Effect of Spatial Correlation of Cone Tip Resistance on the Bearing Capacity of Piles

AbstractThe cone tip resistance (qc) from cone penetration tests (CPTs) is widely used to determine the bearing capacity of piles. Although it is widely known that soil properties are spatially correlated, the spatial correlation of qc is not considered in the current methods for predicting the bearing capacity of piles. In this paper, a probabilistic approach is presented for predicting the bearing capacity of driven piles in clay by considering the spatial correlation between qcsVn (the spatial average of qc of the bottom soil layer within the pile length) and qcbV (the spatial average of qc over an interval near the pile base). Parametric studies are conducted to evaluate the effect of the spatial correlation between qcsVn and qcbV on the bearing capacity of piles. The results indicate that it is important to consider the spatial correlation between qcsVn and qcbV in the probabilistic prediction of the bearing capacities of piles. Ignoring the spatial correlation between qcsVn and qcbV will underestima...

[1]  Paul Chiasson,et al.  Characterizing spatial variability of a clay by geostatistics , 1995 .

[2]  Mohamed A. Shahin,et al.  Intelligent computing for modeling axial capacity of pile foundations , 2010 .

[3]  Gregory B. Baecher,et al.  Estimating Autocovariance of In‐Situ Soil Properties , 1993 .

[4]  E. Vanmarcke.  Probabilistic Modeling of Soil Profiles , 1977 .

[5]  C. Allin Cornell,et al.  Probability Based Load Criteria: Assessment of Current Design Practice , 1982 .

[6]  Yu WangY. Wang,et al.  Practical reliability analysis of slope stability by advanced Monte Carlo simulations in a spreadsheet , 2011 .

[7]  Joshua R. Omer,et al.  Full-scale pile tests in sand and development of a computer program for predicting load capacity , 2007 .

[8]  Peter K. Robertson,et al.  Simplified geostatistical analysis of earthquake-induced ground response at the Wildlife Site, California, U.S.A , 2003 .

[9]  Andrzej S. Nowak,et al.  Load model for bridge design code , 1994 .

[10]  Murad Y. Abu-Farsakh,et al.  Assessment of Direct Cone Penetration Test Methods for Predicting the Ultimate Capacity of Friction Driven Piles , 2004 .

[11]  Guojun Cai,et al.  Assessment of direct CPT and CPTU methods for predicting the ultimate bearing capacity of single piles , 2009 .

[12]  Claudio Cherubini,et al.  Large Sample Spacing in Evaluation of Vertical Strength Variability of Clayey Soil , 2002 .

[13]  Gordon A. Fenton,et al.  Probabilistic slope stability analysis by finite elements , 2004 .

[14]  András Mahler.  USE OF CONE PENETRATION TEST IN PILE DESIGN , 2005 .

[15]  G. L. Sivakumar Babu,et al.  The Effect of Spatial Correlation of Cone Tip Resistance on the Bearing Capacity of Shallow Foundations , 2008 .

[16]  Pinnaduwa Kulatilake,et al.  Spatial variation of cone tip resistance for the clay site at Texas A&M University , 2003 .

[17]  Jean-Louis Briaud,et al.  MEASURED AND PREDICTED AXIAL RESPONSE OF 98 PILES , 1988 .

[18]  F. L. Beringen,et al.  Pile foundations for large North Sea structures , 1979 .

[19]  G. L. Sivakumar Babu,et al.  Effect of soil variability on reliability of soil slopes , 2004 .

[20]  Bruce R. Ellingwood,et al.  Wind Load Statistics for Probability-Based Structural Design , 1999 .

[21]  D. V. Griffiths,et al.  Bearing capacity of spatially random soil: the undrained clay Prandtl problem revisited , 2001 .

[22]  Raymond J. Krizek,et al.  STOCHASTIC FORMULATION OF SOIL PROPERTIES. , 1975 .

[23]  Jin-Jian Chen,et al.  Effect of spatial correlation of standard penetration test (SPT) data on bearing capacity of driven piles in sand , 2012 .

[24]  G. Baecher.  Reliability and Statistics in Geotechnical Engineering , 2003 .

[25]  Chien-Hsun Chen,et al.  Spatial correlation structures of CPT data in a liquefaction site , 2010 .

[26]  P. Nelson,et al.  Uncertainty in the geologic environment : from theory to practice : proceedings of Uncertainty '96, July 31-August 3, 1996, Madison, Wisconsin , 1996 .

[27]  Paul W. Mayne,et al.  Geostatistical Assessment of Spatial Variability in Piezocone Tests , 1996 .