2022
DOI: 10.1002/eqe.3651
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Finite element modeling of free‐standing cylindrical columns under seismic excitation

Abstract: Rocking motion is notoriously sensitive to the parameters that define it, with experimental tests oftentimes being non-repeatable. Therefore, validating numerical models using a deterministic approach is impossible, since the consistency of any benchmark experimental test is dubious. Three-dimensional rocking is even harder to predict than planar rocking. This paper presents a threedimensional finite element model to predict the statistics of the rocking/sliding response of free-standing cylindrical columns. T… Show more

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Cited by 11 publications
(15 citation statements)
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“…Following the motion‐by‐motion comparison, the numerical and experimental results of the shaking table dataset were revisited with a focus on the statistical comparison of the Cumulative Distribution Function (CDF) of key response parameters that were discussed previously. The concept of statistical validation using the CDF plots has been applied to modelling of rocking structures that showed predictable rocking responses in the statistical sense 30–32 , 35–38 . Figure 5 presents the CDF plots used for the statistical comparison in this section.…”
Section: Validation Of Numerical Modeling Schemementioning
confidence: 99%
See 1 more Smart Citation
“…Following the motion‐by‐motion comparison, the numerical and experimental results of the shaking table dataset were revisited with a focus on the statistical comparison of the Cumulative Distribution Function (CDF) of key response parameters that were discussed previously. The concept of statistical validation using the CDF plots has been applied to modelling of rocking structures that showed predictable rocking responses in the statistical sense 30–32 , 35–38 . Figure 5 presents the CDF plots used for the statistical comparison in this section.…”
Section: Validation Of Numerical Modeling Schemementioning
confidence: 99%
“…The concept of statistical validation using the CDF plots has been applied to modelling of rocking structures that showed predictable rocking responses in the statistical sense. [30][31][32][35][36][37][38] Figure 5 presents the CDF plots used for the statistical comparison in this section. The numerical and experimental CDF plots were compared based on the Kolmogorov-Smirnov (K-S) distance 39,40 (i.e., the maximum vertical distance between the experimental and numerical CDF plots) and the relative errors (𝜀, defined as the absolute error between the experimental and numerical values divided by the experimental value) at the maximum horizontal distance, as well as at median and 90 th percentile of the experimental CDF plots, as listed in Table 1, and within each plot of Figure 5.…”
Section: Statistical Comparisonmentioning
confidence: 99%
“…[17][18] Bidirectional shaking table tests on an aluminum slab supported on four wobbling circular structural steel columns and on six freestanding rocking specimens with square and round bases were carried out, respectively. [19][20][21][22][23] For a better understanding of the seismic rocking performance of freestanding blocks under different ground motion records, the problem was also studied using probabilistic methods. [24][25][26][27] In particular, the overturning fragility estimates of the freestanding blocks were obtained from the outcomes of the shaking table tests.…”
Section: Noveltymentioning
confidence: 99%
“…Regarding the experimental work, the seismic rocking and overturning performance of a typical museum display case and two hospital cabinets was investigated via unidirectional and bidirectional shaking table tests, respectively 17–18 . Bidirectional shaking table tests on an aluminum slab supported on four wobbling circular structural steel columns and on six freestanding rocking specimens with square and round bases were carried out, respectively 19–23 …”
Section: Introductionmentioning
confidence: 99%
“…This is a weaker model validation test that requires that the structural model only be unbiased and introduce less uncertainty than the uncertainty introduced by the excitation itself. In other words, models that can be designated "good", in the scope of earthquake engineering, should introduce less uncertainty than the already-existing motion-to-motion variability [15,16]. Such statistical procedure is possible at a material or component level, but it is currently impossible at a system level due to the prohibitive cost of performing multiple shake table tests with virgin identical specimens.…”
Section: Introduction: the Need For Small Scale Testingmentioning
confidence: 99%