NIST Time|NIST Home|About NIST|Contact NIST

HomeAll Years:AuthorKeywordTitle2005-2010:AuthorKeywordTitle

Peak Non-Gaussian Wind Effects for Database-Assisted Low-Rise Building Design.

pdf icon Peak Non-Gaussian Wind Effects for Database-Assisted Low-Rise Building Design. (344 K)
Sadek, F.; Simiu, E.

Journal of Engineering Mechanics, Vol. 128, No. 5, 530-539, May 2002.


wind effects; building design; databases; building codes; database-assisted design; probability distributions; non-Gaussian procedures; stochastic procedure; structural reliability; wind loads; low-rise buildings


Procedures for estimating the peaks of the stochastic response of tall buildings to wind loading are based on the assumption that the response is Gaussian. Those procedures are therefore inapplicable to low-rise buildings, in which wind-induced internal forces have generally non-Gaussian marginal distributions. An automated procedure is developed for obtaining efficiently sample statistics of internal force peaks for low-rise building design and codification. The procedure is designed for use in software for calculating internal force time series by the database-assisted design approach. A preliminary step in the development of the procedure is the identification of the appropriate marginal probability distribution of the time series using the probability plot correlation coefficient method. The result obtained is that the gamma distribution and a normal distribution are appropriate for estimating the peaks corresponding, respectively, to the longer and shorter tail of the time series' histograms. The distribution of the peaks is then estimated by using the standard translation processes approach. Because estimates obtained from this approach are based on the entire information contained in the time series, they are more stable than estimates based on observed peaks. The procedure can be used to establish minimum acceptable requirements with respect to the duration and sampling rate of the time series of interest, so that the software used for database-assisted design be both efficient and accurate.