Concrete Mixture Optimization Using Statistical Mixture Design Methods.
Concrete Mixture Optimization Using Statistical Mixture
Design Methods.
(1057 K)
Simon, M. J.; Lagergren, E. S.; Snyder, K. A.
High Performance Concrete International Symposium.
Proceedings. PCI/FHWA. October 20-22, 1997, New
Orleans, LA, 230-244 pp, 1997.
Keywords:
concretes; mixtures; statistical analysis; experiments
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.
