2015
DOI: 10.1016/j.jweia.2015.02.002
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Revisiting combination rules for estimating extremes of linearly combined correlated wind load effects

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Cited by 13 publications
(5 citation statements)
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References 22 publications
(31 reference statements)
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“…If the mean values of R 1 (t) and R 2 (t) are both zero, the combination coefficient is equal to ρ 12 , and the combination coefficient under this specific condition is identical to the combination coefficient proposed by CHEN [4].…”
Section: Tr1 Combination Rule and Simplified Combination Coefficientsmentioning
confidence: 70%
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“…If the mean values of R 1 (t) and R 2 (t) are both zero, the combination coefficient is equal to ρ 12 , and the combination coefficient under this specific condition is identical to the combination coefficient proposed by CHEN [4].…”
Section: Tr1 Combination Rule and Simplified Combination Coefficientsmentioning
confidence: 70%
“…The CQC rule is based on the reliability theory, which is the statistical average of considerable samples. The accuracy is high when there are many samples, but the error may be large for a specific single sample [4]. The CQC rule is applied in the AS/NZS 1170.2:2011 wind load standard [5].…”
Section: Introductionmentioning
confidence: 99%
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“…Intra-building aerodynamic correlation of LBs also warrants some attention because it is related to the combination of resultant directional wind-induced responses (Chen and Huang, 2009;Tamura et al, 2014;Chen, 2015) and the correlation may differ significantly from that for an isolated building. We will examine intra-building aerodynamic correlation and its effect on the resultant responses for α = 0 o in this section.…”
Section: Intra-building Aerodynamic Correlationmentioning
confidence: 99%
“…The combination coefficients of low, middle, and high buildings were proposed on the basis of the peak stress of columns under different loading conditions. Xinzhong Chen reviewed the Turkstra's rule and estimated the extreme values of linearly combined correlated wind load effects in accordance with the analytical formulation rather than the time history of wind‐induced responses; Xinzhong Chen evaluated the performance of Turkstra's combination rule to calculate the mean extremes of nonlinearly combined correlated responses. The results illustrate that Turkstra's rule can effectively estimate the nonlinearly combined responses, yet it is less accurate for linearly combined responses.…”
Section: Introductionmentioning
confidence: 99%