TECHNICAL PAPERS
May 15, 2002

State Pressure Index for Modeling Sand Behavior

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Publication: Journal of Geotechnical and Geoenvironmental Engineering
Volume 128, Issue 6

Abstract

The effort to model sand behavior within the framework of critical-state soil mechanics would benefit from a state variable that relates the current void ratio and mean pressure of the soil to its void ratio and mean pressure at the critical state. In this paper we propose a state pressure index, Ip, which is defined as the ratio of the current mean pressure to the mean pressure at the critical state that corresponds to the current void ratio. Using this state pressure index, a bounding surface hypoplasticity model for sand is modified so that the phase transformation and failure stress ratios both depend on Ip and merge into the critical-state stress ratio at failure. The Ip dependency introduced enables use of a single set of model constants in modeling sand behavior for various initial confining pressures and densities under both undrained and drained conditions. Dilatancy, strain softening, and strain hardening are simulated for both loose and dense sands. Simulations from the modified model are compared with results of laboratory tests of drained and undrained triaxial compression.

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Go to Journal of Geotechnical and Geoenvironmental Engineering
Journal of Geotechnical and Geoenvironmental Engineering
Volume 128Issue 6June 2002
Pages: 511 - 519

History

Received: Jul 11, 2000
Accepted: Nov 27, 2001
Published online: May 15, 2002
Published in print: Jun 2002

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Authors

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Zhi-Liang Wang, M.ASCE
Senior Engineer, Geomatrix Consultants, 2101 Webster St., 12th Fl., Oakland, CA 94612.
Yannis F. Dafalias, M.ASCE
Professor, Dept. of Civil and Environmental Engineering, Univ. of California at Davis, Davis, CA 95616; also at Division of Mechanics, National Technical Univ. of Athens, Hellas, Greece.
Xiang-Song Li, M.ASCE
Associate Professor, Dept. of Civil and Structural Engineering, Hong Kong Univ. of Science and Technology, Clearwater Bay, Kowloon, Hong Kong.
Faiz I. Makdisi, M.ASCE
Principal Engineer, Geomatrix Consultants, 2101 Webster St., 12th Fl., Oakland, CA 94612.

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