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http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/89012
標題: | 台灣地區巨積混凝土配比之化學摻料敏感度分析 Sensitivity Analysis of Chemical Admixtures of Mass Concrete Mix Design in Taiwan |
作者: | 蔡宇筌 Yu-Chiuan Tsai |
指導教授: | 詹穎雯 Yin-Wen Chan |
關鍵字: | 巨積混凝土,成熟度法,等效齡期,水化度參數,絕熱溫升試驗,化學摻料,預測模型, mass concrete,maturity method,equivalent age,hydration parameters,adiabatic calorimetry,chemical admixture,prediction mode, |
出版年 : | 2023 |
學位: | 碩士 |
摘要: | 本研究對本研究群所修改的水化度三參數預測模型為基礎再次進行參數的修正,並完善巨積混凝土溫度預測式網頁。化學摻料在國內巨積混凝土工程中,普遍應用於工作度需求較高的案例。但在進行化學摻料的添加時,通常會忽略化學摻料對混凝土在溫度表現上的影響,因此本研究回歸到配比設計上,以不同化學摻料添加量作為主要變因進行了抗壓強度試驗和絕熱溫升試驗。
透過進行抗壓強度試驗能得到在強度表現上造成的影響;而透過絕熱溫升試驗來觀察混凝土早齡期水化反應表現,從溫升表現可直觀看出化學摻料對溫度造成的影響。而將絕熱溫升試驗結果,配合成熟度法(等效齡期)的概念,運用抗壓強度試驗結果外插出極限水化度,進而透過水化度曲線模型迴歸出設計配比所對應的水化度三參數。 以不同化學摻料添加量,在純水泥、含有25%飛灰、含有50%爐石粉三種情況下進行各項試驗,透過計算迴歸得到每筆配比所對應的水化度三參數,再配合現有的國內水化度資料,透過非線性迴歸來進行水化度三參數預測式之修正,並將修正後之預測式修改至溫度預測式網頁上以完善之。 Based on the modified hydration three-parameter prediction model developed by NTUCE research group, this study further revised the parameters correlated to chemical admixture and improved the website of temperature prediction model for mass concrete. Chemical admixtures are commonly used in mass concrete projects, especially in cases where high workability is required. However, the influence of chemical admixtures on concrete hydration performance is often not taking into account. Therefore, this study focused on mix proportioning design and conducted compressive strength tests and adiabatic temperature measurements with different dosages of chemical admixtures. The compressive strength tests provided insights into the strength performance, while the adiabatic temperature measurements reveal observed the early-age hydration reaction of concrete. The temperature rise behavior obviously showed the effects of chemical admixtures on temperature. The adiabatic temperature measurements were then incorporated with the maturity method and the concept of equivalent age, and then the ultimate hydration degree can be extrapolated using the compressive strength test results. Subsequently, the hydration three-parameter values corresponding to the mix proportioning were obtained through regression analysis using a hydration degree curve model. Tests were conducted with different dosages of chemical admixtures in three scenarios: pure cement, 25% of cement replaced by fly ash, and 50% of cement replaced by slag. Regression analysis was performed to determine the hydration three-parameter values for each mix proportion. Furthermore, using nearly 20 years of hydration data from domestic and international sources, nonlinear regression analysis was conducted to revise the hydration degree three-parameter prediction model. The modified prediction model was then incorporated into the temperature prediction website for further improvement. |
URI: | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/89012 |
DOI: | 10.6342/NTU202302471 |
全文授權: | 同意授權(限校園內公開) |
顯示於系所單位: | 土木工程學系 |
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