Geotechnical Characterization and Random Field Modeling of Desiccated Clay

AbstractAn extensive set of in situ and laboratory test data is presented for a footing load test site east of Houston, Texas, in desiccated Beaumont clay. The in situ test program included standard and cone penetration tests (CPTs), the latter of which was selected for statistical analysis to produ...

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Published inJournal of geotechnical and geoenvironmental engineering Vol. 138; no. 11; pp. 1301 - 1313
Main Authors Stuedlein, Armin W, Kramer, Steven L, Arduino, Pedro, Holtz, Robert D
Format Journal Article
LanguageEnglish
Published Reston, VA American Society of Civil Engineers 01.11.2012
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Abstract AbstractAn extensive set of in situ and laboratory test data is presented for a footing load test site east of Houston, Texas, in desiccated Beaumont clay. The in situ test program included standard and cone penetration tests (CPTs), the latter of which was selected for statistical analysis to produce vertical and horizontal random field model parameters for corrected cone tip resistance. Given the relatively high sampling frequency of the cone tip resistance in the vertical direction, the vertical random field model parameters were determined using the modified Bartlett’s test statistic with fitted autocorrelation models subject to a strict fitting criterion. Horizontal random field model parameters were generated by collapsing the two-dimensional distribution of the CPTs to a one-dimensional representation and by using less stringent evaluation of the autocorrelation. The results of this study indicate that Beaumont clay exhibits greater inherent spatial variability than previously reported at other clay sites, which is attributed to the secondary structure of the desiccated clay. A companion paper discusses the performance of a footing load test in the context of spatial and transformation uncertainty.
AbstractList An extensive set of in situ and laboratory test data is presented for a footing load test site east of Houston, Texas, in desiccated Beaumont clay. The in situ test program included standard and cone penetration tests (CPTs), the latter of which was selected for statistical analysis to produce vertical and horizontal random field model parameters for corrected cone tip resistance. Given the relatively high sampling frequency of the cone tip resistance in the vertical direction, the vertical random field model parameters were determined using the modified Bartlett's test statistic with fitted autocorrelation models subject to a strict fitting criterion. Horizontal random field model parameters were generated by collapsing the two-dimensional distribution of the CPTs to a one-dimensional representation and by using less stringent evaluation of the autocorrelation. The results of this study indicate that Beaumont clay exhibits greater inherent spatial variability than previously reported at other clay sites, which is attributed to the secondary structure of the desiccated clay. A companion paper discusses the performance of a footing load test in the context of spatial and transformation uncertainty.
AbstractAn extensive set of in situ and laboratory test data is presented for a footing load test site east of Houston, Texas, in desiccated Beaumont clay. The in situ test program included standard and cone penetration tests (CPTs), the latter of which was selected for statistical analysis to produce vertical and horizontal random field model parameters for corrected cone tip resistance. Given the relatively high sampling frequency of the cone tip resistance in the vertical direction, the vertical random field model parameters were determined using the modified Bartlett’s test statistic with fitted autocorrelation models subject to a strict fitting criterion. Horizontal random field model parameters were generated by collapsing the two-dimensional distribution of the CPTs to a one-dimensional representation and by using less stringent evaluation of the autocorrelation. The results of this study indicate that Beaumont clay exhibits greater inherent spatial variability than previously reported at other clay sites, which is attributed to the secondary structure of the desiccated clay. A companion paper discusses the performance of a footing load test in the context of spatial and transformation uncertainty.
Author Stuedlein, Armin W
Kramer, Steven L
Arduino, Pedro
Holtz, Robert D
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  organization: Univ. of Washington Professor Emeritus, Dept. of Civil and Environmental Engineering, , Box 352700, Seattle, WA 98195
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Cites_doi 10.1139/cgj-36-4-612
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Issue 11
Keywords Cone penetration tests
Clay
Stochastic model
Site analysis
Desiccation
Property of soil
Penetration test
Modeling
Statistics
Characterization
Clays
Random field
Soil properties
Stochastic models
Site investigation
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Snippet AbstractAn extensive set of in situ and laboratory test data is presented for a footing load test site east of Houston, Texas, in desiccated Beaumont clay. The...
An extensive set of in situ and laboratory test data is presented for a footing load test site east of Houston, Texas, in desiccated Beaumont clay. The in situ...
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SubjectTerms Applied sciences
Autocorrelation
Buildings. Public works
Clay (material)
Exact sciences and technology
Fields (mathematics)
Geotechnics
Load tests
Mathematical models
Parameter modification
Parameters
Soil investigations. Testing
Technical Papers
Title Geotechnical Characterization and Random Field Modeling of Desiccated Clay
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