Computers and Concrete

  • 제20권1호
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  • Pages.65-75
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  • 2017
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  • 1598-8198(pISSN)
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  • 1598-818X(eISSN)
테크노프레스 (Techno-Press)
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DOI QR코드

DOI QR Code

Fiber reinforced concrete corbels: Modeling shear strength via symbolic regression

  • 투고 : 2016.10.26
  • 심사 : 2017.03.21
  • 발행 : 2017.07.25
⟨ 이전 논문 다음 논문 ⟩

초록

In this study, a novel application of symbolic regression (SR) is employed for the prediction of ultimate shear strength of steel fiber reinforced (SFRC) and glass fiber reinforced (GFRC) corbels without stirrups, for the first time in the literature. A database is created using the test results (42 tests) conducted by the authors of current paper as well as the previous studies available in the literature. A symbolic regression based empirical formulation is proposed using this database. The formulation is unique in a way that it has the capability to predict the shear strength of both SFRC and GFRC corbels. The performance of proposed model is tested against randomly selected testing set. 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.

키워드

과제정보

연구 과제번호 : MF.12.13-Modeling of Inelastic Behavior of Structures by Soft Computing Techniques

연구 과제 주관 기관 : Gaziantep University

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피인용 문헌

  1. Experimental and Numerical Evaluation of Reinforced Concrete Bracket Design for Supporting Middle Slab in Double-Deck Tunnel vol.23, pp.8, 2017, https://doi.org/10.1007/s12205-019-0112-4
  2. An optimum indeterminate strut-and-tie model for reinforced concrete corbels vol.22, pp.12, 2019, https://doi.org/10.1177/1369433219845689