This paper presents a systematic approach for estimating material performance and designing the mix proportion of concrete based on an application of a Bayesian method in the form of satisfaction curves. The one-parameter satisfaction curve represents a satisfaction probability for a concrete performance criterion as a function of the concrete material parameters. An analysis method for combining multiple satisfaction curves to form one unique satisfaction curve that can reduce the performance of concrete to a single evaluating value, the goodness value, is proposed as an evaluation tool for the performance-based mixture design procedure. The proposed performancebased mixture design procedure is applied to test cases to obtain a target-oriented concrete mix proportion design and to verify the validity of the proposed method. Finally, the expected performance results of a concrete mix proportion designed using performance-based mixture design are compared with results calculated using the American Concrete Institute estimation equation to check whether the method is applicable to actual construction.
All Science Journal Classification (ASJC) codes
- Civil and Structural Engineering
- Building and Construction
- Materials Science(all)