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Publication Number: FHWA-RD-03-060

Concrete Mixture Optimization Using Statistical Methods

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REFERENCES

  1. Rougeron, P. and P.C. Aitcin, "Optimization of the Composition of a High-Performance Concrete," Cement, Concrete and Aggregates, V. 16, No. 2, December, 1994, pp. 115-124.

  2. ACI Committee 211, "Standard Practice for Selecting Proportions for Normal, Heavyweight, and Mass Concrete." In ACI Manual of Concrete Practice, Volume 1. Detroit: American Concrete Institute, 1995.

  3. Myers, R.H. and D.C. Montgomery. Response Surface Methodology: Process and Product Optimization Using Designed Experiments, New York: Wiley, 1995.

  4. Luciano, J.J, Nmai, C.K., and J.R. DelGado, "A Novel Approach to Developing High-Strength Concrete," Concrete International, May, 1991, pp. 25-29.

  5. Bajorski, P., Streeter, D.A., and R.J. Perry, "Applying Statistical Methods for Further Improvement of High-Performance Concrete for New York State Bridge Decks," Transportation Research Record No. 1574, Transportation Research Board, Washington, DC, 1997, pp. 71-79.

  6. DeLarrard, F., and A. Belloc, "The Influence of Aggregate on the Compressive Strength of Normal and High-Strength Concrete." ACI Materials Journal, V. 94, No. 5, 1997, pp. 417-426.

  7. Cornell, How to Run Mixture Experiments for Product Quality, American Society for Quality Control, 1990.

  8. Piepel and Cornell, "Mixture Experiment Approaches: Examples, Discussion, and Recommendations." Journal of Quality Technology, Vol. 26, No. 3, July, 1994, pp. 177­196.

  9. Box, G.E.P, Hunter, W.G., and J.S. Hunter, Statistics for Experimenters, New York: Wiley, 1978.

  10. Derringer, G. and R. Suich, "Simultaneous Optimization of Several Response Variables," Journal of Quality Technology, Vol. 12, No. 4, October, 1980, pp. 214-219.

  11. Peixoto, J. L., "Hierarchical Variable Selection in Polynomial Regression Models," The American Statistician, Vol. 41, No. 4, November, 1987.

  12. Design Expert 6 User's Guide, Stat-Ease, Inc., Minneapolis, MN, 2000.

 

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