ACI 209.2R 08 2008
$42.52
209.2R-08 Guide for Modeling and Calculating Shrinkage and Creep in Hardened Concrete
Published By | Publication Date | Number of Pages |
ACI | 2008 | 48 |
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.
PDF Catalog
PDF Pages | PDF Title |
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3 | CONTENTS |
4 | CHAPTER 1— INTRODUCTION AND SCOPE 1.1— Background 1.2—Scope 1.3—Basic assumptions for development of prediction models 1.3.1 Shrinkage and creep are additive |
5 | 1.3.2 Linear aging model for creep 1.3.3 Separation of creep into basic creep and dryingcreep 1.3.4 Differential shrinkage and creep or shrinkage andcreep gradients are neglected 1.3.5 Stresses induced during curing phase are negligible CHAPTER 2— NOTATION AND DEFINITIONS 2.1— Notation |
6 | 2.2—Definitions |
7 | CHAPTER 3— PREDICTION MODELS 3.1— Data used for evaluation of models 3.2—Statistical methods for comparing models |
8 | 3.3—Criteria for prediction models 3.4—Identification of strains |
9 | 3.5—Evaluation criteria for creep and shrinkage models CHAPTER 4— MODEL SELECTION |
10 | 4.1—ACI 209R-92 model |
11 | 4.2—Bazant-Baweja B3 model 4.3—CEB MC90-99 model |
13 | 4.4—GL2000 model 4.5—Statistical comparisons 4.6—Notes about models |
15 | CHAPTER 5— REFERENCES 5.1— Referenced standards and reports 5.2—Cited references |
18 | APPENDIX A— MODELS A.1— ACI 209R- 92 model A.1.1 Shrinkage |
20 | A.1.2 Compliance |
22 | A.2—Bazant-Baweja B3 model A.2.1 Shrinkage |
23 | A.2.2 Compliance |
24 | A.3—CEB MC90-99 model A.3.1 Shrinkage CEB MC90 |
25 | A.3.2 Shrinkage CEB MC90-99 |
26 | A.3.3 Compliance |
28 | A.4—GL2000 model |
29 | A.4.1 Relationship between specified and mean compressivestrength of concrete A.4.2 Modulus of elasticity A.4.3 Aggregate stiffness A.4.4 Strength development with time A.4.5 Shrinkage A.4.6 Compliance equations |
30 | APPENDIX B— STATISTICAL INDICATORS B.1—BP coefficient of variation B.2—CEB statistical indicators |
31 | B.2.1 CEB coefficient of variation B.2.2 CEB mean square error B.2.3 CEB mean deviation B.3—The Gardner coefficient of variation ( |
32 | APPENDIX C— NUMERIC EXAMPLES C.1—ACI 209R-92 model solution C.1.1 Estimated concrete properties C.1.2 Estimated concrete mixture C.1.3 Shrinkage strains εsh(t,tc) |
33 | C.1.4 Compliance J(t,to) |
35 | C.2—Bazant-Baweja B3 model solution C.2.1 Estimated concrete properties C.2.2 Estimated concrete mixture C.2.3 Shrinkage strains εsh(t,tc) |
36 | C.2.4 Compliance J(t,to) = q1 + Co(t,to) + Cd(t,to,tc) |
38 | C.3—CEB MC90-99 model solution C.3.1 Estimated concrete properties C.3.2 Estimated concrete mixture C.3.3 CEB MC90 shrinkage strains εsh(t,tc) |
39 | C.3.4 CEB MC90-99 shrinkage strains εsh(t,tc) |
40 | C.3.5 Compliance J(t,to) |
43 | C.4—GL2000 model solution C.4.1 Estimated concrete properties C.4.2 Estimated concrete mixture C.4.3 Shrinkage strains εsh(t,tc) |
44 | C.4.4 Compliance J(t,to) |
46 | C.5—Graphical comparison of model predictions C.5.1 Shrinkage strains εsh(t,tc) C.5.2 Compliance J(t,to) |