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 in | Journal of geotechnical and geoenvironmental engineering Vol. 138; no. 11; pp. 1301 - 1313 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
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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. |
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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 |
Author_xml | – sequence: 1 givenname: Armin W surname: Stuedlein fullname: Stuedlein, Armin W email: armin.stuedlein@oregonstate.edu organization: Oregon State Univ. Assistant Professor, School of Civil and Construction Engineering, , 220 Owen Hall, Corvallis, OR 97331 (corresponding author). E-mail – sequence: 2 givenname: Steven L surname: Kramer fullname: Kramer, Steven L organization: Univ. of Washington Professor, Dept. of Civil and Environmental Engineering, , Box 352700, Seattle, WA 98195 – sequence: 3 givenname: Pedro surname: Arduino fullname: Arduino, Pedro organization: Univ. of Washington Associate Professor, Dept. of Civil and Environmental Engineering, , Box 352700, Seattle, WA 98195 – sequence: 4 givenname: Robert D surname: Holtz fullname: Holtz, Robert D 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 10.1007/978-1-4615-7103-2_10 10.1061/AJGEB6.0000066 10.1680/geot.55.1.3.58591 10.1061/(ASCE)1090-0241(1999)125:6(470) 10.1139/t03-091 10.1061/41183(418)7 10.1061/(ASCE)1090-0241(2002)128:7(558) 10.1139/t87-070 10.1061/AJGEB6.0000517 10.1061/(ASCE)0733-9410(1993)119:1(147) 10.1061/(ASCE)1090-0241(1997)123:5(393) 10.1061/(ASCE)1090-0241(1999)125:1(79.2) 10.1061/(ASCE)1090-0241(2003)129:7(649) 10.1061/(ASCE)0733-9410(1991)117:4(540) 10.1061/9780784406694.ch01 10.1061/(ASCE)1090-0241(1999)125:6(486) 10.1061/(ASCE)GT.1943-5606.0000706 10.1061/(ASCE)0733-9410(1983)109:1(56) 10.1061/9780784404843.ch04 10.1139/t92-080 10.1061/9780784406694.ch03 |
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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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