Probabilistic Simulation of Triaxial Undrained Cyclic Behavior of Soils

In this paper, a probabilistic framework based on Fokker-Planck-Kolmogorov (FPK) approach has been applied to simulate triaxial cyclic constitutive behavior of uncertain soils. The framework builds upon previous work of the writers, and it has been extended for cyclic probabilistic simulation of triaxial undrained behavior of soils. von Mises elastic-perfectly plastic material model is considered. It is shown that by using probabilistic framework, some of the most important aspects of soil behavior under cyclic loading can be captured even with a simple elastic-perfectly plastic constitutive model. Keywords—Elasto-plasticity, uncertainty, soils, Fokker-Planck equation, Fourier Spectral method, Finite Difference method.

[1]  B. Jeremić,et al.  Probabilistic yielding and cyclic behavior of geomaterials , 2010 .

[2]  Robert V. Brill,et al.  Applied Statistics and Probability for Engineers , 2004, Technometrics.

[3]  Braja M. Das,et al.  Soil mechanics laboratory manual , 1982 .

[4]  Ross W. Boulanger,et al.  Formulation of a sand plasticity plane-strain model for earthquake engineering applications , 2013 .

[5]  Boris Jeremić,et al.  Probabilistic elasto-plasticity: formulation in 1D , 2007 .

[6]  S. Lacasse,et al.  Uncertainties in characterising soil properties , 1996 .

[7]  S. Koutsourelakis,et al.  Risk assessment of an interacting structure–soil system due to liquefaction , 2002 .

[8]  Antonios Vytiniotis Contributions to the analysis and mitigation of liquefaction in loose sand slopes , 2011 .

[9]  G. Deodatis,et al.  EFFECTS OF SPATIAL VARIABILITY ON SOIL LIQUEFACTION: SOME DESIGN RECOMMENDATIONS , 1997 .

[10]  Z. Hashin Analysis of Composite Materials—A Survey , 1983 .

[11]  Boris Jeremić,et al.  Soil Uncertainty and Its Influence on Simulated G/G max and Damping Behavior , 2011 .

[12]  Gregory B. Baecher,et al.  Estimating Autocovariance of In‐Situ Soil Properties , 1993 .

[13]  Douglas C. Montgomery,et al.  Applied Statistics and Probability for Engineers, Third edition , 1994 .

[14]  D. V. Griffiths,et al.  Bearing Capacity of Rough Rigid Strip Footing on Cohesive Soil: Probabilistic Study , 2002 .

[15]  Wai-Fah Chen,et al.  Plasticity for Structural Engineers , 1988 .

[16]  Boris Jeremić,et al.  On probabilistic yielding of materials , 2009 .

[17]  Kok-Kwang Phoon,et al.  Evaluation of Geotechnical Property Variability , 1999 .

[18]  Gordon A. Fenton,et al.  Estimation for Stochastic Soil Models , 1999 .

[19]  Gordon A. Fenton,et al.  FINITE ELEMENT MODELING OF SETTLEMENTS ON SPATIALLY RANDOM SOIL. TECHNICAL NOTE , 1996 .

[20]  Majid T. Manzari,et al.  SIMPLE PLASTICITY SAND MODEL ACCOUNTING FOR FABRIC CHANGE EFFECTS , 2004 .

[21]  Dennis R. Hiltunen,et al.  Characterization of spectral analysis of surface waves shear wave velocity measurement uncertainty , 2004 .

[22]  A. Schofield,et al.  Critical State Soil Mechanics , 1968 .

[23]  K. Phoon,et al.  Characterization of Geotechnical Variability , 1999 .

[24]  Michał Kleiber,et al.  The Stochastic Finite Element Method: Basic Perturbation Technique and Computer Implementation , 1993 .

[25]  Nelson F. F. Ebecken,et al.  Probabilistic and possibilistic methods for the elastoplastic analysis of soils , 2001 .

[26]  Boris Jeremić,et al.  The role of nonlinear hardening/softening in probabilistic elasto‐plasticity , 2007 .

[27]  Boris Jeremić,et al.  Probabilistic elasto-plasticity: solution and verification in 1D , 2007 .