Probabilistic Forecast of Concrete Compressive Strength Using ML
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-60271-9_25
Reference17 articles.
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2. Dabiri, H., Kioumarsi, M., Kheyroddin, A., Kandiri, A., Sartipi, F.: Compressive strength of concrete with recycled aggregate; a machine learning-based evaluation. Clean. Mater. 3, 10004 (2022). https://doi.org/10.1016/j.clema.2022.100044
3. Rathakrishnan, V., Beddu, S.B., Ahmed, A.N.: Predicting compressive strength of high ‑ performance concrete with high volume ground granulated blast ‑ furnace slag replacement using boosting machine learning algorithms. Sci. Rep. 1–17 (2022). https://doi.org/10.1038/s41598-022-12890-2
4. Liu, G., Sun, B.: Concrete compressive strength prediction using an explainable boosting machine model. Case Stud. Constr. Mater. 18, e01845 (2023). https://doi.org/10.1016/j.cscm.2023.e01845
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