Evaluation of impact resistance properties of polyurethane-based polymer concrete for the repair of runway subjected to repeated drop-weight impact test

被引:52
|
作者
Haruna, Sadi Ibrahim [1 ]
Zhu, Han [1 ,2 ]
Jiang, Wenlixia [1 ]
Shao, Jianwen [1 ]
机构
[1] Tianjin Univ, Sch Civil Engn, Tianjin 300350, Peoples R China
[2] Tianjin Univ, Key Lab Coast Civil Struct Safety, Minist Educ, Tianjin 300350, Peoples R China
基金
中国国家自然科学基金;
关键词
Polymer concrete; Polyurethane; U-shaped specimens; Drop-weight impact test; Statistical analysis; Artificial intelligent; SELF-COMPACTING CONCRETE; MECHANICAL-PROPERTIES; STRENGTH RELIABILITY; STATISTICAL VARIATIONS; FLEXURAL PROPERTIES; RAPID REPAIR; PERFORMANCE; COMPOSITES; FRACTURE; DEFORMATION;
D O I
10.1016/j.conbuildmat.2021.125152
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
The impact resistance of Polyurethane (PU)-based polymer concrete was investigated using U-shaped specimens tested on a newly designed drop-weight impact test device. The PU-based polymer concrete samples was obtained by mixing natural sand and PU matrix using 85:15 and 90:10 ratios, and normal concrete samples were tested for comparison. The results revealed that the PU binder composition greatly enhanced the impact times and energy absorption capacity. The U-shaped specimen was predetermined the position of the crack and reduced the dispersion of results. The coefficient of variation (COV) of 38.07% is the maximum value obtained in this study, lower than the value obtained in ACI 544 2R impact testing procedure. The AI-based model' result indicates that the prediction skills of the support vector machine (SVM-M3) performed very well with R2 = 0.9575 and 0.9814 in the training and testing stage, respectively. Therefore, the proposed model had high accuracy in predicting the failure strength (blows) of PU-based polymer concrete samples.
引用
收藏
页数:17
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