Computers and Concrete

  • 제15권2호
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  • Pages.279-304
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  • 2015
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  • 1598-8198(pISSN)
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  • 1598-818X(eISSN)
테크노프레스 (Techno-Press)
권호 표지
DOI QR코드

DOI QR Code

Stochastic finite element based reliability analysis of steel fiber reinforced concrete (SFRC) corbels

  • 투고 : 2014.07.11
  • 심사 : 2014.11.25
  • 발행 : 2015.02.25
⟨ 이전 논문 다음 논문 ⟩

초록

In this study, reliability analyses of steel fiber reinforced concrete (SFRC) corbels based on stochastic finite element were performed for the first time in literature. Prior to stochastic finite element analysis, an experimental database of 84 sfrc corbels was gathered from literature. These sfrc corbels were modeled by a special finite element program. Results of experimental studies and finite element analysis were compared and found to be very close to each other. Furthermore experimental crack patterns of corbel were compared with finite element crack patterns and were observed to be quite similar. After verification of the finite element models, stochastic finite element analyses were implemented by a specialized finite element module. As a result of stochastic finite element analysis, appropriate probability distribution functions (PDF's) were proposed. Finally, coefficient of variation, bias and strength reduction (resistance) factors were proposed for sfrc corbels as a consequence of stochastic based reliability analysis.

키워드

과제정보

연구 과제번호 : Modeling of Inelastic Behavior of Structures by Soft Computing Techniques

연구 과제 주관 기관 : Gaziantep University

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피인용 문헌

  1. Reliability-based modeling of punching shear capacity of FRP-reinforced two-way slabs vol.17, pp.1, 2016, https://doi.org/10.12989/cac.2016.17.1.087
  2. Nonlinear FE analysis of slab-beam-column connection in precast concrete structures vol.143, 2017, https://doi.org/10.1016/j.engstruct.2017.04.028
  3. Mechanical behavior of steel fiber‐reinforced self‐compacting concrete corbels after exposure to elevated temperatures vol.19, pp.6, 2015, https://doi.org/10.1002/suco.201700034
  4. Steel Fibre Reinforced Concrete Meso-Scale Numerical Analysis vol.2020, pp.None, 2015, https://doi.org/10.1155/2020/2084646