Abstract

The most commonly used approach for evaluating liquefaction triggering is via stress-based simplified models. Proposed herein is a model for evaluating liquefaction triggering where the imposed loading and ability of the soil to resist liquefaction are quantified in terms of normalized dissipated energy per unit volume of soil (ΔW/σvo), computed within a total stress framework. The proposed model overcomes limitations of many previously proposed energy-based triggering models. Additionally, the proposed energy-based model unites concepts from both stress-based and strain-based procedures, overcoming some of their limitations, and in its simplified form is implemented similarly to the simplified stress-based models. An updated field case history database is used to develop probabilistic limit-state curves. These limit-state curves express ΔW/σvo required to trigger liquefaction as a function of corrected cone penetration test tip resistance (qc1Ncs) for different probabilities of liquefaction (PL) and have comparable predictive abilities to stress-based limit-state curves in terms of number of correct predictions for the cases analyzed. However, because dissipated energy is a scalar quantity, multidirectional shaking and other effects such as soil–structure interaction, nonvertical wave fields, and topographic site effects can readily be accounted for. Additionally, the applicability of the proposed triggering curve is not limited to earthquake loading but, rather, can be used in relation to other sources of vibrations (e.g., construction vibrations and explosive loading, among others).

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Data Availability Statement

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

Acknowledgments

This study is based on work supported in part by the National Science Foundation (NSF) Grant Nos. CMMI-1435494, CMMI-1825189, and CMMI-1937984. The authors gratefully acknowledge this support; however, any opinions, findings, and conclusions or recommendations expressed in this paper are those of the authors and do not necessarily reflect the views of NSF. The authors would like to thank Dr. Sam Lasley for his work (Lasley 2015) on which this study builds. The authors also gratefully acknowledge Dr. Brett Maurer for providing many of the digitized CPT soundings and geographic coordinates for case histories in the database and Dr. Sneha Upadhyaya for providing updated amax values for the Darfield and Christchurch events.

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Journal of Geotechnical and Geoenvironmental Engineering
Volume 149Issue 11November 2023

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Received: Oct 7, 2022
Accepted: Jul 6, 2023
Published online: Sep 6, 2023
Published in print: Nov 1, 2023
Discussion open until: Feb 6, 2024

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Research Engineer, Dept. of Geosciences and Engineering, Southwest Research Institute, San Antonio, TX 78238. ORCID: https://orcid.org/0000-0001-8696-7447. Email: [email protected]
Professor, Dept. of Civil and Environmental Engineering, Virginia Tech, Blacksburg, VA 24061 (corresponding author). ORCID: https://orcid.org/0000-0002-5648-2331. Email: [email protected]
Professor, Dept. of Civil and Environmental Engineering, Virginia Tech, Blacksburg, VA 24061. ORCID: https://orcid.org/0000-0002-8384-4721. Email: [email protected]
J. K. Mitchell, Hon.M.ASCE [email protected]
University Distinguished Professor Emeritus, Dept. of Civil and Environmental Engineering, Virginia Tech, Blacksburg, VA 24061. Email: [email protected]

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