- 摘 要
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（1 哈爾濱工業(yè)大學(xué)建筑設(shè)計研究院， 哈爾濱 150090； 2 哈爾濱工業(yè)大學(xué)土木工程學(xué)院， 哈爾濱 150090）
［摘要］通過少量樣本實現(xiàn)結(jié)構(gòu)極值風(fēng)壓的概率估計一直是結(jié)構(gòu)風(fēng)工程領(lǐng)域的研究熱點。對此，借鑒改進“獨立風(fēng)暴”法，發(fā)展了基于“風(fēng)壓脈沖”的極值風(fēng)壓估計方法，然后結(jié)合平面屋蓋和球面屋蓋的多次采樣風(fēng)洞試驗，對基于“風(fēng)壓脈沖”的極值風(fēng)壓估計方法與改進“獨立風(fēng)暴”法進行比較。結(jié)果表明，基于“風(fēng)壓脈沖”的極值風(fēng)壓估計方法通過較小容量樣本即可建立起相對精確的目標(biāo)概率模型，獲得較為準(zhǔn)確的極值估計結(jié)果。將基于“風(fēng)壓脈沖”的極值風(fēng)壓估計方法應(yīng)用于實際工程大跨屋蓋結(jié)構(gòu)的極值風(fēng)壓估計中，驗證了此方法的可行性和有效性。
［關(guān)鍵詞］極值風(fēng)壓； 風(fēng)壓脈沖； 改進“獨立風(fēng)暴”法； 小容量樣本； 風(fēng)洞試驗
中圖分類號：TU312+-1文獻標(biāo)識碼：A文章編號：1002-848X(2018)12-0085-07
Method for estimating extreme wind pressure on large-span roof structure based on“wind pressure pulse events”
Chen Long1, Wang Congfei1, Wu Yue1,2, Liu Haifeng1
(1 The Architectural Design and Research Institute of HIT, Harbin 150090, China; 2 School of Civil Engineering, Harbin Institute of Technology, Harbin 150090, China)
Abstract:Probability assessment of extreme wind pressure on structure with small sample size has been one of hot research issues in structural wind engineering. Based on“Modified Independent Storms Method”, an estimate method on extreme wind pressure pulse was proposed. Then, combined with the multiple sampling wind tunnel tests of the flat roof and the spherical roof, the extreme wind pressure estimation method based on“wind pressure pulse”was compared with the improved“Modified Independent Storms Method”. The results show that extreme wind pressure estimation method based on“wind pressure pulse”can establish a relatively accurate target probability model with small sample size and obtain a more accurate extreme value estimation result. The extreme wind pressure estimation method based on“wind pressure pulse”was applied to estimation of the extreme wind pressure of the large-span roof structure of a real engineering, and the feasibility and effectiveness of this method were verified.
Keywords:extreme wind pressure; wind pressure pulse; Modified Independent Storms Method; small sample size; wind tunnel test
作者簡介：陳龍，碩士，工程師，Email: havingtoday2007@126.com。
