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Calculation of Cement Composition Using a New Model Compared to the Bogue Model
Sang-Hyo Shim1,2, Tae-Hee Lee2, Seong-Joon Yang2
1POSCO Engineering and Construction, Incheon Tower-Daero, Yeonsu-gu, Incheon 22009, Korea.
Materials (Basel, Switzerland)
|August 27, 2021
Summary
New cement composition models improve accuracy by 5% over traditional Bogue models. This enhances predictions for advanced concrete applications like climate-resilient and durable materials.
Area of Science:
- Materials Science
- Chemical Engineering
- Civil Engineering
Background:
- Traditional Bogue models for cement composition have limitations.
- Experimental data shows discrepancies in alite, belite, aluminate, and ferrite compositions.
- Minor Al2O3 and Fe2O3 variations impact cement property predictions.
Purpose of the Study:
- To develop improved models for calculating cement composition.
- To enhance the accuracy of predicting concrete properties.
- To support the development of advanced concrete materials.
Main Methods:
- Proposed 20 new models with modified chemical compositions.
- Verified models against 50 experimental datasets.
- Identified the most accurate models through verification.
Main Results:
- New models offer approximately 5% improved accuracy over Bogue models.
- Identified the most accurate predictive models.
- Presented the applicable range for the new models.
Conclusions:
- The developed models provide more precise cement composition calculations.
- Improved accuracy facilitates better prediction for specialized concrete.
- This advancement aids in creating climate-change adaptable and high-durability concrete.
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