COMPUTATIONAL SIMULATION |
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Quantitative Analysis on Evolution and Distribution of Force Chain for Asphalt Mixture Using Discrete Element Method |
CHANG Mingfeng1, HUANG Pingming2, PEI Jianzhong3, ZHANG Jiupeng3
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1 School of Materials Science and Engineering, Chang’an University, Xi’an 710061; 2 School of Highway, Chang’an University, Xi’an 710064; 3 Key Laboratory for Special Area Highway Engineering of Ministry of Education, Chang’an University, Xi’an 710064 |
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Abstract AC-13 asphalt mixture was taken as the research object to investigate the evolution and distribution laws of force chains inside the asphalt mixture. A digital specimen of AC-13 asphalt mixture was reconstructed using the discrete element method (DEM) to simulate the simple performance test (SPT). Next, the force chain information among aggregate particles was extracted to analyze the evolution, probability distribution and angle distribution of force chains. The results indicated that the AC-13 mesoscopic model reconstructed using the discrete element method was feasible to simulate the mesoscopic mechanical properties of asphalt mixture by comparing the predicted results and laboratory test results. The spatial distributions of force chains are anisotropic, which were mainly the compressed force chains in vertical direction and sustained most of the Haversine loading. The probability distributions of normal force chains which varied with loading time were consistent. The probability distribution had the maximum value at the minimum f (the ratio of normal contact force and mean normal contact force). At f=1.75, it appeared the peak value again, then gradually decreased and tended to be stable. In addition, the angle distributions of normal force chains mainly located near 90° and 270°, the angle distribution proportions in the first and second quadrant were much larger than those in the third and fourth quadrant. Also, the angle distribution proportions in 60—120° and 30—150° were both larger than 70% with the minimum value of 72.733%.
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Published: 25 September 2017
Online: 2018-05-08
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