Machine Learning Prediction of Residual Mechanical Strength of Hybrid-Fiber-Reinforced Self-consolidating Concrete Exposed to Elevated Temperature
Author:
Publisher
Springer Science and Business Media LLC
Subject
Safety, Risk, Reliability and Quality,General Materials Science,Building and Construction
Link
https://link.springer.com/content/pdf/10.1007/s10694-023-01457-w.pdf
Reference126 articles.
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3. Belmonte IM, Benito Saorin FJ, Costa CP, Paya MV (2020) Quality of the surface finish of self-compacting concrete. J Build Eng. https://doi.org/10.1016/j.jobe.2019.101068
4. Benaicha M, Belcaid A, Hafidi Alaoui A, Jalbaud O, Burtschell Y (2019) Evolution of pressure generated by self compacting concrete on a vertical channel. Eng Struct 191:432–438. https://doi.org/10.1016/j.engstruct.2019.04.079
5. Hassan A, Khairallah F, Mamdouh H, Kamal M (2019) Structural behaviour of self-compacting concrete columns reinforced by steel and glass fibre-reinforced polymer rebars under eccentric loads. Eng Struct 188:717–728. https://doi.org/10.1016/j.engstruct.2019.03.067
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1. Machine and deep learning methods for concrete strength Prediction: A bibliometric and content analysis review of research trends and future directions;Applied Soft Computing;2024-10
2. Forecasting residual mechanical properties of hybrid fibre-reinforced self-compacting concrete (HFR-SCC) exposed to elevated temperatures;Heliyon;2024-06
3. The impact of different length hooked‐end fibers on the structural performance of RC folded plates;Structural Concrete;2024-05-09
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