Hybrid machine learning model to predict the mechanical properties of ultra-high-performance concrete (UHPC) with experimental validation
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s42107-024-01109-6.pdf
Reference42 articles.
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2. Alsalman, A., Dang, C. N., & Micah Hale, W. (2017). Development of ultra-high performance concrete with locally available materials. Construction and Building Materials, 133, 135–145. https://doi.org/10.1016/j.conbuildmat.2016.12.040
3. Amin, M., Hakeem, I. Y., Zeyad, A. M., Tayeh, B. A., Maglad, A. M., & Agwa, I. S. (2022). Influence of recycled aggregates and carbon nanofibres on properties of ultra-high-performance csoncrete under elevated temperatures. Case Studies in Construction Materials, 16, e01063. https://doi.org/10.1016/j.cscm.2022.e01063
4. Banerji, S., & Kodur, V. (2022). Effect of temperature on mechanical properties of ultra-high performance concrete. Fire and Materials, 46(1), 287–301. https://doi.org/10.1002/fam.2979
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