The purpose of this paper is to discuss し he sLatistical distribution of snow load and the fegional property of snow load factor in Load and Resistance Factor Design method according to annua } extreme greund snow depths measured at 362 points in Japan . The probability plot correlation coefficierlt test proposed by Filliben is used fQr testing five types of prQbability distribution func − tions for their goodness of fit te the data samples . The analysis shows that type I and type 丗 distributions are adequate to describe the obserbed amual extreme ground snow depths重 n Japan . Snow load fac 亡 ors in combination of dead load and snow load are also discussed . Key ω ordS :5n ・W 1 ・ad , Pr ・bability diStrt ' butien , mean recurrence interwai value , sn ・W loadfactor
In estimating 廿} e snow loads on roofs ofbuildings and space s rructures in heavy snew regions , it is important to considcr the ununifem 】 snow depth distributions of an entire roof a 【 ea . The objective of this study is to develop an usefUl and reliable method in the stmc 蹴 a】 design in order to predict roof snew accumulations due to snewstorms , First , the efficiency of wind tUnnel teSts using artificia1 snow particles is discussed as compared With field measurements of roof snow surveyed in detail by aerial photogranunetry , The 飢 i五cial snow particles enable more realistic experiments than model snow particles such as cracked wheat or activated c】 a ) -etc. Second as the roof snow accumulation is dose【 y related to the characteriSticg . ofwind f 【 ow around a building , this s価 dy fbcuses the re 正 ationship betWeen the snow a ulati。n ob 撫 ined行o 舳 e ab 。ve mentioned wind tUnne] testS and 血 e djstnbuti on of 山 e 月uctuating wind pressure coefficients on roof 』 、 It is ib しmd that when the test conditions are suitab [ e, the aceurate estimation ofsnow accumu [ ation patterns is possible using wind tunnehests and ! or the distribution ofthe fiuctUating wind pressur ¢ coe 価 cients on the roof 』 .
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