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Computers and Concrete
  Volume 34, Number 4, October 2024 , pages 427-446
DOI: https://doi.org/10.12989/cac.2024.34.4.427
 


Study on bond strength between recycled aggregate concrete and I-shaped steel
Biao Liu, Feng Xue, Yu-Ting Wu, Guo-Liang Bai and Zheng-Zhong Wang

 
Abstract
    The I-shaped steel reinforced recycled aggregate concrete (SRRC) composite structure has the advantages of high bearing capacity and environmental protection, and the interfacial bond strength is an important theory. To this end, the I-shaped SRRC bond strength and its calculation based on artificial neural network (ANN) will be studied. Firstly, 39 push out tests of I-shaped SRRC were conducted, the load-slip curve has obvious regularity, which is divided into 4 segments by 3 regular points. Three bond strengths were defined based on these three rule points, and the approximate ranges of their values and the laws of influence of each factor on them were found. Secondly, the Elman ANN model used for the prediction of bond strength was established, and the parameters of Elman ANN predicting I-shaped SRRC bond strength were studied, and the effects of detailed parameters on the prediction results were revealed. Finally, the bond strength of SRRC was predicted using Elman and BP (back propagation) neural network models, both of which showed good prediction results. This study is a theoretical basis for the design and fine simulation of I-shaped SRRC composite structures.
 
Key Words
    artificial neural network; bond strength; I-shaped steel; recycled concrete
 
Address
Biao Liu: 1) College of Water Conservancy and Civil Engineering, Northwest A&F University, Yangling,712100, China,
2) Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas, Ministry of Education, Northwest A & F University, Yangling, 712100, China
Feng Xue, Yu-Ting Wu and Zheng-Zhong Wang: College of Water Conservancy and Civil Engineering, Northwest A&F University, Yangling,712100, China
Guo-Liang Bai: School of Civil Engineering, Xi'an 710055, China
 

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