Developing Taiwan''s Concrete Shrinkage FormulaeBased on Establishment and Application of Database

• Main Authors: Wei-Yi Chin, 秦維邑
• Other Authors: Jenn-Chuan Chern
• Format: Others
• Language: zh-TW
• Published: 2017
• Online Access: http://ndltd.ncl.edu.tw/handle/yntt7e

碩士 === 國立臺灣大學 === 土木工程學研究所 === 105 === In order to achieve concrete structure’s safety and servibility, it is important to consider its deformation, strength, and durability in design, construction and maintenance process. Tests and researches on the creep and shrinkage of concrete have been developed over several decades all around the world. For better analysis and integration, Northwestern University (NU) of the USA has established a concrete deformation database which includes data from around the world while Japan Society of Civil Engineers (JSCE) has also established their own database which incorporates data from Japan. National Taiwan University (NTU) began collecting data from Taiwan and established the first-version of database in 2001. This study continues the early work at NTU and follows the framework and formula of the NU database in establishing Taiwan Creep and Shrinkage Database, the purpose of which is in collecting and integrating up-to-date on local shrinkage and creep data. After a comparison between international and Taiwan-only data, some distinct local characteristics of concrete in Taiwan have been discovered. The local concrete produced is generally made with a high amout of cement, low water-cement ratio, as well as low elastic modulus of sandstone aggregate, which may result in higher shrinkage. This study takes the Model B4 shrinkage prediction model as a base for the development of a local prediction model for Taiwan. Modifications to the model, where necessary, mainly concern the underestimation of local aggregate elastic modulus, large deformation due to high paste amount, and concrete with mineral admixture such as slag and fly ash. Rather than traditional methods, this study uses new tools for database establishment and analysis, and combines them into a new procedure. The new procedure consists of MySQL, a Database Management System, for database establishment, and Python, a programming language, for programing of analysis models and post-processing tasks. The result shows that this new database processing procedure is faster and more efficient than traditional procedures. Because SQL (the database programming language of MySQL) is highly portable, which facilitates integration between MySQL and Python and professional and various packages in Python allow one to proceed with many steps of analysis and post-processing automatically. It is foreseen that this study will help incorporate the Taiwan database into world concrete deformation database and will help establish an effective platform based on MySQL and Python. This, in turn, is expected to promote the development of a new era of cloud calculation and user-friendly web systems for deformation prediction.