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Steel and Composite Structures Volume 39, Number 1, April10 2021 , pages 81-93 DOI: https://doi.org/10.12989/scs.2021.39.1.081 |
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Predicting the splitting tensile strength of concrete using an equilibrium optimization model |
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Yinghao Zhao, Xiaolin Zhong and Loke Kok Foong
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| Abstract | ||
| Splitting tensile strength (STS) is an important mechanical parameter of concrete. This study offers novel methodologies for the early prediction of this parameter. Artificial neural network (ANN), which is a leading predictive method, is synthesized with two metaheuristic algorithms, namely atom search optimization (ASO) and equilibrium optimizer (EO) to achieve an optimal tuning of the weights and biases. The models are applied to data collected from the published literature. The sensitivity of the ASO and EO to the population size is first investigated, and then, proper configurations of the ASO-NN and EO-NN are compared to the conventional ANN. Evaluating the prediction results revealed the excellent efficiency of EO in optimizing the ANN. Accuracy improvements attained by this algorithm were 13.26 and 11.41% in terms of root mean square error and mean absolute error, respectively. Moreover, it raised the correlation from 0.89958 to 0.92722. This is while the results of the conventional ANN were slightly better than ASO-NN. The EO was also a faster optimizer than ASO. Based on these findings, the combination of the ANN and EO can be an efficient non-destructive tool for predicting the STS. | ||
| Key Words | ||
| structural engineering, concrete, tensile strength, neural network, metaheuristic algorithms | ||
| Address | ||
| Yinghao Zhao: Guangzhou Institute of Building Science Co., Ltd., Guangzhou 510440, China; South China University of Technology, Guangzhou 510641, China Xiaolin Zhong: Guangzhou Testing Centre of Construction quality & safety Co., Ltd., Guangzhou 510440, China Loke Kok Foong: Institute of Research and Development, Duy Tan University, Da Nang, 550000, Vietnam; Faculty of Civil Engineering, Duy Tan University, Da Nang 550000, Vietnam | ||