2019
DOI: 10.1016/j.engfailanal.2019.05.019
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Bond-slip parameter estimation in fiber reinforced concrete at failure using inverse stochastic model

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Cited by 23 publications
(2 citation statements)
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“…Many of the results presented here confirm the conclusions of other similar studies [15,16], but none of these studies emphasise the need for an intermediate step between the experiment and the numerical model-a detailed and in-depth analysis of the measured data. The results confirm that the residual strength values are dependent on the properties and type of fibres, and their distribution in the sample.…”
Section: Introductionsupporting
confidence: 72%
“…Many of the results presented here confirm the conclusions of other similar studies [15,16], but none of these studies emphasise the need for an intermediate step between the experiment and the numerical model-a detailed and in-depth analysis of the measured data. The results confirm that the residual strength values are dependent on the properties and type of fibres, and their distribution in the sample.…”
Section: Introductionsupporting
confidence: 72%
“…Inference of parameters of a viscoelastic model is tackled in Reference 39 by employing the experimental data from long‐term creep tests on salt concrete. In Reference 40, authors estimate the bond parameters in fiber‐reinforced concrete using a stochastic inverse model relying on the non‐linear least squares approach with the help of the experimental fiber pull‐out curves. Another practical application of Bayesian inference exploits the structural health monitoring data, as in Reference 41, where the in‐situ measurements on an existing concrete dam are utilized to identify the elastic properties of concrete.…”
Section: Introductionmentioning
confidence: 99%