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Scale of Fluctuation of Geotechnical Parameters Estimated from CPTu and Laboratory Test Data
For a complete probabilistic characterization of a geotechnical parameter, its mean, variance, and the scale of fluctuation have to be known. While the mean and variance can be easily determined, determination of the scale of fluctuation is a little more complex. Knowledge of the scale of fluctuation is important in reliability-based design as it is used in implementing spatial averaging and computing the variance-reduction factor. Published values of scale of fluctuation of geotechnical parameters are based on widely sourced data and hence may not be most appropriate for local situations. Based on 11 CPTu soundings and laboratory test results of fine-grained soils from 15 boreholes at four different locations in Missouri, this paper uses the semivariogram function to determine the scale of fluctuation of geotechnical parameters. Owing to scale of fluctuation being dataset-dependent, differences between published values and the Missouri values determined in this study were observed. Spatial averaging effect, depending on magnitude of the reduction in variance of parameters, can potentially lead to a more optimal and cost-effective design.
Scale of Fluctuation of Geotechnical Parameters Estimated from CPTu and Laboratory Test Data
For a complete probabilistic characterization of a geotechnical parameter, its mean, variance, and the scale of fluctuation have to be known. While the mean and variance can be easily determined, determination of the scale of fluctuation is a little more complex. Knowledge of the scale of fluctuation is important in reliability-based design as it is used in implementing spatial averaging and computing the variance-reduction factor. Published values of scale of fluctuation of geotechnical parameters are based on widely sourced data and hence may not be most appropriate for local situations. Based on 11 CPTu soundings and laboratory test results of fine-grained soils from 15 boreholes at four different locations in Missouri, this paper uses the semivariogram function to determine the scale of fluctuation of geotechnical parameters. Owing to scale of fluctuation being dataset-dependent, differences between published values and the Missouri values determined in this study were observed. Spatial averaging effect, depending on magnitude of the reduction in variance of parameters, can potentially lead to a more optimal and cost-effective design.
Scale of Fluctuation of Geotechnical Parameters Estimated from CPTu and Laboratory Test Data
Onyejekwe, Site (author) / Ge, Louis (author)
Geo-Congress 2013 ; 2013 ; San Diego, California, United States
2013-03-04
Conference paper
Electronic Resource
English
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