Soft computing techniques to predict the electrical resistivity of pervious concrete
Author:
Publisher
Springer Science and Business Media LLC
Subject
Civil and Structural Engineering
Link
https://link.springer.com/content/pdf/10.1007/s42107-023-00806-y.pdf
Reference49 articles.
1. Ahmad, A., Ahmad, W., Aslam, F., & Joyklad, P. (2022). Compressive strength prediction of fly ash-based geopolymer concrete via advanced machine learning techniques. Case Studies in Construction Materials, 16, e00840.
2. Ahmed, H. U., Abdalla, A. A., Mohammed, A. S., & Mohammed, A. A. (2022). Mathematical modeling techniques to predict the compressive strength of high-strength concrete incorporated metakaolin with multiple mix proportions. Cleaner Materials, 5, 100132.
3. Anburuvel, A., & Subramaniam, D. N. (2022a). Investigation of the effects of compaction on compressive strength and porosity characteristics of pervious concrete. Transportation Research Record, 2676(9), 513–525.
4. Anburuvel, A. & Subramaniam, D. N. (2022b). Influence of aggregate gradation and compaction on compressive strength and porosity characteristics of pervious concrete. International Journal of Pavement Engineering. https://doi.org/10.1080/10298436.2022.2055022
5. Anburuvel, A., & Subramaniam, D. N. (2022c). A novel multi-variable model for the estimation of compressive strength of pervious concrete. International Journal of Pavement Research and Technology. https://doi.org/10.1007/s42947-022-00266-8
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