Fabrication and numerical verification of two-dimensional random aggregate virtual specimens for asphalt mixture

Abstract This paper proposes a two-dimensional (2D) virtual specimen fabricating method to create 2D virtual specimens that can accurately characterize the microstructure of asphalt mixtures. In this method, the gradation of the 2D aggregate area and the proportion of 2D voids area are calculated by the phase separation method. Random aggregates are generated by using the geometric characteristics database of random aggregates, which is established by the Aggregate Image Measurement System (AIMS). The random aggregate placement angle is determined according to the aggregate angle distribution law. Random aggregates are placed using a method that accurately identifies the scope of the conflicting judgment, and the random voids are generated with image binarization. Four AC-13 2D random aggregate virtual specimens with the same gradation were generated in this research to verify the practicability and effectiveness of the virtual specimen fabricating method. Virtual complex modulus parallel tests were performed on these four virtual specimens in COMSOL finite element software. By comparing the calculated results with the lab test results, it was found that the 2D random aggregate virtual specimens generated by the method proposed in this paper adequately predict the complex modulus of asphalt mixtures. The virtual test is repeatable and provides new ideas and references to creating virtual specimens for asphalt mixtures.

[1]  Hong-ping Zhu,et al.  Tensile fracture simulation of random heterogeneous asphalt mixture with cohesive crack model , 2012 .

[2]  C. Petit,et al.  Heterogeneous numerical modeling of asphalt concrete through use of a biphasic approach: Porous matrix/inclusions , 2013 .

[3]  Tao Ma,et al.  Micromechanical response of aggregate skeleton within asphalt mixture based on virtual simulation of wheel tracking test , 2016 .

[4]  Nicholas W. Tschoegl,et al.  The Phenomenological Theory of Linear Viscoelastic Behavior: An Introduction , 1989 .

[5]  Jian Wang,et al.  Fracture simulation of asphalt concrete with randomly generated aggregate microstructure , 2018 .

[6]  H. Reinhardt,et al.  Concrete mechanics. Part A: Theory and experiments on the mechanical behavior of cracks in plain and reinforced concrete subjected to shear loading , 1981 .

[7]  Jiu-peng Zhang,et al.  Using random heterogeneous DEM model to simulate the SCB fracture behavior of asphalt concrete , 2020 .

[8]  Yu Tong Fatigue Resistance of Asphalt Mixtures Affected by Water Vapor Movement , 2013 .

[9]  T. Ma,et al.  Heterogeneity effect of mechanical property on creep behavior of asphalt mixture based on micromechanical modeling and virtual creep test , 2017 .

[10]  Xinhua Yang,et al.  Experimental and numerical analysis of three-point bending fracture of pre-notched asphalt mixture beam , 2015 .

[11]  Xin Ruan,et al.  Mesoscopic simulation method of concrete carbonation process , 2012 .

[12]  Qingli Dai,et al.  Two- and three-dimensional micromechanical viscoelastic finite element modeling of stone-based materials with X-ray computed tomography images , 2011 .

[13]  Yong-Rak Kim,et al.  Geometrical Evaluation and Experimental Verification to Determine Representative Volume Elements of Heterogeneous Asphalt Mixtures , 2010 .

[14]  Eyad Masad,et al.  CHARACTERIZATION OF AIR VOID DISTRIBUTION IN ASPHALT MIXES USING X-RAY COMPUTED TOMOGRAPHY , 2002 .

[15]  Zhou Changjun,et al.  Investigation on statistical characteristics of asphalt concrete dynamic moduli with random aggregate distribution model , 2017 .

[16]  M. Aliha,et al.  Modes I and II stress intensity factors of semi-circular bend specimen computed for two-phase aggregate/mastic asphalt mixtures , 2020 .

[17]  Liang Li,et al.  Virtual testing of asphalt mixture with two-dimensional and three-dimensional random aggregate structures , 2017 .

[18]  Dallas N. Little,et al.  Three-Dimensional Microstructural Modeling of Asphalt Concrete by Use of X-Ray Computed Tomography , 2013 .

[19]  Milad Salemi,et al.  Image-aided random aggregate packing for computational modeling of asphalt concrete microstructure , 2018 .

[20]  F. Aragão,et al.  Virtual fabrication and computational simulation of asphalt concrete microstructure , 2017 .

[21]  Zhanping You,et al.  Study on the rubber-modified asphalt mixtures’ cracking propagation using the extended finite element method , 2013 .

[22]  Hao Wang,et al.  Micromechanical analysis of asphalt mixture fracture with adhesive and cohesive failure , 2014 .

[23]  Xinhua Yang,et al.  A THREE-DIMENSIONAL AGGREGATE GENERATION AND PACKING ALGORITHM FOR MODELING ASPHALT MIXTURE WITH GRADED AGGREGATES , 2010 .

[24]  Qingli Dai,et al.  Prediction of Creep Stiffness of Asphalt Mixture with Micromechanical Finite-Element and Discrete-Element Models , 2007 .

[25]  Robert L. Lytton,et al.  Microstructure-Based Inherent Anisotropy of Asphalt Mixtures , 2011 .

[26]  D. Little,et al.  Dynamic Modulus Prediction of Asphalt Concrete Mixtures through Computational Micromechanics , 2015 .