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

Ahmet Emin Kurtoğlu

doi:10.17776/csj.434263

EN TR

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

Abstract

Precast corbels are commonly preferred structural members in industrial buildings. In this study, a novel application of support vector machines (SVM) is employed for the prediction of ultimate shear strength of fiber reinforced corbels, for the first time in literature. SVM models are developed and analyzed using a database of available test results in literature. Predictions of the selected model are compared against the test results and those of available model proposed by Fattuhi (1994). Proposed model has the capability to predict the 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 each parameter on the shear strength. The results confirm the high prediction capacity of proposed model.

Keywords

Support vector machines,reinforced concrete corbel,fiber reinforced concrete,steel fiber,glass fiber,shear strength

References

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Details

Primary Language

English

Subjects

-

Journal Section

Research Article

Authors

Ahmet Emin Kurtoğlu ^*

Publication Date

June 29, 2018

Submission Date

July 13, 2017

Acceptance Date

May 8, 2018

Published in Issue

Year 1970 Volume: 39 Number: 2

DOI

https://doi.org/10.17776/csj.434263

IZ

https://izlik.org/JA73ZB85CT

Cite

RIS / Bibtex

APA

Kurtoğlu, A. E. (2018). Predicting the Shear Strength of Fiber Reinforced Concrete Corbels Via Support Vector Machines. Cumhuriyet Science Journal, 39(2), 496-514. https://doi.org/10.17776/csj.434263

Cited By

A machine‐learning‐based constitutive bond‐slip model for anchored CFRP strips externally bonded on concrete members

Structural Concrete

https://doi.org/10.1002/suco.202100647

Prediction of Shear Strength for Steel-Fiber High-Strength Concrete Corbels with the Softened Strut-and-Tie Model

Buildings

https://doi.org/10.3390/buildings13041107

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

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

Abstract

Keywords

Lifli Betonarme Kısa Konsolların Kesme Dayanımının Destek Vektör Makineleri ile Tahmini

Öz

Anahtar Kelimeler

References

Details

Primary Language

Subjects

Journal Section

Authors

Publication Date

Submission Date

Acceptance Date

Published in Issue

DOI

IZ

Cite

Cited By

A machine‐learning‐based constitutive bond‐slip model for anchored CFRP strips externally bonded on concrete members

Prediction of Shear Strength for Steel-Fiber High-Strength Concrete Corbels with the Softened Strut-and-Tie Model