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Factorial Design Approach in Proportioning Prestressed Self-Compacting Concrete
Wu-Jian Long1, Kamal Henri Khayat2, Guillaume Lemieux3
1Guangdong Province Key Laboratory of Durability for Marine Civil Engineering, College of Civil Engineering, Shenzhen University, Shenzhen 518060, China. longwj@szu.edu.cn.
Materials (Basel, Switzerland)
|August 10, 2017
Summary
This study models self-compacting concrete (SCC) properties using factorial design. It identifies key mixture parameters influencing mechanical and shrinkage behavior, aiding in optimized concrete mix design.
Area of Science:
- Civil Engineering
- Materials Science
- Concrete Technology
Background:
- Self-compacting concrete (SCC) offers advantages in construction but requires precise mixture design.
- Understanding the interplay of mixture parameters is crucial for predicting hardened properties.
- Existing statistical models may need extensions to fully capture SCC behavior.
Purpose of the Study:
- To model the impact of mixture parameters and material properties on hardened prestressed SCC.
- To investigate extensions of statistical models for SCC.
- To identify the significance of primary parameters and their interactions on mechanical and visco-elastic properties.
Main Methods:
- Employed a factorial design approach, including fractional factorial and axial mixtures.
- Evaluated 16 fractional factorial mixtures and 8 axial mixtures.
- Assessed effects of binder type, binder content, VMA dosage, w/cm ratio, and S/A ratio.
Main Results:
- Quantified the influence of five key mixture parameters on compressive strength, modulus of elasticity, and shrinkage.
- Identified significant interactions between mixture parameters and their effects on SCC properties.
- Validated the applicability of statistical models for predicting SCC performance.
Conclusions:
- The developed models provide insights into trade-offs between mixture parameters.
- Statistical models can be used to predict optimal SCC designs.
- Further testing can refine models for new binder incorporation.
Keywords:
factorial designmechanical propertiesmodel regionself-compacting concretestatistical modelvisco-elastic propertiesMore Related Videos
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