本研究採用東京工藝大學風洞資料庫中1:1:5高樓層建築物風壓係數歷時，先利用沃羅若伊圖法(Voronoi)與面積加權平均決定出不同受風面積下的風壓係數歷時。接著分別採用Sadek&Simiu與Quan方法計算建築物各牆面下不同風向角的極值風壓係數；結果顯示風壓係數歷時之平均值、標準差、偏態及峰度程度皆對極值風壓係數有很大的影響，且極值風壓係數值之空間分佈與對應之標準差分佈有近似的趨勢。在不同風向角下對各牆面分別求取兩方法所得各測點極值風壓相對差距值之平均值，其值介於3.7%~16%，平均為7.5%，兩方法所得結果相近。由於Quan方法中需主觀判斷決定歷時分段個數，再作極值估計，而Sadek&Simiu方法為採用整段歷時作極值估計，故後續採用Sadek&Simiu方法所得結果與耐風規範外風壓係數值比較。當受風面積較小時，本研究計算所得之角隅處之正負極值風壓係數及中央區之正極值風壓係數大致與規範值相近，但隨著受風面積增加其值下降幅度較規範小；而中央區之負極值風壓係數在不同受風面積下均明顯大於規範值。

In this study, the wind pressure coefficient time histories for different tributary areas are determined by applying the Voronoi diagram and the area-weighted average method on the 1:1:5 high-rise building’s aerodynamic database of Tokyo Polytechnic University. Then Sadek & Simiu and Quan methods are used respectively to calculate the extreme wind pressure coefficients under various wind directions；the resulting extreme values are greatly influenced by the associated first four moments of the wind pressure coefficient time history；the spatial distribution of extreme wind pressures is quite similar to that of the associated standard deviations. The extreme wind pressure coefficients obtained by the two methods are similar with the average relative difference of 7.5%. Comparison between the results obtained by Sadek & Simiu method and the wind design code shows that when the tributary area is small, the positive and negative extreme wind pressures on the corner area and the positive extreme wind pressures on the central area are similar to those specified in the wind design code while as the tributary area increases, the values given by the code decreases much faster. However, the negative extreme pressures on the central area are significantly larger than those specified in the wind design code.

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