PROBABILISTIC CALIBRATION OF A SOIL MODEL

[1]  R. Ghanem,et al.  Stochastic Finite Elements: A Spectral Approach , 1990 .

[2]  S. Sture,et al.  Digital Imaging Techniques for Assessment of Homogeneity of Granular Materials , 1996 .

[3]  Gioacchino Viggiani,et al.  Strain localization in sand: an overview of the experimental results obtained in Grenoble using stereophotogrammetry , 2004 .

[4]  Kennet Axelsson,et al.  Effects of end restraint and strain rate in triaxial tests , 1997 .

[5]  Mircea Grigoriu,et al.  Applied non-Gaussian processes : examples, theory, simulation, linear random vibration, and MATLAB solutions , 1995 .

[6]  Gioacchino Viggiani,et al.  Shear bands in plane strain compression of loose sand , 1997 .

[7]  Jan A. Snyman,et al.  The LFOPC leap-frog algorithm for constrained optimization , 2000 .

[8]  W. Allen Marr Geotechnical Measurements: Lab and Field , 2000 .

[9]  M. El-Sohby INITIAL FABRICS AND THEIR RELATIONS TO MECHANICAL PROPERTIES OF GRANULAR MATERIAL , 1973 .

[10]  Douglas C. Montgomery,et al.  Response Surface Methodology: Process and Product Optimization Using Designed Experiments , 1995 .

[11]  S. James Press,et al.  Subjective and Objective Bayesian Statistics , 2002 .

[12]  Ioannis Vardoulakis,et al.  GEOMETRIC SOFTENING IN TRIAXIAL TESTS ON GRANULAR MATERIAL , 1982 .

[13]  Ben G. Fitzpatrick,et al.  Bayesian analysis in inverse problems , 1991 .

[14]  W. F. Ranson,et al.  Applications of digital-image-correlation techniques to experimental mechanics , 1985 .

[15]  R. Ghanem,et al.  Polynomial chaos decomposition for the simulation of non-gaussian nonstationary stochastic processes , 2002 .

[16]  D. Negussey,et al.  Preparation of Reconstituted Sand Specimens , 1988 .

[17]  A. W. Cresswell,et al.  Determining the maximum density of sands by pluviation , 1999 .

[18]  J. David Frost,et al.  UNIFORMITY EVALUATION OF COHESIONLESS SPECIMENS USING DIGITAL IMAGE ANALYSIS , 1996 .

[19]  S. James Press,et al.  Subjective and objective Bayesian statistics : principles, models, and applications , 2003 .

[20]  Roger Ghanem,et al.  Simulation of multi-dimensional non-gaussian non-stationary random fields , 2002 .

[21]  H. V. Trees Detection, Estimation, And Modulation Theory , 2001 .

[22]  E. Masad,et al.  Measurement of uniformity and anisotropy in granular materials , 2000 .

[23]  P. Knodel,et al.  Maximum Dry Density of Cohesionless Soils by Pluviation and by ASTM D 4253-83: A Comparative Study , 1992 .

[24]  A. Tikhonov,et al.  Numerical Methods for the Solution of Ill-Posed Problems , 1995 .

[25]  Christian Soize,et al.  Maximum likelihood estimation of stochastic chaos representations from experimental data , 2006 .

[26]  E. N. Bromhead,et al.  Computer methods and advances in geomechanics: G. Beer, J.R. Booker and J.P. Carter (eds) Balkema, Rotterdam, 1991, £122, (3 volumes) ISBN (Set) 90-6191-189-3 , 1993 .

[27]  Chandrakant S. Desai,et al.  Numerical Methods in Geotechnical Engineering , 1979 .

[28]  Christian P. Robert,et al.  Monte Carlo Statistical Methods , 2005, Springer Texts in Statistics.

[29]  R. Passalacqua A SAND-SPREADER USED FOR THE RECONSTITUTION OF GRANULAR SOIL MODELS , 1991 .

[30]  Andrew W. Fitzgibbon,et al.  Bundle Adjustment - A Modern Synthesis , 1999, Workshop on Vision Algorithms.

[31]  Yuh J. Chao,et al.  Advances in Two-Dimensional and Three-Dimensional Computer Vision , 2000 .

[32]  Harry L. Van Trees,et al.  Detection, Estimation, and Modulation Theory, Part I , 1968 .

[33]  José E. Andrade,et al.  Capturing strain localization in dense sands with random density , 2006 .

[34]  M. Shinozuka,et al.  Simulation of Stochastic Processes by Spectral Representation , 1991 .

[35]  Arshud Mahmood,et al.  Effect of specimen preparation method on grain arrangement and compressibility in sand , 1976 .

[36]  Zenon Medina-Cetina,et al.  Calibration of Soil Constitutive Models with Spatially Varying Parameters , 2007 .

[37]  George Z. Voyiadjis,et al.  Quantification of damage parameters using X-ray tomography images , 2003 .

[38]  D. McLaughlin,et al.  A Reassessment of the Groundwater Inverse Problem , 1996 .

[39]  M. Baziar,et al.  Effect of Sample Preparation on Steady State , 2000 .

[40]  Richard J. Finno,et al.  Digital Image Correlation to Evaluate Shear Banding in Dilative Sands , 2004 .

[41]  Andrew I. Dale,et al.  A history of inverse probability , 1991 .

[42]  Amy L. Rechenmacher,et al.  Grain-scale processes governing shear band initiation and evolution in sands , 2006 .

[43]  R. Chambon,et al.  Void ratio evolution inside shear bands in triaxial sand specimens studied by computed tomography , 1996 .

[44]  G. Gudehus,et al.  Evolution of shear bands in sand , 2004 .

[45]  Jamshid Ghaboussi,et al.  Constitutive modeling of geomaterials from non-uniform material tests , 1998 .

[46]  Boris Jeremić,et al.  Numerical Assessment of the Influence of End Conditions on Constitutive Behavior of Geomaterials , 2004 .

[47]  Roman D. Hryciw,et al.  Soil Particle Size Distribution by Mosaic Imaging and Watershed Analysis , 1999 .

[48]  John P. Carter,et al.  Predictions of the non-homogeneous behaviour of clay in the triaxial test , 1981 .

[49]  E. Selig,et al.  Preparing Test Specimens Using Undercompaction , 1978 .

[50]  Thomas H. Short,et al.  Subjective and Objective Bayesian Statistics: Principles, Models, and Applications , 2005 .

[51]  Aleksey V. Nenarokomov,et al.  Uncertainties in parameter estimation: the inverse problem , 1995 .

[52]  W. Peters,et al.  Digital Imaging Techniques In Experimental Stress Analysis , 1982 .