Estimation of tensile capacity of single anchors including edge effect using neural networks

Basit Öğe Kaydı
dc.contributor.authorOzturk M.
dc.date.accessioned2020-03-26T18:48:13Z
dc.date.available2020-03-26T18:48:13Z
dc.date.issued2013
dc.departmentSelçuk Üniversitesien_US
dc.descriptionKMUTT;SCG;Global Connections;VP Wooden_US
dc.description4th International Conference on Multi-Functional Materials and Structures, MFMS 2013 -- 14 July 2013 through 17 July 2013 -- Sathorn-Taksin, Bangkok -- 99778en_US
dc.description.abstractThe demand for more flexibility in the design and strengthening of concrete structures has resulted in an increased use of anchoring systems. Adhesive anchors are widely used in seismic strengthening applications to add new structural members or sections to existing concrete members. To safely design such anchors, it is very important to know their tensile capacity under axial tensile forces. This paper explores the pullout capacity of single adhesive anchors loaded in tension in uncracked concrete. To this end 142 single anchor tests including edge effect (located near a concrete edge) were obtained from literature. The formulated three-layered artificial neural network method (ANN) was trained using 75% of the data set by using different learning algorithms. The methods were tested with the remaining 25% of the data set. The variables taken into account in this study are anchor diameter, embedment length, concrete body height and edge distance. It was determined that experimental data can be estimated to a notably close extent via the ANN model. © (2013) Trans Tech Publications, Switzerland.en_US
dc.identifier.doi10.4028/www.scientific.net/AMR.747.424en_US
dc.identifier.endpage428en_US
dc.identifier.isbn9.78304E+12
dc.identifier.issn1022-6680en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage424en_US
dc.identifier.urihttps://dx.doi.org/10.4028/www.scientific.net/AMR.747.424
dc.identifier.urihttps://hdl.handle.net/20.500.12395/30145
dc.identifier.volume747en_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.relation.ispartofAdvanced Materials Researchen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectAnchoren_US
dc.subjectNeural network methoden_US
dc.subjectTensile capacityen_US
dc.titleEstimation of tensile capacity of single anchors including edge effect using neural networksen_US
dc.typeConference Objecten_US

Dosyalar

Koleksiyon

Scopus İndeksli Yayınlar Koleksiyonu