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A cone penetration test database for multiple thin-layer correction procedure development

delete2024-01-04
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PRE
AI
K
Kaleigh M. Yost *
A
Alba Yerro
E
Eileen Martin
R
Russell A. Green
DOI:10.1177/87552930231217002delete
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Abstract

Abstract

En 中文
Cone penetration tests (CPTs) are a commonly used in situ method to characterize soil. The recorded data are used for various applications, including earthquake-induced liquefaction evaluation. However, data recorded at a given depth in a CPT sounding are influenced by the properties of all the soil that falls within the zone of influence around the cone tip rather than only the soil at that particular depth. This causes data to be blurred or averaged in layered zones, a phenomenon referred to as multiple thin-layer effects. Multiple thin-layer effects can result in the inaccurate characterization of the thickness and stiffness of thin, interbedded layers. Correction procedures have been proposed to adjust CPT tip resistance for multiple thin-layer effects, but many procedures become less effective as layer thickness decreases. To compare or improve these procedures and to develop new ones, it is critical to have pairs of measured tip resistance (qm) and true tip resistance (qt) data, where qm is the tip resistance recorded by the CPT in a layered profile, and qt represents the tip resistance that would be measured in the profile absent of multiple thin-layer effects. Unfortunately, data sets containing qm and qt pairs are extremely rare. Accordingly, this article presents a unique database containing laboratory and numerically generated CPT data from 49 highly interlayered soil profiles. Both qm and qt are provided for each profile. An accompanying Jupyter notebook is provided to facilitate the use of the data and prepare them for future statistical learning (or other) applications to support multiple thin-layer correction procedure development.
Keywords:
Multiple thin-layer effects
CPT
cone penetration test
liquefaction
material point method
calibration chamber

Journal

Earthquake Spectra cover
Earthquake Spectra
IF:
3.7
Papers:
2.3K
Citations:
9.7K

Organization

C
Colorado School of Mines
Scholars:
5.6K
Papers: 5.5K
Citations: 1.0W
Cited Papers

Cited Papers

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Unsupervised machine learning for detecting soil layer boundaries from cone penetration test data
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errHudson, Kenneth S.; Ulmer, Kristin J.; Zimmaro, Paolo; Kramer, Steven L.; Stewart, Jonathan P.; Brandenberg, Scott J.
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Addressing complexities in MPM modeling of calibration chamber cone penetrometer tests in homogenous and highly interlayered soils
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errYost, Kaleigh M.; Martinelli, Mario; Yerro, Alba; Green, Russell A.; de Lange, Dirk A.
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Two-phase Material Point Method applied to the study of cone penetration
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PREAI
errCeccato, Francesca; Beuth, Lars; Vermeer, Pieter A.; Simonini, Paolo
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Robust identification and characterization of thin soil layers in cone penetration data by piecewise layer optimization
err2022-01-01
err4
errOAAI
errCooper, Jon; Martin, Eileen R.; Yost, Kaleigh M.; Yerro, Alba; Green, Russell A.
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Gamma-Alumina (γ-Al2O3) by XPS
err1998-01-01
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PREAI
errJohn A. Rotole; Peter M. A. Sherwood
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