Predicting the tensile strength of ultra-high performance concrete: New insights into the synergistic effects of steel fiber geometry and distribution

被引:4
作者
Que, Zichao [1 ]
Tang, Jinhui [2 ]
Wei, Huinan [3 ]
Zhou, Ao [1 ]
Wu, Kai [4 ]
Zou, Dujian [1 ]
Yang, Jiazhi [1 ]
Liu, Tiejun [1 ]
De Schutter, Geert [5 ]
机构
[1] Harbin Inst Technol, Guangdong Prov Key Lab Intelligent & Resilient Str, Shenzhen 518055, Peoples R China
[2] Southeast Univ, Sch Mat Sci & Engn, Nanjing 211189, Peoples R China
[3] North China Univ Water Resources & Elect Power, Sch Civil Engn & Commun, Zhengzhou 450045, Henan, Peoples R China
[4] Tongji Univ, Sch Mat Sci & Engn, Key Lab Adv Civil Engn Mat, Minist Educ, Shanghai 201804, Peoples R China
[5] Univ Ghent, Dept Struct Engn & Bldg Mat, Magnel Vandepitte Lab, B-9052 Ghent, Belgium
基金
中国国家自然科学基金;
关键词
Ultra-high performance concrete; Steel fiber geometry; Fiber distribution; Uniaxial tensile strength; MECHANICAL-PROPERTIES; REINFORCED-CONCRETE; FLEXURAL PERFORMANCE; COMPRESSIVE BEHAVIOR; UNIAXIAL TENSILE; UHP-FRC; PULLOUT; MACRO;
D O I
10.1016/j.conbuildmat.2024.137822
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Steel fiber size and fiber distribution synergistically influence the tensile behavior of ultra-high performance concrete (UHPC). The suitable aspect ratio of steel fiber can improve crack-bridging capacity, while the oversized ratio results in poor fiber distribution, degrading tensile performance substantially. Therefore, identifying the synergistic effect of fiber geometry and distribution is key for superior tensile properties, which is quantitatively evaluated here. It is found that the aspect ratio determines the domain of stress distribution, while fiber distribution affects the overlapping domain, leading to variations of tensile properties, which is revealed as the "pile group" working mechanism of fibers. Furthermore, a novel model was proposed to accurately predict the uniaxial tensile strength of UHPC by combining the Gradient Boosting (GB) and statistical approaches. The matrix tensile strength was obtained using the GB algorithm, and the relationship among fiber factor, fiber distribution, and tensile strength was established by the statistical regression method. The findings provide unique insight into how the fiber geometry and distribution govern the tensile properties and inspire a new design scheme of UHPC toward excellent tensile behavior.
引用
收藏
页数:13
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