Ching, J.J.ChingPhoon, K.-K.K.-K.PhoonJIAN-YE CHING2021-02-042021-02-042019https://scholars.lib.ntu.edu.tw/handle/123456789/547282https://www.scopus.com/inward/record.uri?eid=2-s2.0-85126492096&partnerID=40&md5=1a4d14bc5720793009f4ad3a3c7eba0eThe scale of fluctuation (SOF) of a spatially variable soil property has been known to be the most important parameter that characterizes the effect of spatial averaging, and the type of the auto-correlation model is thought to be of limited impact. This paper shows that this statement (SOF is the most important parameter) is true if the limit state function is completely governed by spatial averaging. However, this paper also shows that the sample path smoothness can have signifcant impact if the limit state function is not completely governed by spatial averaging. Three practical examples are presented to illustrate the effect of sample path smoothness. © 13th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2019. All rights reserved.Industrial engineering; Geotechnical; Limit state functions; Sample path; Scale of fluctuation; Soil property; Spatial averaging; Engineeringconference paper2-s2.0-85126492096Ching, J.;Phoon, K.-K.