2019
DOI: 10.1139/cgj-2018-0217
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Discussion of “Statistics of model factors in reliability-based design of axially loaded driven piles in sand”

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Cited by 3 publications
(7 citation statements)
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“…It can be seen that (i) when the parameter b > 0.6, the difference within the hyperbolic parameters (a, b) is not very discernible and (ii) when the parameter b < 0.6, the parameter a for CEP piles is usually greater than that for DCIS piles. This is unlike the observation of Flynn and McCabe (2019), where the DCIS pile data are in close proximity to the CEP pile dataset. It should be noted that the size of the calibration database was 18 for DCIS piles and 27 for CEP piles in Flynn and McCabe (2019), which are lower than that of the present analysis with N = 41 for DCIS piles and N = 70 for CEP piles.…”
contrasting
confidence: 74%
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“…It can be seen that (i) when the parameter b > 0.6, the difference within the hyperbolic parameters (a, b) is not very discernible and (ii) when the parameter b < 0.6, the parameter a for CEP piles is usually greater than that for DCIS piles. This is unlike the observation of Flynn and McCabe (2019), where the DCIS pile data are in close proximity to the CEP pile dataset. It should be noted that the size of the calibration database was 18 for DCIS piles and 27 for CEP piles in Flynn and McCabe (2019), which are lower than that of the present analysis with N = 41 for DCIS piles and N = 70 for CEP piles.…”
contrasting
confidence: 74%
“…This is unlike the observation of Flynn and McCabe (2019), where the DCIS pile data are in close proximity to the CEP pile dataset. It should be noted that the size of the calibration database was 18 for DCIS piles and 27 for CEP piles in Flynn and McCabe (2019), which are lower than that of the present analysis with N = 41 for DCIS piles and N = 70 for CEP piles. The statistics of the hyperbolic parameters are summarized in Table R4.…”
contrasting
confidence: 74%
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