Experimental Study on Dynamic Tensile Properties of Hybrid Fiber Reinforced Concrete Based on Digital Image Correlation Technology
YANG Guoliang1,†,*, BI Jingjiu1,†, DONG Zhiwen1, LIU Yi1, HAN Zimo1, LI Xuguang2
1 School of Mechanics and Architectural Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China 2 China Aerospace Construction Engineering Group Co., Ltd., Beijing 100070, China
Abstract: In order to study the dynamic tensile properties of steel polypropylene fiber concrete (SPFRC) with different fiber hybrid ratio, six groups of concrete specimens with different fiber hybrid ratio were subjected to dynamic Brazilian splitting test. The dynamic tensile fracture process of each group of specimens was recorded and analyzed by means of high-speed camera and digital image correlation technology (DIC). The results show that the stress time history curve of the specimen can be divided into five stages:slow growth, rapid growth, stability, attenuation and se-condary growth. Compared with the plain cement mortar specimen, the fiber reinforced concrete specimen has a significant stable fluctuation platform after the secondary growth of the stress rate, and the failure process has significant ductility characteristics. When the total fiber content remains unchanged at 2%, the specimens mixed with 1% steel fiber and 1% polypropylene fiber have relatively better dynamic tensile strength and energy dissipation capacity. Adding fiber can weaken the tensile strain concentration at the center of the specimen. The specimen mixed with 1.5% polypropylene fiber and 0.5% steel fiber has better cracking control ability, and the average cracking strain is 2.94 times higher than that of plain cement mortar.
杨国梁, 毕京九, 董智文, 刘依, 韩子默, 李旭光. 基于数字图像相关技术的混杂纤维混凝土动态抗拉性能试验研究[J]. 材料导报, 2023, 37(21): 22030038-9.
YANG Guoliang, BI Jingjiu, DONG Zhiwen, LIU Yi, HAN Zimo, LI Xuguang. Experimental Study on Dynamic Tensile Properties of Hybrid Fiber Reinforced Concrete Based on Digital Image Correlation Technology. Materials Reports, 2023, 37(21): 22030038-9.
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2023, Vol. 37 
