Abstract
Abstract The simulation of random velocity and pressure signals at un-instrumented locations of a structure conditioned on measured records is often needed in wind engineering. Malfunctioning equipment may leave a hole in a wind data set or information may be lacking due to a limited number of instruments or difficulty in monitoring at certain locations. This paper presents a non-Gaussian conditional simulation technique in the context of non-Gaussian pressure fluctuations in separated flow regions, or velocity fluctuations in atmospheric flows. First, a uni-variate non-Gaussian simulation technique is developed. This is extended to multi-variate, and subsequently utilized as a mapping technique in a conditional simulation algorithm. This technique is applied to both the extension of existing records beyond recorded lengths, and the simulation of missing or damaged records based on measured data at other locations.
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