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Concrete Strength Estimator
This bot uses machine learning to predict the concrete compressive strength in [MPa] given the concrete components and age. It has been trained using 1030 data instances from Prof. I-Cheng Yeh.
The input variables are: Cement quantity [kg/m3], Blast Furnace Slag [kg/m3], Fly Ash quantity [kg/m3], Water quantity [kg/m3], Superplasticizer [kg/m3], Coarse Aggregate component [kg/m3], Fine Aggregate component [kg/m3], Concrete age [day].
Copy and paste the code to embed the bot on your site:
<iframe style="max-width: 100% !important; border: none; height:210px" width="560" src="https://hailp.com/api/main/loadwidget/457/parent/csvbulk"></iframe>
TRY ME, FILL IN THE FIELDS BELOW
I-Cheng Yeh, “Modeling of strength of high performance concrete using artificial neural networks,” Cement and Concrete Research, Vol. 28, No. 12, pp. 1797-1808 (1998).
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