Lifli Betonarme Kısa Konsolların Kesme Dayanımının Destek Vektör Makineleri ile Tahmini

Prefabrik kısa konsollar, özellikle sanayi yapılarında sıkça tercih edilen yapı elemanlarıdır. Bu çalışmada, lifli betonarme kısa konsolların kesme dayanımı, literatürde ilk defa, destek vektör makineleri (DVM) ile tahmin edilmiştir. Mevcut deneysel veriler kullanılarak DVM modelleri oluşturulmuş ve tahmin performansları analiz edilmiştir. Seçilen modelin tahminleri, deney sonuçları ve literatürde mevcut olan modelin (Fattuhi, 1994) tahminleri ile karşılaştırılmıştır. Model, çelik lifli kısa konsolların yanı sıra cam lifli konsolların taşıma kapasitelerini de tahmin edebilmektedir. Ayrıca model, her bir girdi parametresinin etkisini incelemek amacıyla, parametrik analize tabi tutulmuştur. Sonuçlar, önerilen modelin yüksek tahmin kapasitesine sahip olduğunu göstermektedir.

Predicting the Shear Strength of Fiber Reinforced Concrete Corbels Via Support Vector Machines

Precast corbels are commonly preferred structural members in industrial buildings. In this study, anovel application of support vector machines (SVM) is employed for the prediction of ultimate shear strengthof fiber reinforced corbels, for the first time in literature. SVM models are developed and analyzed using adatabase of available test results in literature. Predictions of the selected model are compared against the testresults and those of available model proposed by Fattuhi (1994). Proposed model has the capability to predictthe shear strength of both steel fiber reinforced concrete (SFRC) and glass fiber reinforced concrete (GFRC)corbels. Additionally, a parametric study with a wide range of variables is carried out to test the effect of eachparameter on the shear strength. The results confirm the high prediction capacity of proposed model.

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