Predicting the Compressive Strength of Pervious Cement Concrete based on Fast Genetic Programming Method
Author:
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
https://link.springer.com/content/pdf/10.1007/s13369-023-08396-2.pdf
Reference49 articles.
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2. Pichler, B.; Hellmich, C.: Upscaling quasi-brittle strength of cement paste and mortar: a multi-scale engineering mechanics model. Cem. Concr. Res. 41, 467–476 (2011). https://doi.org/10.1016/j.cemconres.2011.01.010
3. Tran, B.-V.; Pham, D.-C.; Loc, M.-D.; Le, M.-C.: An adaptive approach for the chloride diffusivity of cement-based materials. Comput. Concr. 23, 145–153 (2019). https://doi.org/10.12989/cac.2019.23.2.145
4. Tsivolas, E.; Gergidis, L.N.; Paipetis, A.S.: Multiscale modeling of extrinsic self healing GFRP materials. Modelling Simul. Mater. Sci. Eng. 31, 025002 (2022). https://doi.org/10.1088/1361-651X/acaa49
5. Nunez, I.; Marani, A.; Flah, M.; Nehdi, M.L.: Estimating compressive strength of modern concrete mixtures using computational intelligence: a systematic review. Constr. Build. Mater. 310, 125279 (2021). https://doi.org/10.1016/j.conbuildmat.2021.125279
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