Next Article in Journal
Corrosion Behavior of Detonation Gun Sprayed Fe-Al Type Intermetallic Coating
Previous Article in Journal
Cellular Response to Doping of High Porosity Foamed Alumina with Ca, P, Mg, and Si
Article Menu

Export Article

Open AccessArticle
Materials 2015, 8(3), 1089-1107; doi:10.3390/ma8031089

Factorial Design Approach in Proportioning Prestressed Self-Compacting Concrete

1
Guangdong Province Key Laboratory of Durability for Marine Civil Engineering, College of Civil Engineering, Shenzhen University, Shenzhen 518060, China
2
Faculty of Civil, Architectural and Environmental Engineering, Missouri University of Science and Technology, Rolla, MO 65409, USA
3
Cement Association of Canada, Montreal, QC J7H 1S7, Canada
*
Author to whom correspondence should be addressed.
Academic Editor: Maryam Tabrizian
Received: 2 December 2014 / Revised: 30 December 2014 / Accepted: 9 March 2015 / Published: 13 March 2015
View Full-Text   |   Download PDF [379 KB, uploaded 13 March 2015]   |  

Abstract

In order to model the effect of mixture parameters and material properties on the hardened properties of, prestressed self-compacting concrete (SCC), and also to investigate the extensions of the statistical models, a factorial design was employed to identify the relative significance of these primary parameters and their interactions in terms of the mechanical and visco-elastic properties of SCC. In addition to the 16 fractional factorial mixtures evaluated in the modeled region of −1 to +1, eight axial mixtures were prepared at extreme values of −2 and +2 with the other variables maintained at the central points. Four replicate central mixtures were also evaluated. The effects of five mixture parameters, including binder type, binder content, dosage of viscosity-modifying admixture (VMA), water-cementitious material ratio (w/cm), and sand-to-total aggregate ratio (S/A) on compressive strength, modulus of elasticity, as well as autogenous and drying shrinkage are discussed. The applications of the models to better understand trade-offs between mixture parameters and carry out comparisons among various responses are also highlighted. A logical design approach would be to use the existing model to predict the optimal design, and then run selected tests to quantify the influence of the new binder on the model. View Full-Text
Keywords: self-compacting concrete; factorial design; statistical model; model region; mechanical properties; visco-elastic properties self-compacting concrete; factorial design; statistical model; model region; mechanical properties; visco-elastic properties
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Long, W.-J.; Khayat, K.H.; Lemieux, G.; Xing, F.; Wang, W.-L. Factorial Design Approach in Proportioning Prestressed Self-Compacting Concrete. Materials 2015, 8, 1089-1107.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Materials EISSN 1996-1944 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top