Determination of Soil Parameters to Analyze Mechanical Behavior Using Lade’s Double-Surface Work-Hardening Model

Sewook Oh, Youngcheul Kwon, Junwon Seo

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

In this study, Lade’s double-surface work-hardening constitutive model was adopted which uses the elasto-plasticity model as a basic conceptual framework. The model can analyze work hardening and work softening of nonlinear stress-strain behavior, and is regarded as superior to other elasto-plasticity constitutive models in terms of estimation. In the double-surface work-hardening constitutive model, 14 soil parameters are needed to estimate soil behaviors. To determine them, laboratory tests—isotropical consolidation test and conventional compression test—were conducted. Determining of soil parameters is highly complicated and time-consuming; randomness cannot be ruled out in determining parameters that are sensitive to stress-strain estimation, and error may occur. For this reason, a linear and nonlinear regression analysis was used to determine soil parameters. In estimation of undrained behavior, the estimated stress-strain behavior based on the two constitutive models largely overlapped with the test results. However, in estimating drained behavior, the outcome of the two models and the test results were mostly the same, but between the two models, the double-surface work-hardening constitutive model had a sharper slope in initial stress state, and a smaller maximum deviatoric stress.

Original languageEnglish
Pages (from-to)465-473
Number of pages9
JournalMarine Georesources and Geotechnology
Volume34
Issue number5
DOIs
StatePublished - 3 Jul 2016

Keywords

  • Double-surface work-hardening model
  • elasto-plastic theory
  • granite soil
  • soil parameter
  • stress-strain relation

Fingerprint

Dive into the research topics of 'Determination of Soil Parameters to Analyze Mechanical Behavior Using Lade’s Double-Surface Work-Hardening Model'. Together they form a unique fingerprint.

Cite this