Statistical linear regression analysis of prediction models for creep and shrinkage

Zdeněk P. Bažant*, Steven Zebich

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

13 Scopus citations

Abstract

Several models for the prediction of creep and shrinkage of concrete are compared statistically with test data available in the literature. The models are algebraically transformed into a linearized form and statistical regression is then carried out. Although the BP model performs distinctly better than the ACI and CEB-FIP Models, the scatter is large for all models, due to the difficulty in predicting material parameter values without any tests of the given concrete.

Original languageEnglish (US)
Pages (from-to)869-876
Number of pages8
JournalCement and Concrete Research
Volume13
Issue number6
DOIs
StatePublished - Nov 1983

Funding

Partial support under U. S. National Science Foundation Grant No. CEE800-9050 deserves mention.

ASJC Scopus subject areas

  • Building and Construction
  • General Materials Science

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