This report presents the results of a research project whose goals were to investigate the feasibility of using statistical experiment design and analysis methods to optimize concrete mixture proportions and to develop an Internet-based software program to optimize concrete mixtures using these methods. Two experiment design approaches (classical mixture and factorial-based central composite design) were investigated in laboratory experiments. In each case, six component materials were used, and mixtures were optimized for four performance criteria (properties) and cost. Based on the experimental results, the factorialbased approach was selected as the basis for the Internet-based system. This system, the Concrete Optimization Software Tool (COST), employs a six-step interactive procedure starting with materials selection and working through trial batches, testing, and analysis of test results. The end result is recommended mixture proportions to achieve the desired performance levels. COST was developed as a tool to introduce the industry to the potential benefits of using statistical methods in concrete mixture proportioning, and to give interested parties an opportunity to try the methods for themselves.
The goal of the project was to develop a new type of self-consolidating concrete (SCC) for slip-form paving to simplify construction and make smoother...
High volume fly ash (HVFA) concrete mixtures offer many benefits, including reduced cost, reduced energy content, enhanced environmental sustainabilit...
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