Regression models for dynamic properties of highly organic soils

Tadahiro Kishida, Ross W. Boulanger, Norman A. Abrahamson, Timothy M. Wehling, Michael W. Driller

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31 Scopus citations


Regression models are presented for the dynamic properties of highly organic soils. The models are based on a database of triaxial and resonant-column/torsional-shear cyclic loading tests on thin walled tube samples mainly retrieved from the Sacramento-San Joaquin Delta. The soils in this database range from highly fibrous peat to amorphous organic clays with organic contents (OC) ranging from 14-81%, water contents ranging from 88-495%, total densities (ρ) ranging from 1.056-1.450 Mg/m3, and effective consolidation stresses (σ′vc) ranging from 11-135kPa. The secant shear modulus (G) and equivalent damping ratio (ξ) were modeled as variables dependent on the shear strain amplitude (γc), consolidation stress (σ′vc), and OC. The residuals of the regression models were analyzed against other predictor variables including undisturbed density (ρ), loading frequency (f), and number of loading cycles (N). A regression model for ρ was developed, and conditional probabilities were used to improve the estimation of G and ξ when ρ measurements were available. The database of in situ measurements of shear wave velocity (Vs) was used to adjust the regression model for in situ conditions. Variances and correlations in the regression models are presented.

Original languageBritish English
Pages (from-to)533-543
Number of pages11
JournalJournal of Geotechnical and Geoenvironmental Engineering
Issue number4
StatePublished - 2009


  • Damping
  • Dynamic properties
  • Organic matter
  • Peat
  • Regression models
  • Shear modulus
  • Soil properties


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