4.5 Article

Use of a bounding surface model in predicting element tests and capacity in boundary value problems

期刊

CANADIAN GEOTECHNICAL JOURNAL
卷 58, 期 6, 页码 782-799

出版社

CANADIAN SCIENCE PUBLISHING
DOI: 10.1139/cgj-2019-0841

关键词

bounding surface plasticity model; non-associated plasticity; model calibration; sands; circular footings

资金

  1. Lloyd's Register Foundation

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This paper examines the merit of a bounding surface plasticity model, based on the model reported by Dafalias and Manzari. By introducing simple yet practical changes and an optimization technique for calibrating model parameters, uncertainties in parameter determination can be reduced to achieve good agreement with experimental results. The model shows potential in simulating responses, but also faces challenges in capturing global responses at all strain levels.
The paper examines the merit of a bounding surface plasticity model at both element and system level. The governing equations are based essentially on the parent bounding surface plasticity model reported by Dafalias and Manzari in 2004 with some simple yet practical changes to enable realistic predictions for monotonic loading along different load paths. This is achieved by scaling the influence of the state parameter based on a normalised measure of anisotropy, thus leading to suitable change in dilatancy and plastic modulus for different loading directions. The paper presents a simple optimisation technique for calibrating the model parameters, providing an objective approach to reduce the uncertainties in parameter determination that leads to good agreement with responses measured in drained and undrained triaxial tests. The model has also been implemented for the boundary value problem of a buried circular plate anchor and a surface circular footing. Comparisons of the simulated responses with those measured in centrifuge tests demonstrate the potential of the model, whilst also pointing to the challenges in capturing the global response at all strain levels, even for rather simple boundary value problems.

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