Patch load resistance of longitudinally stiffened webs: Modeling via support vector machines

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dc.contributor.authorKurtoğlu, Ahmet Emin
dc.date.accessioned2024-03-18T21:33:45Z
dc.date.available2024-03-18T21:33:45Z
dc.date.issued2018en_US
dc.departmentMühendislik ve Mimarlık Fakültesien_US
dc.description.abstractSteel girders are the structural members often used for passing long spans. Mostly being subjected to patch loading, or concentrated loading, steel girders are likely to face sudden deformation or damage e.g., web breathing. Horizontal or vertical stiffeners are employed to overcome this phenomenon. This study aims at assessing the feasibility of a machine learning method, namely the support vector machines (SVM) in predicting the patch loading resistance of longitudinally stiffened webs. A database consisting of 162 test data is utilized to develop SVM models and the model with best performance is selected for further inspection. Existing formulations proposed by other researchers are also investigated for comparison. BS5400 and other existing models (model I, model II and model III) appear to yield underestimated predictions with a large scatter; i.e., mean experimental-to-predicted ratios of 1.517, 1.092, 1.155 and 1.256, respectively; whereas the selected SVM model has high prediction accuracy with significantly less scatter. Robust nature and accurate predictions of SVM confirms its feasibility of potential use in solving complex engineering problems.en_US
dc.identifier.doi10.12989/scs.2018.29.3.309en_US
dc.identifier.endpage318en_US
dc.identifier.issn1229-9367
dc.identifier.issn1598-6233
dc.identifier.issue3en_US
dc.identifier.scopus2-s2.0-85056883760en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage309en_US
dc.identifier.urihttps://hdl.handle.net/11363/7216
dc.identifier.urihttps://doi.org/
dc.identifier.volume29en_US
dc.identifier.wosWOS:000449622300003en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorKurtoğlu, Ahmet Emin
dc.language.isoenen_US
dc.publisherTECHNO-PRESSPO BOX 33, YUSEONG, DAEJEON 305-600, SOUTH KOREAen_US
dc.relation.ispartofSTEEL AND COMPOSITE STRUCTURESen_US
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectsteel girdersen_US
dc.subjectpatch loadingen_US
dc.subjectlongitudinal stiffeneren_US
dc.subjectsupport vector machinesen_US
dc.subjectmachine learningen_US
dc.titlePatch load resistance of longitudinally stiffened webs: Modeling via support vector machinesen_US
dc.typeArticleen_US

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