Design wind loads for a low-rise building taking into account directional effects

Structural Improvements for Tall Buildings under Wind Loads: Comparative Study

“…Tacking in account the missing data coefficient 1 = 1.14 and the directional correction coefficient 2 = 1.15 (by Cook), the reference velocity increases to the new value of V ref = 37.3 m/s. As mentioned before, considering Kasperski [52] 2 decreases to 2 = 1.11 obtaining a new value V ref = 36.06 m/s. This last value is lower than the first one but always higher than the code no-directional velocity estimated by the Italian regulation V ref = 33.25 m/s ( R = 100 years, at 100 m).…”

“…To determine the site wind velocity, it is necessary to take in account two coefficients: the missing data correction coefficient 1 [51] and the directional coefficient 2 [52]. If 2 was estimated by Kasperski in place of Cook [53] referring to [51], the maximum value of the site wind velocity could be decreased.…”

Research on Wind Load Calculation Based on Identical Guarantee Rate Method

“…e shape, size, and number of buildings, the relative position of buildings, wind direction angle, wind field, and wind speed are all related to the mutual interference. e model described by formula (1) and the existing wind load calculation methods [18,22,23] do not fully involve these factors. In this paper, a series of factors of cognitive uncertainty are considered in the design of the algorithm model, so as to more comprehensively and accurately study the wind load estimation method considering wind direction, in which a series of factors of cognitive uncertainty include the wind-induced effect in short duration τ (bending moment, shear force, and displacement), the roughness degree z 0 of the representative landform of the upwind location of the building, the wind speed conversion factor u, the wind speed v, the site type c, shape coefficient Tx and wind pressure point correlation coefficient r, local shape coefficient of wind pressure μ p , and variation of wind pressure coefficient.…”

“…By assuming that the annual equivalent wind speed series obeys a certain probability distribution, the wind load value with a certain return period is obtained. Kasperski and Hoxey [20][21][22] improved the abovementioned method and proposed a more accurate extreme value calculation method (Kasperski method). Diniz et al method [23] is based on Monte Carlo simulation and introduces a series of factors of cognitive uncertainty to study the wind load estimation method considering wind direction more comprehensively and accurately.…”

Reducing Uncertainties in Estimation of Wind Effects on Tall Buildings Using Aerodynamic Wind Tunnel Tests

“…Rigato et al (2000) suggested a database assisted design approach which accounts for wind directionality effect more realistically than the conventional directionality factor approach recommended by several design codes and standards. Kasperski (2007) presented a methodology which involves convolution integral to estimate design wind effects on low-rise buildings from directional synthesis of measured wind tunnel and climatological data. used a sector-by-sector directional synthesis approach which considers the participation of more than one but not all sectors in estimating design wind effects on low-rise buildings.…”