2019
DOI: 10.1002/suco.201800273
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Model uncertainties and bias in SHEAR strength predictions of slender stirrup reinforced concrete beams

Abstract: Prior studies point to high model uncertainty in shear prediction. Model factors for various shear prediction models are characterized here, based on a recent and well‐vetted database of shear failures. Characterization includes estimation of main statistical parameters; and importantly also correlation and regression analysis to assess consistency of model factors over ranges of design parameters. The aim of the study is to identify models suitable for use as general probabilistic model (GPM) in future reliab… Show more

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Cited by 19 publications
(29 citation statements)
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References 24 publications
(50 reference statements)
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“…The authors quantified the model uncertainty for six different prediction models of shear capacity (consisting of newly developed shear models) using a critically vetted published database of shear experiments developed by Reineck et al and the results were subsequently used in this contribution. The FORM method was implemented for the performance analysis of the VSIM procedure.…”
Section: Discussionmentioning
confidence: 99%
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“…The authors quantified the model uncertainty for six different prediction models of shear capacity (consisting of newly developed shear models) using a critically vetted published database of shear experiments developed by Reineck et al and the results were subsequently used in this contribution. The FORM method was implemented for the performance analysis of the VSIM procedure.…”
Section: Discussionmentioning
confidence: 99%
“…Olalusi and Viljoen show that the model factors of the MCFT (R2k) and CCC are less biased, with lower uncertainty and less unwanted trends with shear parameters than alternative shear models including the VSIM, shear level of approximation III of the fib Model Code 2010, and ACI 318. This motivates the choice of the MCFT (R2k) and CCC as GPMs for shear reliability assessment in this paper.…”
Section: Quantification Of Model Uncertainty and Bias For Shear Reliamentioning
confidence: 99%
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“…A similar study was conducted by Olalusi and Viljoen for determining the modeling error of shear capacity models recommended by different codes of practice. 55 The study 55 brings out the importance of consideration of modeling error in probabilistic description of shear capacity of slender beams.…”
Section: Modeling Errormentioning
confidence: 99%