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MACHINE LEARNING APPROACH FOR PREDICTING THE PATCH LOAD RESISTANCE OF SLENDER AUSTENITIC STAINLESS STEEL GIRDERS

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dc.creatorEURO LUIS CASANOVA MEDINA
dc.date2021
dc.date.accessioned2025-01-10T15:25:30Z
dc.date.available2025-01-10T15:25:30Z
dc.date.issued2021
dc.description.abstractOVER THE LAST DECADES, IN SPITE OF ITS COST, THE USE OF STAINLESS ALLOYS HAS GROWN SIGNIFICANTLY OWING TO ENVIRONMENTAL CONCERNS, LOW MAINTENANCE, AND HIGH CORROSION RESISTANCE. THIS PAPER IS AIMED AT DEVELOPING A PREDICTION MODEL FOR THE RESISTANCE OF SLENDER AUSTENITIC STAINLESS STEEL PLATE GIRDER SUBJECTED TO PATCH LOADING USING A MACHINE LEARNING BASED APPROACH. FIRSTLY, THE STUDY IS CONDUCTED THROUGH GEOMETRICALLY AND MATERIALLY NONLINEAR WITH IMPERFECTION ANALYSES (GMNIA). THE NUMERICAL METHODOLOGY IS VALIDATED BY COMPARISON WITH EXPERIMENTAL RESULTS AVAILABLE IN THE LITERATURE. SECONDLY, AN EXTENSIVE PARAMETRIC ANALYSIS COVERING A WIDE RANGE OF GIRDER GEOMETRIES IS PERFORMED. A NUMERICAL DATABASE RESULTING FROM THE PARAMETRIC ANALYSIS IS FITTED USING SYMBOLIC REGRESSION AND A RESISTANCE MODEL IS ATTAINED. FINALLY, THE ACCURACY OF THE PREDICTION MODEL IS EVALUATED BY COMPARISON OF THE PREDICTED RESISTANCES WITH VALUES COMPUTED NUMERICALLY, AND RESISTANCES PREDICTED USING AVAILABLE FORMULAE FROM THE LITERATURE.
dc.formatapplication/pdf
dc.identifier.doi10.1016/j.istruc.2021.01.012
dc.identifier.issn2352-0124
dc.identifier.urihttps://repositorio.ubiobio.cl/handle/123456789/11952
dc.languagespa
dc.publisherSTRUCTURES
dc.relation.uri10.1016/j.istruc.2021.01.012
dc.rightsPUBLICADA
dc.titleMACHINE LEARNING APPROACH FOR PREDICTING THE PATCH LOAD RESISTANCE OF SLENDER AUSTENITIC STAINLESS STEEL GIRDERS
dc.typeARTÍCULO
dspace.entity.typePublication
ubb.EstadoPUBLICADA
ubb.Otra ReparticionDEPARTAMENTO DE INGENIERIA CIVIL Y AMBIENTAL
ubb.SedeCONCEPCIÓN
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