Prediction of compressive strength of geopolymer concrete using random forest machine and deep learning
Author:
Publisher
Springer Science and Business Media LLC
Subject
Civil and Structural Engineering
Link
https://link.springer.com/content/pdf/10.1007/s42107-023-00670-w.pdf
Reference50 articles.
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2. Biondi, L., Vlachakis, C., & Hamilton, A. (2019). Ambient cured fly ash geopolymer coatings for concrete. Materials. https://doi.org/10.3390/ma12060923
3. Borges, P. H. R., Fonseca, L. F., Nunes, V. A., Panzera, T. H., & Martuscelli, C. C. (2014). Andreasen particle packing method on the development of geopolymer concrete for civil engineering. Journal of Materials in Civil Engineering, 26(April), 692–697. https://doi.org/10.1061/(ASCE)MT.1943-5533.0000838
4. Central Electricity Authority. (2019). Flyash generation at coal/lignite based thermal power stations and its utilization in the country.
5. Chandrasekhar Reddy, K. (2020). Investigation of mechanical and microstructural properties of fiber-reinforced geopolymer concrete with GGBFS and metakaolin: Novel raw material for geopolymerisation. SILICON. https://doi.org/10.1007/s12633-020-00780-z
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