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CPT-Based Probabilistic Soil Characterization and Classification
Date
2009-01-01
Author
Çetin, Kemal Önder
Ozan, Cem
Metadata
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This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
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Due to lack of soil sampling during conventional cone penetration testing, it is necessary to characterize and classify soils based on tip and sleeve friction values as well as pore pressure induced during and after penetration. Currently available semiempirical methods exhibit a significant variability in the estimation of soil type. Within the confines of this paper it is attempted to present a new probabilistic cone penetration test (CPT)-based soil characterization and classification methodology, which addresses the uncertainties intrinsic to the problem. For this purpose, a database composed of normalized corrected cone tip resistance (q(t,1,net)), normalized friction ratio (F(R)), fines content (FC), liquid limit (LL), plasticity index (PI), and soil type based on the unified soil classification system was complied. Soil classification was performed by laboratory testing of the standard penetration test disturbed samples retrieved from the boreholes within mostly 2 m of each CPT hole. The resulting database was probabilistically assessed through Bayesian updating methodology allowing full and consistent representation of relevant uncertainties, including (1) model imperfection; (2) statistical uncertainty; and (3) inherent variability. As a conclusion, different sets of FC, LL, PI, and A-line boundary curves along with a new CPT-based, simplified soil classification scheme are proposed in the q(t,1,net) and F(R) domain. Probabilistic uses of the proposed models are illustrated through a set of illustrative examples.
Subject Keywords
Geotechnical Engineering and Engineering Geology
,
General Environmental Science
URI
https://hdl.handle.net/11511/37284
Journal
JOURNAL OF GEOTECHNICAL AND GEOENVIRONMENTAL ENGINEERING
DOI
https://doi.org/10.1061/(asce)1090-0241(2009)135:1(84)
Collections
Department of Civil Engineering, Article