A Computational Model for Estimating the Compressive Strength of Mortars Admixed with Mineral Materials
In this paper, a new computational model is presented to estimate the compressive strength of mortars admixed with Microsilica and a mineral material namely Wollastonite. For this purpose, an equation with fourteen unknown parameters was considered based on a large experimental data, which were publ...
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| Autores principales: | , |
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| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
Pouyan Press
2018
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| Materias: | |
| Acceso en línea: | https://doaj.org/article/5578b63555d3495ca9f0596ccc9aa690 |
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| Sumario: | In this paper, a new computational model is presented to estimate the compressive strength of mortars admixed with Microsilica and a mineral material namely Wollastonite. For this purpose, an equation with fourteen unknown parameters was considered based on a large experimental data, which were published in the literature. The model used five independent parameters including the amounts of the Microsilica, cement, Wollastonite, water and also the age of the specimens (day). For calculating the unknown parameters, the author used artificial neural network method and divided the experimental database into three parts for three phases of the train, validate and test to tune the coefficients of the considered equation. After determining the coefficients, the final equation was validated and tested to estimate the compressive strength of the considered mortars. The results indicated that the proposed equation of this research could be able to determine the compressive strength of mortars admixed with Wollastonite. |
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