ACI PRC-209.2-08 Guide for Modeling and Calculating Shrinkage and Creep in Hardened Concrete

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This guide is intended for the prediction of shrinkage and creep in compression in hardened concrete. It may be assumed that predictions apply to concrete under tension and shear. It outlines the problems and limitations in developing prediction equations for shrinkage and compressive creep of hardened concrete. It also presents and compares the prediction capabilities of four different numerical methods. The models presented are valid for hardened concrete moist cured for at least 1 day and loaded after curing or later. The models are intended for concretes with mean compressive cylindrical strengths at 28 days within a range of at least 20 to 70 Mpa (3000 to 10,000 psi). This document is addressed to designers who wish to predict shrinkage and creep in concrete without testing. For structures that are sensitive to shrinkage and creep, the accuracy of an individual model’s predictions can be improved and their applicable range expanded if the model is calibrated with test data of the actual concrete to be used in the project.

Keywords: creep; drying shrinkage; prediction models; statistical indicators.


Document Details

Author: ACI Committee 209

Publication Year: 2008

Pages: 45

ISBN: 9780870312786

Categories: Creep & Shrinkage

Formats: PDF

Table of Contents

Chapter 1—Introduction and scope



1.3—Basic assumptions for development of prediction models

Chapter 2—Notation and definitions



Chapter 3—Prediction models

3.1—Data used for evaluation of models

3.2—Statistical methods for comparing models

3.3—Criteria for prediction models

3.4—Identification of strains

3.5—Evaluation criteria for creep and shrinkage models

Chapter 4—Model selection

4.1—ACI 209R-92 model

4.2—Bažant-Baweja B3 model

4.3—CEB MC90-99 model

4.4—GL2000 model

4.5—Statistical comparisons

4.6—Notes about models

Chapter 5—References

5.1—Referenced standards and reports

5.2—Cited references

Appendix A—Models

A.1—ACI 209R-92 model

A.2—Bažant-Baweja B3 model

A.3—CEB MC90-99 model

A.4—GL2000 model

Appendix B—Statistical indicators

B.1—BP coefficient of variation method (ϖBP%)

B.2—CEB statistical indicators

B.3—The Gardner coefficient of variation (ωG)

Appendix C—Numeric examples, p. 209.2R-30

C.1—ACI 209R-92 model solution

C.2—Bažant-Baweja B3 model solution

C.3—CEB MC90-99 model solution

C.4—GL2000 model solution

C.5—Graphical comparison of model predictions


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