Abstract

The roof sheathing panels of low-rise buildings are generally prone to serious damage during strong winds. This study develops Monte-Carlo Simulation (MCS)-based first- and multi-order methods to estimate the wind damage of roof sheathing panels under various mean recurrence intervals (MRIs) with consideration of directionality effects. Numerical examples are used to illustrate the effectiveness of proposed methods and study influences of both correlations of directional yearly maximum wind speeds and multiple extreme response coefficients in each direction on wind damage. Results showed the proposed first-order method can present the same estimation accuracy and higher estimation efficiency compared with the existing method. The difference between wind damages with smaller MRIs by the first- and multi-order methods is significant only when the wind speed and response coefficient in the dominant direction have large and small variations, respectively. It is pointed out consideration of the correlation associated with wind speeds results in more significant differences (>19%) in the estimation of damage ratios with various MRIs as compared with the differences (<7%) by the correlation associated with response coefficients. Correlation associated with wind speeds reduces the wind damages with lower MRIs (e.g., 10 years) but increases wind damages with larger MRIs (e.g., 50 years).

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