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Models for Predicting Hydration Degree and Adiabatic Temperature Rise of Mass Concrete containing Ground Granulated Blast Furnace Slag

机译:含粒状高炉矿渣的大体积混凝土水化程度和绝热温升的预测模型

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Predicting adiabatic temperature rise is essentially useful for investigating thermal cracking potential especially in early stage of mass concrete. ?Existing prediction methods and models have some problems such as constant thermal properties are mostly utilized for predicting temperature rise. This study is aimed to develop time-dependent models for predicting hydration degrees of cement and slag, free water amount, specific heat, and total heat generation of concrete incorporating slag. ?These models are then composed to predict the adiabatic temperature rise of mass concrete incorporating slag. ?The model is able to predict adiabatic temperature rise in mass concrete with different water to binder ratios, slag replacements, physical properties of slag, and initial temperature conditions. ?The validity of the proposed model was evaluated by comparing the model predictions with test results for adiabatic temperature rise of slag concrete. ?The model simulations can be used to predict the experimentally measured data from different
机译:预测绝热温升对于研究热裂可能性尤其有用,特别是在大体积混凝土的早期阶段。现有的预测方法和模型存在一些问题,例如恒定的热性能主要用于预测温度升高。这项研究旨在建立时间依赖性模型,以预测水泥和矿渣的水合度,自由水量,比热以及掺入矿渣的混凝土的总热量。然后,这些模型被组成来预测掺入矿渣的大体积混凝土的绝热温升。 ?该模型能够预测具有不同水胶比,矿渣替代,矿渣的物理性质和初始温度条件的大体积混凝土的绝热温升。通过将模型预测与矿渣混凝土绝热温升的测试结果进行比较,评估了所提出模型的有效性。模型仿真可用于预测来自不同领域的实验测量数据

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