Application of the oneparameter Bayesian method as the PBMD for concrete mixproportion design

J. H.J. Kim, H. D. Phan, N. H. Yi, S. B. Kim, H. S. Jeong

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)31-47
Number of pages17
JournalMagazine of Concrete Research
Issue number1
Publication statusPublished - 2011 Jan 1

All Science Journal Classification (ASJC) codes

  • Civil and Structural Engineering
  • Building and Construction
  • Materials Science(all)


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