Theoretically estimated peak wind loads

Large-eddy simulation of flow over a surface-mounted prism using a high-order finite-difference scheme

“…It is important to note here that the agreement of mean pressure values does not necessarily imply that the extreme values should also match. A comparison of the extreme values, that is based on a probabilistic approach (Tieleman et al, 2007), is presented in Elsayed et al (2005).…”

Derivation of equivalent gust effect factors for wind loading on low-rise buildings through Database-Assisted-Design approach

“…Previous investigators [4][5][6]18] have shown that the use of a Gamma distribution is usually adequate for the representation of marginal probability of the wind loading effects. Maximum likelihood estimation (MLE) was applied to the derivation of the shape and scale parameters of the marginal distribution for bending moments, derived from DAD records.…”

“…Recent studies [4][5][6][7] have shown that DAD would be required to derive peak structural response on low-rise building, since, for example, the use of the ASCE 7-2005 Standard for ''Minimum Design Loads for Buildings and Other Structures'' [8], commonly employed in the United States, could on occasion under-estimate the structural demand associated with extreme wind loading. This paper was motivated by the need for simultaneous comparison among different methods for the assessment of wind loading on low-rise buildings, employed in the engineering practice in the United States.…”

Peak factors of non‐Gaussian wind forces on a complex‐shaped tall building

“…Specific efforts have been made to modify the Davenport's peak factor for predicting non‐Gaussian gust effects (Kareem and Zhao, ; Sadek and Simiu, ; Tieleman et al ., , ). Kareem and Zhao proposed an analytical form of the univariate non‐Gaussian peak factor, which was based on the concept of a translation process (Grigoriu, ), the moment‐based Hermite model (Winterstein, ) and the framework of Gaussian peak factor (Davenport, ).…”

“…Using the Sadek–Simiu procedure, Tieleman et al . () estimated the extreme peak pressure distribution based on the wind‐induced time history pressure data recorded in a wind tunnel and determined the design pressure and load coefficients at any selected probability level of non‐exceedance for reliability‐based structural design. Binh et al .…”