Predicting Concrete Strength with Temperature and Time
Author Information
Author(s): Wawrzeńczyk Jerzy
Primary Institution: Kielce University of Technology
Hypothesis
Can the ANN method produce a model that accurately describes the relationship between mortar strength, temperature, and time?
Conclusion
The ANN analysis method is effective for estimating the relative compressive strength of mortar based on temperature and time.
Supporting Evidence
- The ANN model was developed using data from six different cements.
- The model predicts strength based on hydration heat and activation energy.
- Results showed that hydration heat influences early strength gain.
Takeaway
This study shows how to use a computer model to predict how strong concrete will be based on how hot it gets and how long it cures.
Methodology
The study used artificial neural networks to analyze the relationship between mortar strength and factors like hydration heat, activation energy, temperature, and time.
Limitations
Further studies are needed to verify the relationships obtained based on testing of concrete samples.
Digital Object Identifier (DOI)
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