Development of Probabilistic Viscoelastic Continuum Damage Model for Asphalt Concrete

The main objective of this paper is to develop a realistic probabilistic framework for characterization of different types of asphalt concrete using advanced material modeling. The adopted methodology builds on and enhances a viscoelastic continuum damage (VECD) material model by utilizing a suite of associated experimental testing protocols and incorporating the uncertainties associated with the different material properties. The modeled uncertainties address the variabilities and errors associated with the linear viscoelastic (LVE) functions achieved from the complex modulus test and damage characteristic curves obtained from constant crosshead rate testing. A probabilistic scheme using First Order approximations and Monte Carlo simulations is developed to characterize the inherent uncertainty of each of the LVE functions over the time domain of their mastercurves. For damage characteristic curves, the uncertainty in normalized pseudostiffness increases as the level of damage becomes larger. The uncertainties of LVE properties are propagated along with those of C versus stress curves to yield a probabilistic viscoelastic continuum damage model (P-VECD). The P-VECD not only predicts the average viscoelastic response to a given loading input, but it can also provide its distribution, which is essential for a reliability-based pavement design.

[1]  Hussein A. Kassem.  Probabilistic characterization of the viscoelastoplastic behavior of asphalt-aggregate mixtures - , 2018 .

[2]  Y. Richard Kim,et al.  A viscoplastic model for the confined permanent deformation of asphalt concrete in compression , 2016 .

[3]  Silvia Caro,et al.  Probabilistic modeling of air void variability of asphalt mixtures in flexible pavements , 2014 .

[4]  B. Shane Underwood,et al.  Reliability Analysis of Fatigue Life Prediction from the Viscoelastic Continuum Damage Model , 2016 .

[5]  Ghassan R. Chehab,et al.  Probabilistic Modeling of the Inherent Variability in the Dynamic Modulus Master Curve of Asphalt Concrete , 2016 .

[6]  Dallas N. Little,et al.  Recent developments and applications of pavement analysis using nonlinear damage (PANDA) model , 2012 .

[7]  Eyad Masad,et al.  Incorporating the heterogeneity of asphalt mixtures in flexible pavements subjected to moisture diffusion , 2015 .

[8]  Ghassan R. Chehab,et al.  Characterization of asphalt concrete in uniaxial tension using a viscoelastoplastic continuum damage model , 2003 .

[9]  Mauricio Sánchez-Silva,et al.  Methodology for Modeling the Uncertainty of Material Properties in Asphalt Pavements , 2014 .

[10]  B. Underwood,et al.  Multiscale Constitutive Modeling of Asphalt Concrete. , 2011 .

[11]  H. Kassem,et al.  Quantification of the inherent uncertainty in the relaxation modulus and creep compliance of asphalt mixes , 2018 .

[12]  B. Shane Underwood,et al.  Use of Fine Aggregate Matrix Experimental Data in Improving Reliability of Fatigue Life Prediction of Asphalt Concrete: Sensitivity of This Approach to Variation in Input Parameters , 2017 .

[13]  Y. Richard Kim,et al.  A viscoelastic continuum damage model and its application to uniaxial behavior of asphalt concrete , 1996 .

[14]  Jo Sias Daniel.  Development of a simplified fatigue test and analysis procedure using a viscoelastic, continuum damage model and its implementation to WesTrack mixtures , 2001 .

[15]  Xinhua Yang,et al.  A stochastic viscoelastic–viscoplastic constitutive model and its application to crumb rubber modified asphalt mixtures , 2016 .

[16]  François Olard,et al.  The 'DBN' model: a thermo-visco-elasto-plastic approach for pavement behavior modeling , 2005 .

[17]  G. Zi,et al.  Probabilistic prognosis of fatigue crack growth for asphalt concretes , 2015 .

[18]  Okan Sirin,et al.  Probabilistic analysis of fatigue life for asphalt mixtures using the viscoelastic continuum damage approach , 2016 .

[19]  Ghassan R. Chehab,et al.  Probabilistic Modeling of Dynamic Modulus Master Curves for Hot-Mix Asphalt Mixtures , 2015 .

[20]  Aravind Krishna Swamy,et al.  Development of probabilistic fatigue curve for asphalt concrete based on viscoelastic continuum damage mechanics , 2016 .

[21]  Ghassan R. Chehab,et al.  Characterization of Asphalt Concrete in Tension Using a ViscoElastoPlastic Model , 2002 .

[22]  Aravind Krishna Swamy,et al.  Probabilistic characterisation of damage characteristic curve of asphalt concrete mixtures , 2019 .

[23]  D. Little,et al.  Stochastic Identification of Linear-Viscoelastic Models of Aged and Unaged Asphalt Mixtures , 2015 .

[24]  Ghassan R. Chehab,et al.  TIME-TEMPERATURE SUPERPOSITION PRINCIPLE FOR ASPHALT CONCRETE WITH GROWING DAMAGE IN TENSION STATE , 2002 .

[25]  Pabitra Rajbongshi,et al.  Variability characterisation of input parameters in pavement performance evaluation , 2015 .