Influence of Asphalt Mixture Ageing and Lowered Laboratory Compaction Rate on Stiffness and Cracking Behavior

Author(s):  
Pavla Vacková ◽  
Jan Valentin ◽  
Adriana Kotoušová
2013 ◽  
Vol 361-363 ◽  
pp. 1625-1628
Author(s):  
Zhao Sheng Li ◽  
Yi Qiu Tan

Establish the mechanical model of asphalt pavement low-temperature cracking, analysis the factors leading to cracking. The factors such as shrinkage coefficient of asphalt pavementtemperature stresspavement structure combination forms and temperature contribution affect the asphalt pavement on cracking behavior. Study the effect of aggregate gradation type on asphalt mixture temperature shrinkage coefficient, analyze shows that in case of the same skeleton type, the smaller the average particle size of aggregate is, the larger low-temperature shrinkage deformation of mixture is; increasing the amount of coarse aggregate can form the dense structure of skeletonreduce the shrinkage coefficient at low temperature and improve the low-temperature crack resistance ability of asphalt mixture.


Author(s):  
Reyhaneh Rahbar-Rastegar ◽  
Jo Sias Daniel ◽  
Eshan V. Dave

Aging affects the properties of asphalt mixtures in different ways; increase of stiffness, decrease of relaxation capability, and the increase of brittleness, resulting in changes in cracking behavior of asphalt mixtures. In this study, ten plant-produced, lab-compacted mixtures with various compositions (recycled materials, binder grades, binder source, and nominal maximum aggregate size) are evaluated at different long-term aging levels (24 hours at 135°C, 5 days at 95°C, and 12 days at 95°C on loose mix and 5 days at 85°C on compacted specimens). The asphalt mixture linear viscoelastic properties (|E*| and δ) and master curve shape parameters measured from complex modulus testing and fracture properties (measured from disc-shaped compact tension and semi-circular bending fracture testing) are compared at different levels of aging. The results indicate that the mixture exposure time to aging is proportional to the dynamic modulus and phase angle changes. Generally, the fracture parameters of mixtures become worse when aging level changes from 5 to 12 days aging. In spite of the similar viscoelastic properties, the mixtures with 24 hours at 135°C and 12 days at 95°C aging do not show similar fracture parameters.


2013 ◽  
Vol 577-578 ◽  
pp. 581-584
Author(s):  
Xin Hua Yang ◽  
Guo Wei Zeng ◽  
Qin Qian

This paper presents a damage constitutive model to characterize the softening behavior of asphalt mastic in the fracture process. The three-point bending asphalt mixture beams with different crack locations and aggregate distributions are modeled with the parameterization modeling method. It is found that there is good agreement between the predicted and experimental results. The effects of crack location and coarse aggregate distribution on the crack path are numerically evaluated, and damage distributions near the crack tip are analyzed. Some conclusions are given.


CICTP 2020 ◽  
2020 ◽  
Author(s):  
Yong Yang ◽  
Peng Huang ◽  
Wen Zhou ◽  
Haiting Liu ◽  
Lingling Hong

2019 ◽  
Author(s):  
Teng Man

The compaction of asphalt mixture is crucial to the mechanical properties and the maintenance of the pavement. However, the mix design, which based on the compaction properties, remains largely on empirical data. We found difficulties to relate the aggregate size distribution and the asphalt binder properties to the compaction behavior in both the field and laboratory compaction of asphalt mixtures. In this paper, we would like to propose a simple hybrid model to predict the compaction of asphalt mixtures. In this model, we divided the compaction process into two mechanisms: (i) visco-plastic deformation of an ordered thickly-coated granular assembly, and (ii) the transition from an ordered system to a disordered system due to particle rearrangement. This model could take into account both the viscous properties of the asphalt binder and grain size distributions of the aggregates. Additionally, we suggest to use the discrete element method to understand the particle rearrangement during the compaction process. This model is calibrated based on the SuperPave gyratory compaction tests in the pavement lab. In the end, we compared the model results to experimental data to show that this model prediction had a good agreement with the experiments, thus, had great potentials to be implemented to improve the design of asphalt mixtures.


2011 ◽  
Vol 12 (2) ◽  
pp. 293-314 ◽  
Author(s):  
Chun-Hsing Ho ◽  
Pedro Romero

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