{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,22]],"date-time":"2026-04-22T16:43:47Z","timestamp":1776876227244,"version":"3.51.2"},"reference-count":57,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["52278291"],"award-info":[{"award-number":["52278291"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["52508332"],"award-info":[{"award-number":["52508332"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U24A20163"],"award-info":[{"award-number":["U24A20163"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100019070","name":"Chongqing Research Program of Technological Innovation and Application Demonstration","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100019070","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100011317","name":"Chongqing Jiaotong University","doi-asserted-by":"publisher","award":["CYB25268"],"award-info":[{"award-number":["CYB25268"]}],"id":[{"id":"10.13039\/501100011317","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2024YFB2605700"],"award-info":[{"award-number":["2024YFB2605700"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Applied Soft Computing"],"published-print":{"date-parts":[[2026,7]]},"DOI":"10.1016\/j.asoc.2026.115161","type":"journal-article","created":{"date-parts":[[2026,3,31]],"date-time":"2026-03-31T04:06:32Z","timestamp":1774929992000},"page":"115161","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["A failure mode identification model for UHPC-strengthened damaged flexural RC beams based on generative adversarial networks and machine learning"],"prefix":"10.1016","volume":"197","author":[{"given":"Tianyu","family":"Hu","sequence":"first","affiliation":[]},{"given":"Hong","family":"Zhang","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8101-1806","authenticated-orcid":false,"given":"Junli","family":"Qiu","sequence":"additional","affiliation":[]},{"given":"Jiewei","family":"Qiu","sequence":"additional","affiliation":[]},{"given":"Jianting","family":"Zhou","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"key":"10.1016\/j.asoc.2026.115161_bib1","doi-asserted-by":"crossref","DOI":"10.1016\/j.conbuildmat.2024.135602","article-title":"Trends toward lower-carbon ultra-high performance concrete (UHPC)\u2013A review","volume":"420","author":"Zhang","year":"2024","journal-title":"Constr. Build. Mater."},{"key":"10.1016\/j.asoc.2026.115161_bib2","doi-asserted-by":"crossref","DOI":"10.1016\/j.cemconcomp.2023.105359","article-title":"Recent development of innovative steel fibers for u-ltra-high-performance concrete (UHPC): a critical review","volume":"145","author":"Yoo","year":"2024","journal-title":"Cem. Concr. Compos"},{"key":"10.1016\/j.asoc.2026.115161_bib3","doi-asserted-by":"crossref","DOI":"10.1016\/j.tws.2024.112592","article-title":"Thin-layer Ul-tra-High-Strength Engineered Cementitious Composites (UHS-ECC) reinforced with small-diameter FRP bars for structural strengthening","volume":"205","author":"Zhu","year":"2024","journal-title":"Thin Wall Struct."},{"key":"10.1016\/j.asoc.2026.115161_bib4","doi-asserted-by":"crossref","DOI":"10.1016\/j.tafmec.2025.104987","article-title":"Strain-hardening Ultra-High-Performance Concrete (SH-UHPC) with hybrid steel and poly-ethylene fibers: Enhanced tensile ductility at subzero temperatures","author":"Huang","year":"2025","journal-title":"Theor. Appl. Fr. -Act. Mech."},{"key":"10.1016\/j.asoc.2026.115161_bib5","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1080\/10168664.2025.2536099","article-title":"Design and Construction of a Novel Steel\u2013UHPC Truss Pedestrian Bridge in Guangdong Province, People\u2019s Rep-ublic of China","author":"Zhang","year":"2025","journal-title":"Struct. Eng. Int"},{"key":"10.1016\/j.asoc.2026.115161_bib6","doi-asserted-by":"crossref","DOI":"10.1016\/j.istruc.2024.106888","article-title":"The direct shear behavior of the ultra-high performance concrete-filled socket connections between t-he bridge piers and footings","volume":"66","author":"Jiang","year":"2024","journal-title":"Structures"},{"key":"10.1016\/j.asoc.2026.115161_bib7","article-title":"Flexural behavior and design of ultrahigh-performance concrete beams","volume":"148","author":"El-Helou","year":"2022","journal-title":"J. Struct. Eng."},{"key":"10.1016\/j.asoc.2026.115161_bib8","unstructured":"Haber Z.B., De la Varga I., Graybeal B.A. Properties and behavior of UHPC-class m-aterials. FHWA Report No. FHWA-HRT-18-036; 2018."},{"key":"10.1016\/j.asoc.2026.115161_bib9","doi-asserted-by":"crossref","DOI":"10.1016\/j.conbuildmat.2024.136889","article-title":"Experimental and simulative analysis of flexural performance in UHPC-RC hybrid beams","volume":"436","author":"Zhang","year":"2024","journal-title":"Constr. Build. Mater."},{"key":"10.1016\/j.asoc.2026.115161_bib10","doi-asserted-by":"crossref","first-page":"481","DOI":"10.1016\/j.conbuildmat.2016.07.033","article-title":"Acoustic emission and flexural behaviour of RC beams str-engthened with UHPC overlay","volume":"123","author":"Prem","year":"2016","journal-title":"Constr. Build. Mater."},{"key":"10.1016\/j.asoc.2026.115161_bib11","doi-asserted-by":"crossref","first-page":"670","DOI":"10.1016\/j.conbuildmat.2017.10.063","article-title":"Theoretical modelling and acoustic emission mo-nitoring of RC beams strengthened with UHPC","volume":"158","author":"Prem","year":"2018","journal-title":"Constr. Build. Mater."},{"key":"10.1016\/j.asoc.2026.115161_bib12","doi-asserted-by":"crossref","first-page":"607","DOI":"10.3846\/jcem.2018.6484","article-title":"Prediction of shear capacity of UHPC-concrete composit-e members based on existing codes","volume":"24","author":"Yin","year":"2018","journal-title":"J. Civ. Eng. Manag"},{"key":"10.1016\/j.asoc.2026.115161_bib13","doi-asserted-by":"crossref","DOI":"10.1061\/(ASCE)ST.1943-541X.0003080","article-title":"Gradual crushing of steel reinforced HPFRCC beams: Experiments and simulations","volume":"147","author":"Shao","year":"2021","journal-title":"J. Struct. Eng."},{"key":"10.1016\/j.asoc.2026.115161_bib14","doi-asserted-by":"crossref","DOI":"10.1016\/j.engstruct.2022.114251","article-title":"Experimental validation of damaged reinforced concrete beam strengthened by pretensioned prestressed ultra-hi-gh-performance concrete layer","volume":"260","author":"Zhang","year":"2022","journal-title":"Eng. Struct."},{"key":"10.1016\/j.asoc.2026.115161_bib15","doi-asserted-by":"crossref","first-page":"336","DOI":"10.1016\/j.istruc.2022.10.078","article-title":"Experimental and analytical study on the effect of different repairing and strengthening strategies on flexural performance of corroded RC beams","volume":"46","author":"Kharma","year":"2022","journal-title":"Structures"},{"key":"10.1016\/j.asoc.2026.115161_bib16","article-title":"Flexural performance of reinforced concrete (RC) beam stre-ngthened by UHPC layer","volume":"17","author":"Mirdan","year":"2022","journal-title":"Case Stud. Constr. Mater."},{"key":"10.1016\/j.asoc.2026.115161_bib17","doi-asserted-by":"crossref","first-page":"1772","DOI":"10.1016\/j.istruc.2023.01.077","article-title":"Flexural performance of pre-damaged RC beams strengthened with different config-urations of UHPFRC layer\u2013experimental and analytical investigation","volume":"48","author":"Ahmad","year":"2023","journal-title":"Structures"},{"key":"10.1016\/j.asoc.2026.115161_bib18","doi-asserted-by":"crossref","first-page":"370","DOI":"10.1016\/j.engstruct.2015.10.042","article-title":"Strengthening of reinfo-rced concrete beams using ultra high performance fibre reinforced concrete (UHPFRC)","volume":"106","author":"Lampropoulos","year":"2016","journal-title":"Eng. Struct."},{"key":"10.1016\/j.asoc.2026.115161_bib19","doi-asserted-by":"crossref","first-page":"279","DOI":"10.1016\/j.conbuildmat.2016.12.094","article-title":"Flexural behavior of reinforced concrete beams strengthened with ultra-high performance fiber reinforced concrete","volume":"134","author":"Al-Osta","year":"2017","journal-title":"Constr. Build. Mater."},{"key":"10.1016\/j.asoc.2026.115161_bib20","doi-asserted-by":"crossref","first-page":"448","DOI":"10.1016\/j.compstruct.2016.09.010","article-title":"Flexural behavior of reinforced concrete beams repaired with ultra-high performance fiber reinforced concrete (UHPFRC)","volume":"157","author":"Safdar","year":"2016","journal-title":"Com. -Pos. Struct."},{"key":"10.1016\/j.asoc.2026.115161_bib21","doi-asserted-by":"crossref","first-page":"815","DOI":"10.1016\/j.conbuildmat.2018.04.174","article-title":"Flexural behavior of RC beams retrofitted with ultra-high strength concrete","volume":"175","author":"Murthy","year":"2018","journal-title":"Constr. Build. Mater."},{"key":"10.1016\/j.asoc.2026.115161_bib22","doi-asserted-by":"crossref","first-page":"463","DOI":"10.1016\/j.conbuildmat.2017.08.077","article-title":"Experimental investigation on the behaviour of reinforce-d concrete slabs strengthened with ultra-high performance concrete","volume":"155","author":"Yin","year":"2017","journal-title":"Constr. Build. Mater."},{"key":"10.1016\/j.asoc.2026.115161_bib23","doi-asserted-by":"crossref","DOI":"10.1016\/j.cemconcomp.2022.104752","article-title":"Effect of overlay thickness, fiber volume, and shrinkage miti-gation on flexural behavior of thin bonded ultra-high-performance concrete overlay slab","volume":"134","author":"Teng","year":"2022","journal-title":"Cem. Concr. Compos"},{"key":"10.1016\/j.asoc.2026.115161_bib24","doi-asserted-by":"crossref","DOI":"10.1016\/j.engstruct.2022.114356","article-title":"Behaviour of RC beams s-trengthened in flexure with hybrid CFRP-reinforced UHPC overlays","volume":"262","author":"Kadhim","year":"2022","journal-title":"Eng. Struct."},{"key":"10.1016\/j.asoc.2026.115161_bib25","doi-asserted-by":"crossref","first-page":"174","DOI":"10.1061\/(ASCE)1090-0268(2003)7:3(174)","article-title":"Retrofitting of reinforced concrete beams with CARDIFRC","volume":"7","author":"Alaee","year":"2003","journal-title":"J. Compos Constr."},{"key":"10.1016\/j.asoc.2026.115161_bib26","doi-asserted-by":"crossref","first-page":"351","DOI":"10.1016\/j.conbuildmat.2018.07.123","article-title":"Experimental and numerical study of the performance of ultra high performance fiber reinforced concrete for the flexur-al strengthening of full scale reinforced concrete members","volume":"186","author":"Paschalis","year":"2018","journal-title":"Constr. Build. Mater."},{"key":"10.1016\/j.asoc.2026.115161_bib27","doi-asserted-by":"crossref","first-page":"655","DOI":"10.9734\/JSRR\/2013\/5238","article-title":"Oida YM. Repair of pre-cracked RC beams using several cementitio-us materials","volume":"2","author":"Shihada","year":"2013","journal-title":"J. Sci. Res. Rep."},{"key":"10.1016\/j.asoc.2026.115161_bib28","series-title":"Adv-ances in Structural Engineering: Materials, Volume Three","first-page":"2057","article-title":"Flexural behaviour of damaged RC beams strengthened with ultra high performance concrete","author":"Prem","year":"2015"},{"key":"10.1016\/j.asoc.2026.115161_bib29","doi-asserted-by":"crossref","first-page":"347","DOI":"10.1016\/j.conbuildmat.2019.04.229","article-title":"Flexural behaviors and capacity prediction on damaged reinforcement concrete (RC) bridge deck strengthened by ultra-high performance concrete (UHPC) layer","volume":"215","author":"Zhang","year":"2019","journal-title":"Constr. Build. Mater"},{"key":"10.1016\/j.asoc.2026.115161_bib30","doi-asserted-by":"crossref","first-page":"1105","DOI":"10.1016\/j.conbuildmat.2015.05.030","article-title":"Structural behavior of ultra-high performance fiber reinforce-d concrete-normal strength concrete or high strength concrete composite members","volume":"93","author":"Hussein","year":"2015","journal-title":"Constr. Build. Mater."},{"key":"10.1016\/j.asoc.2026.115161_bib31","doi-asserted-by":"crossref","DOI":"10.1016\/j.compositesb.2020.107834","article-title":"Experimental study on flexural behavior of damaged reinforced concrete (RC) beam strengthened by toughness-improved ultra-high performance concrete (UHPC) layer","volume":"186","author":"Zhang","year":"2020","journal-title":"Compos Part B Eng."},{"key":"10.1016\/j.asoc.2026.115161_bib32","doi-asserted-by":"crossref","first-page":"45","DOI":"10.1016\/j.conbuildmat.2017.08.056","article-title":"Flexural strengtheni-ng of RC beams using UHPFRC laminates: Bonding techniques and rebar additio-n","volume":"155","author":"Tanarslan","year":"2017","journal-title":"Constr. Build. Mater."},{"key":"10.1016\/j.asoc.2026.115161_bib33","doi-asserted-by":"crossref","first-page":"337","DOI":"10.1016\/j.engstruct.2017.08.048","article-title":"Flexural strengthening of RC beams with prefabricated ultra high performance fibre reinforced concrete laminates","volume":"151","author":"Tanarslan","year":"2017","journal-title":"Eng. Struct."},{"key":"10.1016\/j.asoc.2026.115161_bib34","doi-asserted-by":"crossref","DOI":"10.1016\/j.engstruct.2021.111914","article-title":"Developments in the use of ultra high performan-ce fiber reinforced concrete as strengthening material","volume":"233","author":"Paschalis","year":"2021","journal-title":"Eng. Struct."},{"key":"10.1016\/j.asoc.2026.115161_bib35","doi-asserted-by":"crossref","first-page":"106","DOI":"10.1016\/j.istruc.2023.01.113","article-title":"Experimental and numerical i-nvestigation of flexural behavior of RC beams retrofitted with reinforced UHPFRC layer in tension surface","volume":"49","author":"Ahmed","year":"2023","journal-title":"Structures"},{"key":"10.1016\/j.asoc.2026.115161_bib36","doi-asserted-by":"crossref","first-page":"731","DOI":"10.1016\/j.cemconcomp.2010.07.001","article-title":"Strengthening and repair of RC be-ams with fiber reinforced concrete","volume":"32","author":"Martinola","year":"2010","journal-title":"Cem. Concr. Compos"},{"key":"10.1016\/j.asoc.2026.115161_bib37","series-title":"Stanford (CA): Department of Civil and Environmenta-l Engineering","article-title":"Improving ductility and design methods of reinforced HPFRCC flexural members [PhD dissertation]","author":"Shao","year":"2020"},{"key":"10.1016\/j.asoc.2026.115161_bib38","doi-asserted-by":"crossref","DOI":"10.1016\/j.engstruct.2019.109581","article-title":"Predicting the two predominant flexural failure paths of lo-ngitudinally reinforced high-performance fiber-reinforced cementitious composite structural members","volume":"199","author":"Shao","year":"2019","journal-title":"Eng. Struct."},{"key":"10.1016\/j.asoc.2026.115161_bib39","doi-asserted-by":"crossref","DOI":"10.1016\/j.engstruct.2020.110927","article-title":"Failure mode and effects analysis of RC me-mbers based on machine-learning-based SHapley Additive exPlanations (SHAP) ap-proach","volume":"219","author":"Mangalathu","year":"2020","journal-title":"Eng. Struct."},{"key":"10.1016\/j.asoc.2026.115161_bib40","doi-asserted-by":"crossref","DOI":"10.1016\/j.engfailanal.2020.105072","article-title":"Prediction model of the failure mode of beam-column joints usin-g machine learning methods","volume":"120","author":"Gao","year":"2021","journal-title":"Eng. Fail Anal."},{"key":"10.1016\/j.asoc.2026.115161_bib41","doi-asserted-by":"crossref","DOI":"10.1016\/j.istruc.2023.105173","article-title":"Ensemble machine learning-based approach with genetic algorithm optimization for predicting bo-nd strength and failure mode in concrete-GFRP mat anchorage interface","volume":"57","author":"Mahmoudian","year":"2023","journal-title":"Structures"},{"key":"10.1016\/j.asoc.2026.115161_bib42","article-title":"An ensemble model of explainable soft computing for failure mode identification in reinforced concrete shear walls","volume":"82","author":"Qiu","year":"2024","journal-title":"J. Build. -D. Eng."},{"key":"10.1016\/j.asoc.2026.115161_bib43","doi-asserted-by":"crossref","DOI":"10.1016\/j.engstruct.2023.117225","article-title":"Data-driven prediction and optimization of axial compressive strength for FRP-reinforced CFST columns using synt-hetic data augmentation","volume":"300","author":"Liu","year":"2024","journal-title":"Eng. Struct."},{"key":"10.1016\/j.asoc.2026.115161_bib44","doi-asserted-by":"crossref","DOI":"10.1016\/j.advengsoft.2024.103611","article-title":"Modelling the compre-ssive strength of geopolymer recycled aggregate concrete using ensemble machine learning","volume":"191","author":"Golafshani","year":"2024","journal-title":"Adv. Eng. Softw."},{"key":"10.1016\/j.asoc.2026.115161_bib45","doi-asserted-by":"crossref","first-page":"1223","DOI":"10.3390\/buildings14051223","article-title":"Accurate prediction of punching shear strength of steel fiber-reinforced concrete slabs: A machine learning approach with data augme-ntation and explainability","volume":"14","author":"Cheng","year":"2024","journal-title":"Buildings"},{"issue":"11","key":"10.1016\/j.asoc.2026.115161_bib46","doi-asserted-by":"crossref","first-page":"139","DOI":"10.1145\/3422622","article-title":"Generative adversarial networks","volume":"63","author":"Goodfellow","year":"2020","journal-title":"Commun. ACM"},{"issue":"1","key":"10.1016\/j.asoc.2026.115161_bib47","article-title":"Generative adversarial network: an overview of theory and applications","volume":"1","author":"Aggarwal","year":"2021","journal-title":"Int J. Inf. Manag Data Insights"},{"issue":"8","key":"10.1016\/j.asoc.2026.115161_bib48","first-page":"3751","article-title":"Modeling tabular dat-a using conditional GAN","volume":"36","author":"Xu","year":"2023","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"10.1016\/j.asoc.2026.115161_bib49","doi-asserted-by":"crossref","first-page":"141","DOI":"10.1007\/s10878-020-00578-0","article-title":"Do PMT. Classification optimization for training a large dataset wit-h Na\u00efve Bayes","volume":"40","author":"Nguyen","year":"2020","journal-title":"J. Comb. Optim."},{"key":"10.1016\/j.asoc.2026.115161_bib50","article-title":"Nearest neighbo-rs algorithm and genetic-based collaborative filtering","volume":"34","author":"Houshmand Nanehkaran","year":"2022","journal-title":"Concurr Comput. Pr. Exp."},{"key":"10.1016\/j.asoc.2026.115161_bib51","doi-asserted-by":"crossref","first-page":"2197","DOI":"10.1111\/trf.15406","article-title":"Logistic regression","volume":"59","author":"Hess","year":"2019","journal-title":"Transfusion"},{"issue":"3","key":"10.1016\/j.asoc.2026.115161_bib52","doi-asserted-by":"crossref","first-page":"273","DOI":"10.1023\/A:1022627411411","article-title":"Support-vector networks","volume":"20","author":"Cortes","year":"1995","journal-title":"Mach. Learn"},{"key":"10.1016\/j.asoc.2026.115161_bib53","doi-asserted-by":"crossref","first-page":"56","DOI":"10.1145\/3350749","article-title":"Decision trees","volume":"10","author":"Barr","year":"2019","journal-title":"ACM Inroads"},{"issue":"1","key":"10.1016\/j.asoc.2026.115161_bib54","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1023\/A:1010933404324","article-title":"Random forests","volume":"45","author":"Breiman","year":"2001","journal-title":"Mach. Learn"},{"key":"10.1016\/j.asoc.2026.115161_bib55","doi-asserted-by":"crossref","DOI":"10.1016\/j.conbuildmat.2024.138757","article-title":"Enhancing bond strength prediction at UHPC-NC interface: A data-driven approach with augmentation and e-xplainability","volume":"451","author":"Hu","year":"2024","journal-title":"Constr. Build. Mater."},{"key":"10.1016\/j.asoc.2026.115161_bib56","doi-asserted-by":"crossref","DOI":"10.1016\/j.asoc.2025.114181","article-title":"A sophisticated computational approach for flexural strength p-rediction and mix proportion optimization of steel fiber-reinforced concrete","volume":"186","author":"Yu","year":"2026","journal-title":"Appl. Soft Comput."},{"key":"10.1016\/j.asoc.2026.115161_bib57","first-page":"4765","article-title":"A unified approach to interpreting model predictions","volume":"30","author":"Lundberg","year":"2017","journal-title":"Adv. Neural Inf. Process Syst."}],"container-title":["Applied Soft Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1568494626006095?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1568494626006095?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,4,22]],"date-time":"2026-04-22T15:59:12Z","timestamp":1776873552000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1568494626006095"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,7]]},"references-count":57,"alternative-id":["S1568494626006095"],"URL":"https:\/\/doi.org\/10.1016\/j.asoc.2026.115161","relation":{},"ISSN":["1568-4946"],"issn-type":[{"value":"1568-4946","type":"print"}],"subject":[],"published":{"date-parts":[[2026,7]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"A failure mode identification model for UHPC-strengthened damaged flexural RC beams based on generative adversarial networks and machine learning","name":"articletitle","label":"Article Title"},{"value":"Applied Soft Computing","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.asoc.2026.115161","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier B.V. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"115161"}}