Statistical linear regression analysis of prediction models for creep and shrinkage

Zdeněk P. Bažant; Steven Zebich

doi:10.1016/0008-8846(83)90088-1

Statistical linear regression analysis of prediction models for creep and shrinkage

Zdeněk P. Bažant^*, Steven Zebich

^*Corresponding author for this work

Civil and Environmental Engineering

Research output: Contribution to journal › Article › peer-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 language	English (US)
Pages (from-to)	869-876
Number of pages	8
Journal	Cement and Concrete Research
Volume	13
Issue number	6
DOIs	https://doi.org/10.1016/0008-8846(83)90088-1
State	Published - 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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10.1016/0008-8846(83)90088-1

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title = "Statistical linear regression analysis of prediction models for creep and shrinkage",

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.",

author = "Ba{\v z}ant, {Zden{\v e}k P.} and Steven Zebich",

note = "Funding Information: Partial support under U. S. National Science Foundation Grant No. CEE800-9050 deserves mention.",

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AU - Zebich, Steven

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PY - 1983/11

Y1 - 1983/11

N2 - 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.

AB - 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.

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ER -

Statistical linear regression analysis of prediction models for creep and shrinkage

Abstract

Funding

ASJC Scopus subject areas

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