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contributor authorYuhong Liu
contributor authorYong Ye
contributor authorWei Luo
contributor authorHui Peng
date accessioned2022-12-27T20:41:57Z
date available2022-12-27T20:41:57Z
date issued2022/12/01
identifier other(ASCE)MT.1943-5533.0004470.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4287829
description abstractThe aggregate skeleton and its evolution under external loads are crucial to evaluate the mechanical properties of the asphalt mixture. This study developed a method to identify the three-dimensionally (3D) aggregate skeleton based on geometry information. The proposed method can identify the evolution process of the aggregate skeleton during loading in the finite element method (FEM). Random models based on the Gilbert–Johnson–Keerthi (GJK) algorithm are used to study the influence of the concave–convex degree of the gradation curve and the magnitude of the creep load on the aggregate skeleton during the creep process. The results indicate that the aggregate skeleton undergoes three stages during creep: aggregate redistribution, skeleton formation, and skeleton failure after reaching the ultimate load, while the increase of load causes the aggregate skeleton to lose its bearing capacity faster. More coarse aggregate raises the strength of the aggregate skeleton, but it is more likely to break down quickly once it reaches the strength. More fine aggregate enhances the stability of the aggregate skeleton. The proposed identification method can serve as a general tool to investigate the evolution process of the internal aggregate structure of the asphalt mixture.
publisherASCE
titleModeling the Behavior of an Aggregate Skeleton during Static Creep of an Asphalt Mixture Based on a Three-Dimensional Mesoscale Random Model
typeJournal Article
journal volume34
journal issue12
journal titleJournal of Materials in Civil Engineering
identifier doi10.1061/(ASCE)MT.1943-5533.0004470
journal fristpage04022319
journal lastpage04022319_11
page11
treeJournal of Materials in Civil Engineering:;2022:;Volume ( 034 ):;issue: 012
contenttypeFulltext


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