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Computational multiscale modelling of thermally induced dehydration of blended hardened cement paste
Cement and Concrete Research ( IF 11.4 ) Pub Date : 2024-04-04 , DOI: 10.1016/j.cemconres.2024.107485
Simon Peters , Günther Meschke

A multiscale model able to describe the dehydration behaviour in terms of mass loss, porosity increase and Young’s modulus degradation of blended cement pastes at elevated temperatures is proposed. The cement composition and the heating rate are the input of the model. Known stoichiometric chemical dehydration formulas and kinetics of each hardened cement constituent are used to predict the water release and the porosity of the blended hardened cement paste at elevated temperatures. Based on these submodels, micromechanics homogenisation methods (Mori–Tanaka and Self-Consistent schemes) are employed to determine the Young’s modulus. The model is extensively validated using nine experimental data sets (measurements of mass loss, porosity, Young’s modulus). Finally, the model based analysis shows that adding carbonate decreases and fly ash, silica fume and blast furnace slag increases the explosive spalling risk of blended hardened cement pastes.

中文翻译:

混合硬化水泥浆体热致脱水的计算多尺度建模

提出了一种多尺度模型,能够描述混合水泥浆体在高温下的质量损失、孔隙率增加和杨氏模量下降方面的脱水行为。水泥成分和加热速率是模型的输入。使用已知的化学计量化学脱水公式和每种硬化水泥成分的动力学来预测在高温下混合的硬化水泥浆体的水释放和孔隙率。基于这些子模型,采用微观力学均质化方法(Mori-Tanaka 和自洽方案)来确定杨氏模量。该模型使用九个实验数据集(质量损失、孔隙率、杨氏模量的测量)进行了广泛验证。最后,基于模型的分析表明,碳酸盐的添加会减少,而粉煤灰、硅粉和高炉矿渣会增加混合硬化水泥浆体的爆炸剥落风险。
更新日期:2024-04-04
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