Micromechanical fracture modeling of asphalt concrete using a single-edge notched beam test

Experimental and numerical analysis of three-point bending fracture of pre-notched asphalt mixture beam

“…These particles have a constant diameter of 1 mm [18]. So a DEM model with width of 200 mm and height of 50 mm has 200 particles in the width direction and 58 particles in the height direction, and 11,600 particles in total.…”

“…In a DEM model of heterogeneous asphalt mixture, aggregates are usually described as clumps of bonded particles, in which there are no relative separation and rotation between particles, and asphalt matrix as individual particles. With the help of the numerical image processing technique, Kim et al [9] applied the clustered DEM approach to investigate the size effect on fracture of asphalt concrete in disk-shaped compact tension and the complex mechanisms of mixed-mode fracture in a single-edge notched beam [18]. Some basic material parameters needed in the numerical simulations could be acquired by a series of experiments [15].…”

Effect of temperature and air void on mixed mode fracture toughness of modified asphalt mixtures

“…Since 1970, a large number of research works have been performed to study the fracture resistance of different asphalt mixtures using the concept of fracture energy or the stress intensity factor by employing numerical analyses, simulation techniques and experimental methods [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18]. The influence of asphalt characteristic specifications including the binder type, aggregate type, size of aggregates, air void contents, temperature, and loading condition have been investigated in the past for different asphalt mixtures.…”

Influence of aggregate particles on mastic and air-voids in asphalt concrete

“…The reconstruction methods of asphalt concrete microstructures are divided into two categories: random generation of virtual aggregates and air-voids using discrete element software, and image processing technique based on internal structure which obtained from tomography device. The random generation uses the discrete element software (such as PFC 2D or PFC 3D ) to develop a microstructural model of asphalt concrete and predict the performances through virtual test [1][2][3][4][5][6]. However, tomographic images of asphalt concrete must be obtained before using http image processing technique, thereafter, three dimensional finite element model (3D-FEM) can be reconstructed by digital image processing (DIP), and image analysis, such as fractal dimension of concrete cracks, can be investigated [7][8][9].…”