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Search name	Searched On	Run search
[in Journal: International Journal of Computational Methods] AND [Keyword: ANN] (1)	2 Apr 2025	Run
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articleNo Access
Prediction of Early Compressive Strength of Ultrahigh-Performance Concrete Using Machine Learning Methods
- Hailiang Zhu,
- Xiong Wu,
- Yaoling Luo,
- Yue Jia,
- Chong Wang,
- Zheng Fang,
- Xiaoying Zhuang, and
- Shuai Zhou
International Journal of Computational Methods08 Mar 2022
Preview Abstract
In this study, a new prediction model is proposed to predict the 7-day compressive strength of ultrahigh-performance concrete (UHPC) with different mix proportions using artificial neural network (ANN) and support vector machine (SVM). The predicted results are compared with the experimental results to verify the proposed model. Then, the importance of each component and the sensitivity of parameters are investigated. The research proves that the proposed model can estimate the 7-day compressive strength of UHPC based on the mix proportions.

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