Prediction of mechanical and physical properties of spent bleaching earth based fired bricks: an experimental study using RSM and ANN
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s42107-024-01148-z.pdf
Reference70 articles.
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2. Alekseev, K., Mymrin, V., Avanci, M. A., Klitzke, W., Magalhães, W. L. E., Silva, P. R., Catai, R. E., Silva, D. A., & Ferraz, F. A. (2019). Environmentally clean construction materials from hazardous bauxite waste red mud and spent foundry sand. Construction and Building Materials, 229, 116860. https://doi.org/10.1016/j.conbuildmat.2019.116860
3. Ali, A., Yazdani, M., Ghanbari, S., Akbarzadeh, H., Jafari, A., & Farrokh, H. (2021). Artificial neural network model to predict the compressive strength of eco-friendly geopolymer concrete incorporating silica fume and natural zeolite. Journal of Cleaner Production, 279, 123697. https://doi.org/10.1016/j.jclepro.2020.123697
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