Case Studies
Dec 10, 2020

Liquefaction and Cyclic Softening at Balboa Boulevard during the 1994 Northridge Earthquake

Publication: Journal of Geotechnical and Geoenvironmental Engineering
Volume 147, Issue 2

Abstract

The seismic performance of Balboa Boulevard during the 1994 MW 6.7 Northridge earthquake was examined through nonlinear deformation analyses (NDAs) using advanced tools to (1) investigate the failure mechanism leading to ground deformations at this site; (2) evaluate the accuracy of the adopted analysis methods, engineering procedures, and state-of-the-art tools to reasonably estimate horizontal ground displacements; and (3) identify key factors and parameters contributing to earthquake-induced ground deformations at this site. One-dimensional (1D) liquefaction vulnerability indexes (LVIs) and permanent displacements using Newmark sliding block analyses were also estimated and compared against ground deformations observed after the earthquake. The geotechnical characterization of Balboa Boulevard was assessed based on field and laboratory data obtained from two investigation campaigns. Transitional probability geostatistics were used to develop stratigraphic models that capture the heterogeneity and the spatial variability patterns of sand-like and clay-like soils present at this site. The stratigraphic models were implemented in the finite difference software FLAC and the behavior of sand-like and clay-like soils simulated using the PM4Sand and PM4Silt constitutive models, respectively. Sensitivity analyses were performed to address uncertainties associated with the spatial variability of soils, input ground motions, the proportion of sand-like and clay-like soils within the soil deposit, and the strength properties of these materials. Results from NDAs suggest that a compounded effect of both liquefaction of sand-like soils and cyclic softening of clay-like soils led to the excessive ground deformations at Balboa Boulevard. This study sheds light on the importance of using appropriate engineering procedures and numerical modeling protocols in the prediction of deformation patterns, the selection of key input parameters, as well as the applicability of LVIs in complex sites.

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Data Availability Statement

Some or all data, models, or code generated or used during the study are available upon reasonable request. The manual, dynamic link library, and example calibration files for PM4Sand and PM4Silt are available at https://pm4sand.engr.ucdavis.edu/ and https://pm4silt.engr.ucdavis.edu, respectively. The USGS data along Balboa Boulevard are available at https://earthquake.usgs.gov/research/cpt/data/losangeles/.

Acknowledgments

The authors are grateful to Professors Ross W. Boulanger and Jason T. DeJong for valuable discussions on case history interpretation. Professor Norman A. Abrahamson was instrumental in ground motion development as well as in providing access to the SCGC and PG&E site investigation data. The authors’ work also benefited greatly from discussions with Dr. Christopher P. Krage and Professor Graham E. Fogg on transition probability geostatistics. Last but not least, the authors would like to thank Dr. Thomas L. Holzer for sharing his experience on the case history studied herein. The anonymous reviewers provided valuable suggestions for specific improvements, broader discussions, and clarifications that improved the paper. Any opinions or conclusions expressed herein are those of the authors and do not necessarily reflect the views of any of the named people or the represented organizations.

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Journal of Geotechnical and Geoenvironmental Engineering
Volume 147Issue 2February 2021

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Received: Mar 17, 2020
Accepted: Jul 30, 2020
Published online: Dec 10, 2020
Published in print: Feb 1, 2021
Discussion open until: May 10, 2021

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Graduate Student Researcher, Dept. of Civil and Environmental Engineering, Univ. of California, Davis, CA 95616 (corresponding author). ORCID: https://orcid.org/0000-0001-8552-2905. Email: [email protected]
Katerina Ziotopoulou, A.M.ASCE https://orcid.org/0000-0001-5494-497X
Assistant Professor, Dept. of Civil and Environmental Engineering, Univ. of California, Davis, CA 95616. ORCID: https://orcid.org/0000-0001-5494-497X
Craig A. Davis, M.ASCE
Consultant, Craig A. Davis Engineering, 27017 Vista Encantada Dr., Santa Clarita, CA 91354.

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