Multivariate Design of Experiments for Engineering Dimensional Analysis

Daniel J. Eck, R. Dennis Cook, Christopher J. Nachtsheim, Thomas A. Albrecht

Research output: Contribution to journalArticle


We consider the design of dimensional analysis experiments when there is more than a single response. We first give a brief overview of dimensional analysis experiments and the dimensional analysis (DA) procedure. The validity of the DA method for univariate responses was established by the Buckingham Π-Theorem in the early 20th century. We extend the theorem to the multivariate case, develop basic criteria for multivariate design of DA and give guidelines for design construction. Finally, we illustrate the construction of designs for DA experiments for an example involving the design of a heat exchanger.

Original languageEnglish (US)
Pages (from-to)6-20
Number of pages15
Issue number1
StatePublished - Jan 1 2019
Externally publishedYes


  • Buckingham Π-theorem
  • Coordinate exchange algorithm
  • I-optimality
  • Optimal design
  • Robust-DA design

ASJC Scopus subject areas

  • Statistics and Probability
  • Modeling and Simulation
  • Applied Mathematics

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