A simplified numerical simulation of uniaxial compression for polyacrylonitrile fiber reinforced permeable concrete based on CT images

被引:9
|
作者
Wen, Fusheng [1 ,4 ]
Li, Wenchao [1 ]
Zhou, Guangfa [2 ]
Li, Hongjun [3 ]
Chen, Tao [1 ]
Zhang, Kunqiang [4 ]
机构
[1] Taishan Univ, Coll Mech & Architectural Engn, Tai An 271000, Peoples R China
[2] Yangtze River Water Conservancy & Hydropower Engn, Jinan 250100, Peoples R China
[3] Taishan Fiberglass Inc, Tai An 271000, Peoples R China
[4] Shandong Agr Univ, Coll Water Conservancy & Civil Engn, Tai An 271018, Peoples R China
关键词
Polyacrylonitrile Fiber Reinforced Permeable; Concrete; Computer Tomography; Real Mesostructure Model; Uniaxial Compression Simulation; Fracture Characteristics; PERVIOUS CONCRETE; VOLUME FRACTION; AGGREGATE; BEHAVIOR; COMPOSITES; PARTICLES; FRACTURE; MODELS; FLOW; ITZ;
D O I
10.1016/j.conbuildmat.2023.134319
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
For fiber reinforced permeable concrete, numerical simulation method have been applied to reduce the time consumption of physical experiments and to study the mesostructure of the material. In this paper, poly-acrylonitrile fiber reinforced permeable concrete (PANFRPC) is considered to consist of aggregate, mortar (containing fibers inside), interface transition zone (ITZ) and pores in 3D mesostructure model generated from computer tomography (CT) images. For the numerical simulation of the, material properties of each component in the model are assigned according to physical experimental results. The failure curve of the mortar in PANFRPC is determined by physical test results to reflect the effect of fibers. The simulation results show that the model has similar mechanical properties to the actual specimen and can be used to simulate the elastic stage of the uniaxial compression process and predict the strength with an error of less than 15% despite the simplification of fiber. the accuracy and reliability of the model have also been verified by the distribution pattern of vertical caraks and x-shaped shear cracks from macro and meso perspectives.
引用
收藏
页数:9
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