Converting dependence of extreme wind pressure coefficients across different epochs

The dependence of extreme wind pressure coefficients has gained attention due to its potential impact on determining design wind loads and assessing wind-induced damages of cladding components. However, experimental data with short durations often fail to provide a sufficient number of extreme samples of pressure coefficients over specified epochs (e.g., 10 min or 1 h). Consequently, estimating the dependence of extreme pressure coefficients remains a challenge. To address this issue, Spearman's ρ is employed to quantify the dependence of extreme pressure coefficients due to their non-Gaussianity nature, based on which a theoretical formula converting the dependence of extreme pressure coefficients across different epochs is deduced. Furthermore, a simplified conversion formula, which offers accuracy equivalent to the theoretical one while enhancing efficiency, is provided. A dataset of pressure coefficients with a very long duration is employed for formula examination. The conversion formula demonstrates good agreement with the observed trend of dependence between extreme pressure coefficients over different epochs. Error analysis is also conducted to investigate the uncertainty of estimates from data. Additionally, the efficacy of the conversion formula deduced based on Pearson's linear correlation coefficient is discussed.