共 71 条
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.
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页数:17
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