Compressive Strength Prediction of Ultra-High Performance Fiber Reinforced Concrete (UHPFRC) Using Artificial Neural Networks
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-3737-6_13
Reference16 articles.
1. Buttignol, T. E. T., Sousa, J. L. A. O., & Bittencourt, T. N. (2017). Ultra High-Performance Fiber-Reinforced Concrete (UHPFRC): A review of material properties and design procedures Concreto de Ultra Alto Desempenho Reforçado com Fibras (CUADRF). Análise das propriedades do material e especificações de projeto, 10(4), 957–971.
2. Ghafari, E., Bandarabadi, M., & Costa, H. (2015). Prediction of fresh and hardened state properties of UHPC : Comparative study of statistical mixture design and an artificial neural network model, pp. 1–11. https://doi.org/10.1061/(ASCE)MT.1943-5533.0001270.
3. Graybeal, B. A. (2006). Material property characterization of ultra-high performance concrete. Fhwa, (FHWA-HRT-06-103), p. 186.
4. Huang, Y., Grünewald, S., Schlangen, E., & Luković, M. (2022). Strengthening of concrete structures with ultra high performance fiber reinforced concrete (UHPFRC): A critical review. Construction and Building Materials, 336, 127398.
5. Kang, M. C., Yoo, D. Y., & Gupta, R. (2021) Machine learning-based prediction for compressive and flexural strengths of steel fiber-reinforced concrete. Construction and Building Materials. Elsevier Ltd, 266, p. 121117. https://doi.org/10.1016/j.conbuildmat.2020.121117.
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