Technical Papers
Dec 15, 2021

MPM Modeling of Cone Penetrometer Testing for Multiple Thin-Layer Effects in Complex Soil Stratigraphy

Publication: Journal of Geotechnical and Geoenvironmental Engineering
Volume 148, Issue 2

Abstract

Cone penetrometer testing (CPT) is a frequently used soil characterization technique for liquefaction assessment; however, this technique has shortcomings in accurately characterizing very thin soil layers having thicknesses less than two to three times the diameter of the cone. In this study, the material point method (MPM) is used to generate numerical “measured” (or “blurred”) CPT tip resistance (qm) in complex soil profiles. Results show that MPM is capable of accurately simulating qm in soil profiles with layers as thin as 20 mm, even when using basic constitutive models and simplified drainage conditions. It is further shown that MPM simulations are able to replicate the tendency of the CPT to smear the boundaries between very thin, interbedded soil layers in a way that obscures their true thickness and stiffness (typically referred to as thin-layer, transition-zone, or multiple thin-layer effects). While previous numerical studies of CPT have been performed in profiles composed of two or three layers, this study considers highly interlayered profiles with upwards of 27 soil layers. Difficulties of developing and implementing multiple thin-layer corrections are presented. It is shown that a numerical framework like MPM can generate a larger set of data for the development and validation of multiple thin-layer correction procedures with the aim of improving liquefaction severity predictions in complex soil profiles.

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Data Availability Statement

Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.

Acknowledgments

This research was partially funded by National Science Foundation (NSF) Grant Nos. CMMI-1825189 and CMMI-1937984. This support is gratefully acknowledged. Additionally, we thank Julian Bommer, Imperial College London, and Jan van Elk, NAM, as well as all the individuals from NAM, Shell, and Deltares for the discussions that both prompted and informed our efforts to investigate thin layer effects. However, any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of NSF, or the others acknowledged.

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Go to Journal of Geotechnical and Geoenvironmental Engineering
Journal of Geotechnical and Geoenvironmental Engineering
Volume 148Issue 2February 2022

History

Received: Mar 23, 2021
Accepted: Oct 7, 2021
Published online: Dec 15, 2021
Published in print: Feb 1, 2022
Discussion open until: May 15, 2022

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Kaleigh M. Yost, S.M.ASCE https://orcid.org/0000-0002-1795-0606
Graduate Research Assistant, Dept. of Civil and Environmental Engineering, Virginia Tech, Blacksburg, VA 24061. ORCID: https://orcid.org/0000-0002-1795-0606
Alba Yerro, M.ASCE [email protected]
Assistant Professor, Dept. of Civil and Environmental Engineering, Virginia Tech, Blacksburg, VA 24061 (corresponding author). Email: [email protected]
Russell A. Green, F.ASCE
Professor, Dept. of Civil and Environmental Engineering, Virginia Tech, Blacksburg, VA 24061.
Assistant Professor, Dept. of Mathematics, Virginia Tech, Blacksburg, VA 24061. ORCID: https://orcid.org/0000-0002-3420-4971
Jon Cooper
Graduate Research Assistant, Dept. of Mathematics, Virginia Tech, Blacksburg, VA 24061.

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