本文關(guān)鍵詞：基于極值統(tǒng)計(jì)理論的屋蓋圍護(hù)結(jié)構(gòu)設(shè)計(jì)風(fēng)荷載　出處：《北京交通大學(xué)》2013年碩士論文　論文類型：學(xué)位論文

  更多相關(guān)文章： 大跨屋蓋 圍護(hù)結(jié)構(gòu) 設(shè)計(jì)風(fēng)荷載 極值統(tǒng)計(jì)理論

【摘要】：多起大跨屋蓋圍護(hù)結(jié)構(gòu)的風(fēng)致災(zāi)害表明,現(xiàn)有荷載規(guī)范不能為大跨屋蓋圍護(hù)結(jié)構(gòu)的設(shè)計(jì)風(fēng)荷載提供足夠可靠信息,因此需要對(duì)其進(jìn)行更深入的研究。本文基于平屋蓋風(fēng)洞試驗(yàn)數(shù)據(jù),分析了屋蓋表面的風(fēng)壓分布特性,在劃分風(fēng)壓區(qū)的基礎(chǔ)上使用各種極值估計(jì)方法得到平屋蓋圍護(hù)結(jié)構(gòu)的設(shè)計(jì)風(fēng)荷載。主要內(nèi)容如下： (1)介紹了目前使用的大跨屋蓋圍護(hù)結(jié)構(gòu)風(fēng)壓極值的計(jì)算方法,重點(diǎn)闡述了區(qū)組最大值模型和超閾值模型的基礎(chǔ)理論。 (2)分析了平屋蓋表面的平均風(fēng)壓、脈動(dòng)風(fēng)壓、極值風(fēng)壓的分布特性。結(jié)果表明,平均風(fēng)壓與脈動(dòng)風(fēng)壓的分布模式不相同,而極值風(fēng)壓與平均風(fēng)壓的分布模式相似。此外還探討了風(fēng)速對(duì)風(fēng)壓系數(shù)的影響。結(jié)果表明,提高風(fēng)速對(duì)平均風(fēng)壓系數(shù)的影響很小,對(duì)風(fēng)壓系數(shù)脈動(dòng)均方根的影響較大。 (3)探討了樣本量對(duì)區(qū)組最大值模型參數(shù)估計(jì)結(jié)果的影響。結(jié)果表明,樣本量對(duì)形狀參數(shù)的估計(jì)值影響最大,對(duì)位置參數(shù)的估計(jì)值影響最小,樣本量達(dá)到100時(shí)估計(jì)結(jié)果已基本趨于穩(wěn)定。并通過各個(gè)風(fēng)向角下區(qū)組最大值模型和超閾值模型的形狀參數(shù)估計(jì)值在屋蓋表面的分布確定各個(gè)極值類型所占的區(qū)域。結(jié)果驗(yàn)證了兩種極值方法所得的極值類型分布模式十分相似。 (4)使用各種極值估計(jì)方法得到標(biāo)準(zhǔn)時(shí)距下風(fēng)壓系數(shù)極小值的期望及其具有78%保證率的分位數(shù)。通過對(duì)比分析,表明區(qū)組最大值模型和超閾值模型可以得到較精確的極值風(fēng)壓估計(jì),而Gumbel法的估計(jì)值普遍偏低。最后在劃分風(fēng)壓區(qū)的基礎(chǔ)上給出了各區(qū)的設(shè)計(jì)極值風(fēng)壓系數(shù)。
[Abstract]:Many wind-induced disasters of large-span roof structures show that the existing load codes can not provide enough reliable information for the design wind loads of long-span roof enclosures. Based on the wind tunnel test data of flat roof, the distribution characteristics of wind pressure on roof surface are analyzed in this paper. On the basis of dividing the wind pressure area, the design wind load of the flat roof enclosure structure is obtained by using various extreme value estimation methods. The main contents are as follows: This paper introduces the calculation method of wind pressure extremum of large-span roof enclosure structure, and expounds the basic theory of block maximum model and over-threshold model. The distribution characteristics of mean wind pressure, pulsating wind pressure and extreme wind pressure on the surface of flat roof are analyzed. The results show that the distribution pattern of mean wind pressure is different from that of fluctuating wind pressure. The distribution pattern of extreme wind pressure is similar to that of average wind pressure. In addition, the influence of wind speed on wind pressure coefficient is also discussed. The results show that increasing wind speed has little effect on mean wind pressure coefficient. It has a great influence on the RMS root of wind pressure coefficient pulsation. 3) the effect of sample size on the parameter estimation results of block maximum model is discussed. The results show that the sample size has the greatest influence on the shape parameter estimation, and the least effect on the location parameter estimation value. When the sample size reaches 100, the estimated results have been basically stable, and the distribution of the shape parameters of the maximum value model and the super-threshold model under the wind direction angle on the roof surface is determined by the distribution of each extreme value type. The results show that the distribution patterns of the two extremum types are very similar. 4) the expectation of minimum value of wind pressure coefficient under standard time interval and the quantile with 78% guarantee rate are obtained by using various extreme value estimation methods. It shows that the maximum value model and the over-threshold model can get accurate extreme wind pressure estimation. The estimation of Gumbel method is generally low. Finally, the design extreme wind pressure coefficient of each region is given on the basis of dividing the wind pressure region.
【學(xué)位授予單位】：北京交通大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2013
【分類號(hào)】：TU352.2

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