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Machine Learning-Based Cone Penetration Test (CPT) Data Interpretation
AIJR Proceedings, 2023Ground investigations (GI) are essential prior to the design of construction projects. Among the different GI tasks, classifying soils into groups with similar properties is a fundamental geotechnical engineering process. Currently, experienced geotechnical engineers manually conduct soil classification using empirical tables based on laboratory or in ...
Boyu Wang, Kelvin Tse, Clifford Phung
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Is the Cone Penetration Test (CPT) Useful for Arctic Site Investigation?
Volume 10: Polar and Arctic Science and Technology, 2014A warming Arctic provides increased opportunity for infrastructure development. Although the cone penetration test is used globally for site investigation in unfrozen soils, this discussion paper investigates the use of cone penetration testing to provide in situ data in frozen geomaterials.
Adrian B. McCallum +2 more
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Prediction of pile shaft resistance using cone penetration tests (CPTs)
Computers and Geotechnics, 2012Abstract Accurately predicting pile shaft resistance when designing pile foundations is necessary for ensuring appropriate structural and serviceability performance. The scope of this research includes four main components: (I) compiling shaft resistance datasets obtained from the published literature; (II) developing two artificial neural network ...
Mohammad Hassan Baziar +2 more
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Geostatistical analysis of cone penetration test (CPT) sounding using the modified Bartlett test
Canadian Geotechnical Journal, 2004More in situ tests are typically carried out over the same volume of soil in comparison to laboratory tests on undisturbed borehole samples. Hence, geostatistical analysis of in situ test records should in principle provide a more accurate and representative overview of spatial variation. A natural probabilistic model for correlated spatial data is the
Phoon, K.-K., Quek, S.-T., An, P.
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Semi-Empirical Method Interpretation of Cone Penetration Test (CPT) Data
Discovery and Innovation, 2001Cone Penetration Test (CPT) is a reliable technique for measuring subsurface soil friction, cohesion and bearing capacity for pile foundation. In some parts of the world the mechanical cone method is commonly employed and the mobilized cone tip resistance is representative.
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A Small Volume Calibration Chamber for Cone Penetration Testing (CPT) on Submarine Soils
2016A new small volume CPT calibration chamber with dynamically controlled boundary conditions has been built to improve the correlation between in-situ data and soil parameters. The sample volume in the new CPT calibration chamber has a diameter of 30 cm and a height of 54.5 cm. Therefore, it is possible to use reconstituted samples of limited quantity, e.
Matthias Fleischer +3 more
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Thermal Cone Penetration Test (T-CPT)
2018Geo ...
Vardon, P.J. (author) +2 more
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Determination and Evaluation of USCS Soil Class by Cone Penetration Test (CPT)
2020In all geotechnical studies the classification of soil is important both for correct foundation design and prediction of soil behavior. In practice, determination of the soil class can be carried out by drilling or research pit works in the field. Besides, approaches to determine of soil classes from Cone Penetration Test (CPT) data are used.
ÇOBANOĞLU, İbrahim +1 more
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New ultimate pile capacity prediction method based on cone penetration test (CPT)
Canadian Geotechnical Journal, 2012Our research evaluated current cone penetration test (CPT) pile design methodologies (Schmertmann, Laboratoire Central des Ponts et Chaussées (LCPC), etc.), modified one of these methods (Philipponnat method), and proposed a new one to improve future driven pile designs.
Zhihong Hu +4 more
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Estimation of grain characteristics of soils by using cone penetration test (CPT) data
2020Due to lack of sou sampling during a conventional cone penetration testing (CPT), it is necessary to classify soils based on recorded tip and sleeve friction and pore pressure (if available) values. However, currently available soil classification models are based on deterministic and judgemental determination of soil classification boundaries which do
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