Bayesian networks modelling for predicting compressive strength and slump flow of self-compacting concrete

Author:

Abdi Khalil,Kebaili Nabil,Djouhri Mohamed

Publisher

Springer Science and Business Media LLC

Subject

Civil and Structural Engineering

Reference33 articles.

1. Adekunle, S. K., Ahmad, S., Maslehuddin, M. (2013). The effect of aggregate packing on the performance of SCC using dune sand, Proceedings of the Fifth North American Conference on the Design and Use of Self-Consolidating Concrete, Chicago, Illinois, USA, May 12–15.

2. AFGC (French Society of Civil Engineering). (2008). Recommendations for the use of self-composition concrete. Scientific and technical documents.

3. Al-Oran, A. A. A., Safiee, N. A., & Nasir, N. A. M. (2019). Fresh and hardened properties of self-compacting concrete using metakaolin and GGBS as cement replacement. European Journal of Environmental and Civil Engineering. https://doi.org/10.1080/19648189.2019.1663268

4. Azzouz, L., Benabeda, B., Kadrib, E-H., Kenaic, S. (2015). Effect of sand type on fresh and hardened properties of self-compacting concrete. 2nd International Sustainable Buildings Symposium. 28 - 30th May. Ankara - TURKIYE

5. Belalia Douma, O., Boukhatem, B., Ghrici, M., et al. (2017). Prediction of properties of self-compacting concrete containing fly ash using artificial neural network. Neural Computing and Applications, 28(1), 707–718. https://doi.org/10.1007/s00521-016-2368-7

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