Analysis and optimization of mechanical properties of RTSF-PVA hybrid fiber concrete based on grey correlation analysis

doi:10.19936/j.cnki.2096-8000.20221228.007

Abstract

Abstract: The effects of recycled tire steel fiber (RTSF), polyvinyl alcohol fiber (PVA) and slag on cubic compressive strength, splitting tensile strength and flexural strength of RTSF-PVA/ slag concrete were studied by orthogonal design with three levels and four factors. The results show that, compared with C50 reference concrete, the maximum cubic compressive strength, splitting tensile strength and flexural strength of RTF-PVA/slag concrete are increased by 23.71%, 43.72% and 37.96% respectively. Through variance analysis, it is found that RTSF fiber is a significant factor affecting the three performance indexes, slag is a significant factor affecting the cube compressive strength and flexural strength, and PVA fiber is a significant factor affecting the splitting tensile strength. The performance indexes of RTSF-PVA/ slag concrete were optimized by using grey correlation analysis method and principal component analysis method. By comparing the grey correlation degree of each factor, the optimal scheme was obtained as followed. The volume content of RTSF was 0.6 kg/m³, the volume content of PVA was 0.075 kg/m³, and the replacement rate of GBFS was 15%. Compared with the original scheme, the cube compressive strength after optimization is slightly reduced, but the splitting tensile strength, bending strength and slump are increased by 1.24%, 5.11% and 30.91%, respectively. The results verify the effectiveness of the optimization method, and provide a reference for the mixing range of RTSF fiber, PVA fiber and slag.

Key words: recycled tire steel fiber (RTSF), polyvinyl alcohol fiber (PVA), slag, orthogonal test, grey correlation analysis

CLC Number:

TB332

CHEN Dong-lin, WANG Xue-zhi, LIU Hua-xin. Analysis and optimization of mechanical properties of RTSF-PVA hybrid fiber concrete based on grey correlation analysis[J]. COMPOSITES SCIENCE AND ENGINEERING, 2022, 0(12): 54-61.

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