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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 廖文正 | zh_TW |
| dc.contributor.advisor | Wen-Cheng Liao | en |
| dc.contributor.author | 阮平段 | zh_TW |
| dc.contributor.author | Nguyen Doan Binh | en |
| dc.date.accessioned | 2023-08-15T16:28:50Z | - |
| dc.date.available | 2023-11-09 | - |
| dc.date.copyright | 2023-08-15 | - |
| dc.date.issued | 2023 | - |
| dc.date.submitted | 2023-07-27 | - |
| dc.identifier.citation | [1] ACI Committee 237, "Self-Consolidating Concrete," American Concrete Institute, ACI 237R-07, 2007.
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| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/88477 | - |
| dc.description.abstract | 收縮和潛變是兩種隨時間持續增加的變形，它們顯著影響混凝土結構的體積穩定性及使用性，尤其是漿體量高的自充填混凝土（SCC）。國內外已經有許多預測模型來評估混凝土結構之收縮潛變，惟大多數可都是針對傳統混凝土，雖然也有一些模型針對SCC進行了修正；然而這些模型在預測SCC的收縮和潛變仍不甚準確，尤其是自體收縮和基本潛變之準確性仍偏低。此外，現今產官學界仍缺乏SCC完整的收縮潛變的實驗數據資料庫。
本研究重點開發B4TW-SCC模型來預測SCC之收縮和潛變，並廣泛蒐集國內外1995年至2021年間SCC研究論文以最佳化預測模型；本研究也建置了國內外最完整SCC資料庫，命名為NTU-SCC，該資料庫包括1316個收縮試驗資料集和266個潛變試驗資料集（每個資料集中含該次試驗之所有資料點），並利加權分析確定修正收縮和潛變預測模型參數。本研究也進行了研究卜作嵐摻料（包括飛灰和水淬高爐爐碴粉）不同替代水泥量（重量比不超過40%）之SCC收縮和潛變行為影響的實驗，其中水膠比在0.36-0.48間。研究發現礦物摻料、水膠比等多種因素影響SCC的新拌和硬固性質，實驗結果也與預測模型的預測值進行了比較。B4TW-SCC模型對自體收縮、彈性模數、配比組成等參數進行最佳化；與ACI 209R-92模型、B4模型、fib MC2010等其他模型相比，B4TW-SCC在預測SCC自體收縮、總收縮、基本潛變和總潛變具有最佳的準確性。 | zh_TW |
| dc.description.abstract | Shrinkage and creep are two notable time-dependent deformations that significantly influence the dimensional stability and serviceability of concrete structures, particularly for self-compacting concrete (SCC) due to its higher paste amount. Many prediction models have been developed over the years to estimate these time-dependent deformations on the concrete structure. While most of the available models were designed for conventional concrete, a few models were modified for SCC. However, these models still have low accuracy in predicting shrinkage and creep of SCC, particularly autogenous shrinkage and basic creep of SCC. Besides, the lack of a database was collected for shrinkage and creep of SCC.
This research focused on developing the B4TW-SCC model to predict the strains of SCC due to shrinkage and creep. The calibration of the prediction model was optimized to fit the NTU-SCC database, which includes 1316 datasets of shrinkage tests and 266 datasets of creep tests based on numerous published research papers for SCC from 1995 to 2021. The optimum strategy was introduced on the weighting scheme to determine the shrinkage and creep prediction model parameters. Furthermore, the experiment was carried out to investigate the influences of pozzolanic materials, including fly ash and slag, as partial replacement of cement with different contents up to 40% by weight on shrinkage and creep behavior of SCC was carried out. The different water to cementitious material ratios in the range of 0.36–0.48 were also tested on shrinkage behavior. The study found that many factors, such as mineral admixture and water to cementitious material ratio, influenced the fresh and hardened properties of SCC. The experimental results were also compared to the calculated values of prediction models. The B4TW-SCC model was improved on adjusted formulae of autogenous shrinkage, elastic modulus formula, new average composition, and optimized parameters. Therefore, this model resulted in the best accuracy to predict autogenous shrinkage, total shrinkage, basic creep, and total creep of SCC in comparison with other models such as the ACI 209R-92 model, B4 model, fib MC2010, as well as the prediction models of SCC and the tested shrinkage and creep. | en |
| dc.description.provenance | Submitted by admin ntu (admin@lib.ntu.edu.tw) on 2023-08-15T16:28:50Z No. of bitstreams: 0 | en |
| dc.description.provenance | Made available in DSpace on 2023-08-15T16:28:50Z (GMT). No. of bitstreams: 0 | en |
| dc.description.tableofcontents | Acknowledgements i
Abstract ii 摘要 iii Table of Contents iv Symbols viii Abbreviations xi List of Tables xii List of Figures xv Chapter 1 INTRODUCTION 1 1.1 Background 1 1.2 Research objectives 3 1.3 Research methodologies 3 Chapter 2 LITERATURE REVIEW 4 2.1 Self-compacting concrete 4 2.1.1 Definition 4 2.1.2 Specification of SCC 4 2.1.3 Classification of mix design for SCC 8 2.1.4 Materials 8 2.1.5 Advantages, disadvantages and applications 11 2.2 Types of shrinkage and creep 11 2.2.1 Shrinkage types 11 2.2.2 Creep types 13 2.3 Mechanism of shrinkage and creep 15 2.3.1 Mechanism of shrinkage 15 2.3.2 Mechanism of creep 16 2.4 Influential factors on shrinkage and creep of SCC 18 2.4.1 Effect of factors on shrinkage behavior 18 2.4.2 Effect of factors on creep behavior 38 2.5 Prediction models for shrinkage and creep of concrete 46 2.6 Prediction models for shrinkage and creep of SCC 48 2.6.1 CEB90 (Poppe 2005) model 48 2.6.2 AASHTO (Khayat) model 49 2.6.3 CEB90 (Kavanaugh 2008) model 50 2.6.4 JSCE (Aslani 2013) model 50 2.7 Statistical indicators 52 2.7.1 BP coefficient of variation method 52 2.7.2 CEB statistical indicators 53 2.7.3 The Gardner coefficient of variation 54 2.7.4 Coefficient of determination 55 2.7.5 Mean square error and root mean square error 55 2.7.6 Normalized root mean square error 56 2.8 Statistical distribution 56 2.9 Concluding remarks 57 Chapter 3 SHRINKAGE AND CREEP DATABASE OF SCC 60 3.1 Shrinkage and creep database of SCC 60 3.1.1 Assembling and management of database 60 3.1.2 Overview of shrinkage and creep database 60 3.2 Mix parameters of NTU-SCC database 66 3.3 Management of the shrinkage and creep database of SCC 69 3.4 Connection between SQL server to Python program 71 3.5 Evaluation of present models for shrinkage and creep database 74 3.5.1 Present models for shrinkage database 74 3.5.2 Present models for creep database 89 3.6 Suggestion of developing B4TW-2020 model for SCC 100 3.7 Concluding remarks 100 Chapter 4 B4TW-SCC MODEL FOR SHRINKAGE AND CREEP OF SCC 102 4.1 Ranges of parameters for shrinkage and creep of SCC 102 4.2 Optimization method for B4TW-SCC model 103 4.2.1 Unbiased statistics 103 4.2.2 Optimum process for shrinkage 103 4.2.3 Optimum process for creep 104 4.3 Development of B4TW-SCC model for shrinkage of SCC 105 4.3.1 Adjustments of coefficients for NTU-SCC database 105 4.3.2 Optimization of autogenous shrinkage parameters 105 4.3.3 Optimization of total shrinkage parameters 108 4.3.4 Shrinkage prediction of SCC using mineral admixtures 110 4.3.5 Shrinkage formulae of B4TW-SCC model 114 4.3.6 Evaluation of B4TW-SCC model for shrinkage 116 4.4 Development of B4TW-SCC model for creep of SCC 119 4.4.1 Optimization of elastic modulus of SCC 119 4.4.2 Creep formulae of B4TW-SCC model 122 4.4.3 Optimization of creep parameters 124 4.4.4 Creep prediction of SCC using mineral admixtures 130 4.4.5 Evaluation of B4TW-SCC model for creep 134 4.5 Concluding remarks 137 Chapter 5 EXPERIMENT PROGRAM OF SHRINKAGE AND CREEP 138 5.1 Mix design of experiment program 138 5.1.1 Purposes of designated mix proportions 138 5.1.2 Mix design 138 5.2 Materials and specimens 140 5.2.1 Materials 140 5.2.2 Specimens 142 5.2.3 Mixing 143 5.3 Experimental methods 144 5.3.1 Slump flow test 144 5.3.2 V-funnel test 144 5.3.3 U-box test 144 5.3.4 Compressive strength and elastic modulus tests 145 5.3.5 Shrinkage tests 147 5.3.6 Creep tests 148 5.4 Results and discussion 153 5.4.1 Trial batches 153 5.4.2 Workability of SCC 157 5.4.3 Mechanical properties of SCC 158 5.4.4 Shrinkage behavior of SCC 159 5.4.5 Creep behavior of SCC 164 5.4.6 Comparison of shrinkage with prediction models 166 5.4.7 Comparison of creep with prediction models 172 5.5 Concluding remarks 175 Chapter 6 CONCLUSION AND FUTURE WORK 177 6.1 Conclusion 177 6.2 Future work 178 References 180 Appendices 195 Appendix A Models for shrinkage and creep of concrete 195 A.1 ACI 209R-92 model 195 A.2 CEB-FIB model 196 A.3 Eurocode 2 model 201 A.4 AASHTO model 203 A.5 GL2000 model 203 A.6 JSCE model 204 A.7 AS 3600 model 206 A.8 B3 model 207 A.9 B4 model 209 A.10 CCL model 213 A.11 B4TW model 214 Appendix B Reference papers of shrinkage and creep database of SCC 220 Curriculum Vitae 243 | - |
| dc.language.iso | en | - |
| dc.title | 自充填混凝土收縮潛變行為及其預測模型 | zh_TW |
| dc.title | Prediction Model for Shrinkage and Creep Behavior of Self-Compacting Concrete | en |
| dc.type | Thesis | - |
| dc.date.schoolyear | 111-2 | - |
| dc.description.degree | 博士 | - |
| dc.contributor.oralexamcommittee | 詹穎雯;楊仲家;劉玉雯;邱建國 | zh_TW |
| dc.contributor.oralexamcommittee | Yin-Wen Chan;Chung-Chia Yang;Yu-Wen Liu;Chien-Kuo Chiu | en |
| dc.subject.keyword | 潛變,收縮,依時變形,資料庫,預測模型,自充填混凝土,卜作嵐材料, | zh_TW |
| dc.subject.keyword | creep,shrinkage,time-dependent deformation,database,prediction model,self-compacting concrete,pozzolanic material, | en |
| dc.relation.page | 243 | - |
| dc.identifier.doi | 10.6342/NTU202302094 | - |
| dc.rights.note | 同意授權(全球公開) | - |
| dc.date.accepted | 2023-07-31 | - |
| dc.contributor.author-college | 工學院 | - |
| dc.contributor.author-dept | 土木工程學系 | - |
| 顯示於系所單位： | 土木工程學系 | |
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