2014
DOI: 10.1016/j.engstruct.2014.09.030
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Calibrated analytical element for lateral-strength degradation of reinforced concrete columns

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Cited by 45 publications
(21 citation statements)
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“…This is obvious also in similar existing models that exhibit high variation (e.g. R 2 of 0.6 30 ). As expected, the models for QM specimens have lower variation compared with CS and AS in every case; this is because of in-cycle degradation in these specimens is captured via these models, while the slopes of CS specimens are substantially affected by the displacement pattern used for each test, leading to potentially lower or higher cyclic strength degradation, thus producing extra uncertainty.…”
Section: Descending Branchsupporting
confidence: 70%
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“…This is obvious also in similar existing models that exhibit high variation (e.g. R 2 of 0.6 30 ). As expected, the models for QM specimens have lower variation compared with CS and AS in every case; this is because of in-cycle degradation in these specimens is captured via these models, while the slopes of CS specimens are substantially affected by the displacement pattern used for each test, leading to potentially lower or higher cyclic strength degradation, thus producing extra uncertainty.…”
Section: Descending Branchsupporting
confidence: 70%
“…Although a mechanics-based approach would in principle be preferable to obtain such parameters, it is currently not feasible considering the inherent uncertainty of the post-peak cyclic shear response, with a considerable effect of deformation history and experimental setup that usually cannot be accounted for, as well as the randomness of the succession of degradation phenomena taking place at a lower level. This fact is corroborated by the high variability in the results of similar models for the post-peak response of shear-deficient R/C elements 30 and the considerable variability produced (of the order of 30%-50%) even for pre-peak parameters of R/C elements, even when calibrating against very extensive databases. 31 Additionally, it is also corroborated by the adoption of empirical models even for the pre-peak response of existing structures in Eurocode EN1998-3 31,32 and, lastly, by the fact that even when trying to develop a mechanics-based model, shear deformations might need to be accounted for through an empirical correction factor.…”
Section: Calibration Of Hysteretic Shear Model Parameters In the Crmentioning
confidence: 69%
“…Moreover, the shear strength is typically considered zero at the onset of axial failure -although this is not always the case, as will be shown later on, resulting in higher potential deviations. Another model [5] explicitly accounts for the post-peak descending branch, but is not calibrated against experimental results at all, thus being less accurate, as shown through the model verification against experimentally obtained results and noted by the authors; those that consider it directly and are indeed calibrated, are either associated with substantial scatter [6] or they neglect the effect of some critical parameters, such as transverse reinforcement [7]; furthermore, the datasets on which their empirical models were based are quite limited ( [6], [7]), largely due to the scarcity of experimental tests of specimens up to the onset of axial failure until recently. Most of these constitutive models are based on interstorey drift ratio (e.g.…”
Section: Critical Review Of Existing Modelsmentioning
confidence: 97%
“…This model yields an R 2 of 0.82, which is considered quite high, taking into account the high uncertainty inherent in post-peak phenomena (for instance, the effect of experimental set-up and the randomness of the succession of degrading phenomena taking place at a lower level) as well as comparing it with existing models (e.g. R 2 of 0.6 in [6]). The mean experimental-to-predicted value is 1.00 and the median 0.87 ( Figure 9).…”
Section: Descending Branchmentioning
confidence: 99%
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