Splitting tensile strength prediction of sustainable high-performance concrete using machine learning techniques
Author:
Publisher
Springer Science and Business Media LLC
Subject
Health, Toxicology and Mutagenesis,Pollution,Environmental Chemistry,General Medicine
Link
https://link.springer.com/content/pdf/10.1007/s11356-022-22048-2.pdf
Reference56 articles.
1. Al-Shamiri AK, Kim JH, Yuan T-F, Yoon YS (2019) Modeling the compressive strength of high-strength concrete: an extreme learning approach. Constr Build Mater 208:204–219. https://doi.org/10.1016/j.conbuildmat.2019.02.165
2. Alavi AH, Ameri M, Gandomi AH, Mirzahosseini MR (2011) Formulation of flow number of asphalt mixes using a hybrid computational method. Constr Build Mater 25:1338–1355. https://doi.org/10.1016/j.conbuildmat.2010.09.010
3. Armaghani DJ, Asteris PG (2021) A comparative study of ANN and ANFIS models for the prediction of cement-based mortar materials compressive strength. Neural Comput & Applic 33:4501–4532. https://doi.org/10.1007/s00521-020-05244-4
4. Bin Ahmed F, Abid Ahsan K, Shariff T, Rahman Meem S (2021) Formulation of polynomial equation predicting the splitting tensile strength of concrete. Mater Today: Proc 38:3269–3278. https://doi.org/10.1016/j.matpr.2020.10.017
5. Biswas RK, Iwanami M, Chijiwa N, Uno K (2020) Effect of non-uniform rebar corrosion on structural performance of RC structures: a numerical and experimental investigation. Constr Build Mater 230:116908. https://doi.org/10.1016/j.conbuildmat.2019.116908
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