Statistical linear regression analysis of prediction models for creep and shrinkage
نویسندگان
چکیده
منابع مشابه
Statistical Linear Regression Analysis of Prediction Models for Creep and Shrinkage
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 p...
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The first part of the paper summarizes various aspects of the prediction of concrete creep and shrinkage to be discussed in the conference lecture. They include the theories of physical mechanism, prediction models, constitutive equations, computational approaches, probabilistic aspects, and research directions. The second part then presents two new prediction models. One of them deals with the...
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We consider Bayesian shrinkage predictions for the Normal regression problem under the frequentist Kullback-Leibler risk function. Firstly, we consider the multivariate Normal model with an unknown mean and a known covariance. While the unknown mean is fixed, the covariance of future samples can be different from training samples. We show that the Bayesian predictive distribution based on the u...
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ژورنال
عنوان ژورنال: Cement and Concrete Research
سال: 1983
ISSN: 0008-8846
DOI: 10.1016/0008-8846(83)90088-1