[129],"fusion":[131,180,199],"algorithm":[132,181,200],"model,":[133],"results":[135],"show":[136],"that":[137],"signal":[145],"features,":[146],"its":[148],"minimum":[149],"classification":[150],"loss":[151],"value":[152,205],"approach":[154],"0.01;":[155],"The":[156,179],"maximum":[157],"indicators":[159],"on":[160],"connecting":[161],"beams,":[162,164],"frame":[163],"shear":[166],"walls":[167],"reached":[168],"0.472,":[169],"0.117,":[170],"0.055,":[172],"far":[173],"higher":[174],"than":[175],"other":[176],"comparative":[177],"algorithms.":[178],"has":[182],"accuracy":[185],"over":[187],"85%":[188],"joint":[191],"damage,":[192],"showing":[193],"good":[194],"performance.":[197],"provide":[203,225],"reference":[204],"development":[210],"inspection":[213],"related":[215],"risk":[216],"prevention":[217],"projects,":[222],"also":[224],"new":[226],"ideas":[227],"possibilities":[229],"relevant":[231],"researchers":[232],"field":[236],"engineering.":[239]},"counts_by_year":[{"year":2025,"cited_by_count":4}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}