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研究生: 林進隆
Andrian - Hartanto Limongan
論文名稱: 高性能混凝土之潛變與乾縮行為之探討
Study on the Creep and Shrinkage Behavior of High-Performance Concrete
指導教授: 黃兆龍
Chao-Lung Hwang
口試委員: 陳松堂
Song-Tang Chen
李隆盛
Lung-Sheng Li
潘誠平
Chan-Ping Pan
學位類別: 碩士
Master
系所名稱: 工程學院 - 營建工程系
Department of Civil and Construction Engineering
論文出版年: 2016
畢業學年度: 104
語文別: 英文
論文頁數: 203
中文關鍵詞: 耐久性潛變乾縮高性能混凝土卜作嵐材料
外文關鍵詞: Durabilty, Creep, Shrinkage, High-Performance Concrete, Pozzolanic materials
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The long-term performance of concrete, such as creep and shrinkage are important parameters in the precast/prestress industries as they are closely related with life cycle of the structures. For this reason, a study about the creep and shrinkage strain on the High-Performance Concrete (HPC) with a mix composition used in the prefabrication of prestressed bridge girders was performed. Furthermore, the hardened concrete tests, such as compressive strength, modulus of elasticity, and carbonation were also performed. The creep strain was evaluated at the strength-to-stress ratio of 25% at the age of 28-days. Concretes specimens reach their respective target strength, with the lightweight aggregate specimens expected to reach 10,000-psi in 2 years. After one year of observation, the compressive strength of Densified Mixture Design Algortihm (DMDA) concretes still increase, but ACI terminate. The incorporation of silica fume to the specimens, not only increases their strength, but also reduces the increase rate of modulus of elasticity up to 52.74%. The modulus of elasticity test result shows a good agreement with the prediction developed by ACI, with the R-squared value of 28 and 56 days are 0.927 and 0.945, respectively. New equations to predict the elastic modulus were proposed for 28-day and 56-day concrete. It is applicable to wide range of concretes from normal to high-strength. The 95% confidence intervals were examined to enhance the accuracy of the equations. Autogenous shrinkage is found to be lower in lightweight aggregate concrete. The test results show that the incorporation of pozzolanic materials designed using DMDA has positive effects on the propagation of creep strain. The increase rate of carbonation depth is much quicker from 28 days to 56 days, but getting slower from 56 to 91 days. The prediction model developed by CEB-FIP, ACI 209, and EUROCODE 2 exhibit satisfactory result. For the shrinkage model, CEB-FIP model give the best prediction result with R-squared value of 0.934, meanwhile for the creep strain, CEB-FIP and EUROCODE exhibit similar result, 0.864 and 0.856, respectively.


The long-term performance of concrete, such as creep and shrinkage are important parameters in the precast/prestress industries as they are closely related with life cycle of the structures. For this reason, a study about the creep and shrinkage strain on the High-Performance Concrete (HPC) with a mix composition used in the prefabrication of prestressed bridge girders was performed. Furthermore, the hardened concrete tests, such as compressive strength, modulus of elasticity, and carbonation were also performed. The creep strain was evaluated at the strength-to-stress ratio of 25% at the age of 28-days. Concretes specimens reach their respective target strength, with the lightweight aggregate specimens expected to reach 10,000-psi in 2 years. After one year of observation, the compressive strength of Densified Mixture Design Algortihm (DMDA) concretes still increase, but ACI terminate. The incorporation of silica fume to the specimens, not only increases their strength, but also reduces the increase rate of modulus of elasticity up to 52.74%. The modulus of elasticity test result shows a good agreement with the prediction developed by ACI, with the R-squared value of 28 and 56 days are 0.927 and 0.945, respectively. New equations to predict the elastic modulus were proposed for 28-day and 56-day concrete. It is applicable to wide range of concretes from normal to high-strength. The 95% confidence intervals were examined to enhance the accuracy of the equations. Autogenous shrinkage is found to be lower in lightweight aggregate concrete. The test results show that the incorporation of pozzolanic materials designed using DMDA has positive effects on the propagation of creep strain. The increase rate of carbonation depth is much quicker from 28 days to 56 days, but getting slower from 56 to 91 days. The prediction model developed by CEB-FIP, ACI 209, and EUROCODE 2 exhibit satisfactory result. For the shrinkage model, CEB-FIP model give the best prediction result with R-squared value of 0.934, meanwhile for the creep strain, CEB-FIP and EUROCODE exhibit similar result, 0.864 and 0.856, respectively.

Abstract i Acknowledgements iii Table of Contents v List of Tables viii List of Figures x Notations and symbols xviii Chapter 1 Introduction 1 1.1 Background 1 1.2 Aim and Objectives of the research 3 1.3 Thesis Organization 4 1.4 Research organization flow chart 5 Chapter 2 Literature review 7 2.1 Concrete performance 7 2.1.1 High-Performance Concrete 7 2.1.2 Self-Consolidating Concrete 8 2.1.3 Lightweight Concrete 9 2.2 Long-term performance of concrete 10 2.2.1 Shrinkage in concrete 11 2.2.2 Creep in concrete 22 2.3 Model to predict concrete shrinkage and creep 37 2.3.1 CEB-FIP model for shrinkage and creep strain prediction 37 2.3.2 ACI-209 model for shrinkage and creep strain prediction 40 2.3.3 EUROCODE 2 model for shrinkage and creep strain prediction 46 Chapter 3 Materials properties and experimental test programs 49 3.1 Materials properties 49 3.1.1 Portland cement, fly ash, slag and silica fume 49 3.1.2 Coarse aggregates 49 3.1.3 Fine aggregates 50 3.1.4 Superplasticizer and mixing water 50 3.2 Mix design procedure 51 3.2.1 American concrete institute method 52 3.2.2 Densified mixture design algorithm method 56 3.3 Experimental methods and apparatus 68 3.3.1 Compressive strength 68 3.3.2 Modulus of elasticity 69 3.3.3 Shrinkage 70 3.3.4 Creep 72 3.3.5 Carbonation 75 Chapter 4 Results and Discussions 79 4.1 Mix proportion parameters and design concepts 79 4.2 Properties of hardened concrete 81 4.2.1 Compressive strength 81 4.2.2 Modulus of elasticity 87 4.2.3 Autogenous Shrinkage 98 4.2.4 Drying Shrinkage 101 4.2.5 Total Shrinkage 108 4.2.6 Creep 113 4.2.7 Carbonation 121 4.3 Evaluation of model prediction 125 4.3.1 Shrinkage prediction models 126 4.3.2 Creep prediction model 142 4.3.3 Models analysis 159 Chapter 5 Conclusions and Suggestions 163 5.1 Conclusions 163 5.2 Suggestions 166 References 167

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