{"id":"https://openalex.org/W4394864419","doi":"https://doi.org/10.1145/3650215.3650358","title":"Study on eccentric compression performance of carbon fiber reinforced concrete columns based on machine learning","display_name":"Study on eccentric compression performance of carbon fiber reinforced concrete columns based on machine learning","publication_year":2023,"publication_date":"2023-10-27","ids":{"openalex":"https://openalex.org/W4394864419","doi":"https://doi.org/10.1145/3650215.3650358"},"language":"en","primary_location":{"id":"doi:10.1145/3650215.3650358","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3650215.3650358","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 4th International Conference on Machine Learning and Computer Application","raw_type":"proceedings-article"},"type":"article","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/A5029191270","display_name":"Tianbei Kang","orcid":"https://orcid.org/0000-0002-6928-7332"},"institutions":[{"id":"https://openalex.org/I83714178","display_name":"Shenyang Jianzhu University","ror":"https://ror.org/01zr73v18","country_code":"CN","type":"education","lineage":["https://openalex.org/I83714178"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Tianbei Kang","raw_affiliation_strings":["School of Civil Engineering, Shenyang Jianzhu University, China"],"affiliations":[{"raw_affiliation_string":"School of Civil Engineering, Shenyang Jianzhu University, China","institution_ids":["https://openalex.org/I83714178"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102892881","display_name":"Qingxin Lai","orcid":"https://orcid.org/0009-0006-9704-6161"},"institutions":[{"id":"https://openalex.org/I83714178","display_name":"Shenyang Jianzhu University","ror":"https://ror.org/01zr73v18","country_code":"CN","type":"education","lineage":["https://openalex.org/I83714178"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingxin Lai","raw_affiliation_strings":["School of Civil Engineering, Shenyang Jianzhu University, China"],"affiliations":[{"raw_affiliation_string":"School of Civil Engineering, Shenyang Jianzhu University, China","institution_ids":["https://openalex.org/I83714178"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007567182","display_name":"Jiaxin Zhang","orcid":"https://orcid.org/0009-0008-2582-8222"},"institutions":[{"id":"https://openalex.org/I83714178","display_name":"Shenyang Jianzhu University","ror":"https://ror.org/01zr73v18","country_code":"CN","type":"education","lineage":["https://openalex.org/I83714178"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaxin Zhang","raw_affiliation_strings":["School of Civil Engineering, Shenyang Jianzhu University, China"],"affiliations":[{"raw_affiliation_string":"School of Civil Engineering, Shenyang Jianzhu University, China","institution_ids":["https://openalex.org/I83714178"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056636596","display_name":"J Zhou","orcid":"https://orcid.org/0009-0009-1641-691X"},"institutions":[{"id":"https://openalex.org/I83714178","display_name":"Shenyang Jianzhu University","ror":"https://ror.org/01zr73v18","country_code":"CN","type":"education","lineage":["https://openalex.org/I83714178"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinghai Zhou","raw_affiliation_strings":["Green and Livable Rural Construction Institute, Shenyang Jianzhu University, China"],"affiliations":[{"raw_affiliation_string":"Green and Livable Rural Construction Institute, Shenyang Jianzhu University, China","institution_ids":["https://openalex.org/I83714178"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5029191270"],"corresponding_institution_ids":["https://openalex.org/I83714178"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.24240255,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"820","last_page":"824"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10479","display_name":"Structural Behavior of Reinforced Concrete","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T10479","display_name":"Structural Behavior of Reinforced Concrete","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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":0.9739000201225281,"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/T10687","display_name":"Innovative concrete reinforcement materials","score":0.9545000195503235,"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/reinforced-concrete","display_name":"Reinforced concrete","score":0.6186843514442444},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.599347710609436},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5745840668678284},{"id":"https://openalex.org/keywords/carbon-fiber-reinforced-polymer","display_name":"Carbon fiber reinforced polymer","score":0.5330843925476074},{"id":"https://openalex.org/keywords/test-data","display_name":"Test data","score":0.5088265538215637},{"id":"https://openalex.org/keywords/structural-engineering","display_name":"Structural engineering","score":0.4940519630908966},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48536217212677},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.39142799377441406},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38218244910240173},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3322725296020508},{"id":"https://openalex.org/keywords/composite-material","display_name":"Composite material","score":0.32036787271499634},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.18370044231414795}],"concepts":[{"id":"https://openalex.org/C2988805333","wikidata":"https://www.wikidata.org/wiki/Q184190","display_name":"Reinforced concrete","level":2,"score":0.6186843514442444},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.599347710609436},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5745840668678284},{"id":"https://openalex.org/C2777178879","wikidata":"https://www.wikidata.org/wiki/Q910977","display_name":"Carbon fiber reinforced polymer","level":3,"score":0.5330843925476074},{"id":"https://openalex.org/C16910744","wikidata":"https://www.wikidata.org/wiki/Q7705759","display_name":"Test data","level":2,"score":0.5088265538215637},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.4940519630908966},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48536217212677},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.39142799377441406},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38218244910240173},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3322725296020508},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.32036787271499634},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.18370044231414795},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3650215.3650358","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3650215.3650358","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 4th International Conference on Machine Learning and Computer Application","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.5799999833106995,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":2,"referenced_works":["https://openalex.org/W1480685784","https://openalex.org/W2045637536"],"related_works":["https://openalex.org/W2090763504","https://openalex.org/W148178222","https://openalex.org/W2104657898","https://openalex.org/W1948992892","https://openalex.org/W3147630866","https://openalex.org/W2348060772","https://openalex.org/W2328303466","https://openalex.org/W2348002534","https://openalex.org/W630848881","https://openalex.org/W2767741877"],"abstract_inverted_index":{"The":[0],"CFRP":[1,102,125,150],"(Carbon":[2],"Fiber":[3],"Reinforced":[4],"Polymer":[5],"Composites)":[6],"reinforced":[7,103,126,151],"concrete":[8,104,127,152],"columns":[9,105,128,153],"have":[10],"different":[11],"characteristics,":[12],"and":[13,71,88,137,156],"the":[14,40,74,98,110,120,133,141,145,163],"stress":[15],"analysis":[16],"under":[17,106],"load":[18],"is":[19],"complex,":[20],"which":[21],"makes":[22],"it":[23,89],"difficult":[24],"to":[25,45,61,161],"establish":[26],"a":[27],"theoretical":[28],"model.":[29],"In":[30,73],"recent":[31],"years,":[32],"machine":[33,64,93,116],"learning":[34,65,94,117],"has":[35],"been":[36],"widely":[37],"applied":[38],"in":[39,118,165],"field":[41],"of":[42,58,101,112,115,124,149],"civil":[43],"engineering":[44],"solve":[46],"nonlinear":[47],"problems.":[48],"This":[49],"article":[50],"first":[51],"used":[52,160],"experimental":[53],"data":[54,164],"from":[55],"91":[56],"groups":[57],"related":[59],"literature":[60],"train":[62],"four":[63,113,157],"models,":[66],"namely":[67],"BPNN,":[68,77],"POS-BPNN,":[69],"SVM,":[70,79],"RFR,":[72],"test":[75],"set,":[76],"PSO-BPNN,":[78],"RFR":[80],"fitting":[81],"precision":[82],"were":[83],"0.8295,":[84],"0.9747,":[85],"0.9667,":[86],"0.7634,":[87],"was":[90,129],"found":[91],"that":[92],"can":[95],"better":[96],"predict":[97,162],"mechanical":[99],"performance":[100,123],"eccentric":[107,121,146],"compression.":[108],"Then,":[109],"feasibility":[111],"types":[114],"predicting":[119],"compression":[122],"evaluated":[130],"by":[131],"evaluating":[132],"relationship":[134],"between":[135],"predicted":[136],"measured":[138],"values.":[139],"Finally,":[140],"main":[142],"factors":[143],"affecting":[144],"bearing":[147],"capacity":[148],"are":[154,159],"ranked,":[155],"models":[158],"reference":[166],"[4].":[167]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
