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Concrete Mixture Optimization Using Statistical Mixture Design Methods.

Published

Author(s)

E S. Lagergren, Kenneth A. Snyder, M J. Simon

Abstract

The optimization of mixture proportions for high-performance concretes, which contain many constituents and are often subject to several performance constraints, can be a difficult and time-consuming task. Statistical experiment design and analysis methods have been developed specifically for the purpose of optimizing mixtures, such as concrete, in which the final product properties depend on the relative proportions of the components rather than their absolute amounts. Although mixture methods have been used in industry to develop products such as gasoline, metal alloys, detergents and foods, they have seen little application in the concrete industry. This paper describes an experiment in which a statistical mixture experiment was used to optimize a six-component concrete mixture subject to several performance constraints. The experiment was performed in order to assess the usefulness of this technique for high performance concrete mixture proportioning in general.
Proceedings Title
High Performance Concrete International Symposium. Proceedings. PCI/FHWA
Conference Dates
October 20-22, 1997
Conference Location
New Orleans, LA

Keywords

concretes, mixtures, statistical analysis, experiments

Citation

Lagergren, E. , Snyder, K. and Simon, M. (1997), Concrete Mixture Optimization Using Statistical Mixture Design Methods., High Performance Concrete International Symposium. Proceedings. PCI/FHWA, New Orleans, LA, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=917028 (Accessed July 14, 2024)

Issues

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Created October 22, 1997, Updated February 17, 2017