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| 反映温度历程的水工混凝土弹性模量预测模型探讨 |
| Discussion on prediction model of elastic modulus ofhydraulic concrete considering temperature history |
| 投稿时间：2024-09-27 修订日期：2024-11-26 |
| DOI： |
| 中文关键词: 水工混凝土 活化能 等效龄期 弹性模量 预测模型 |
| 英文关键词:Hydraulic concrete Activation energy Equivalent age Elastic modulus Prediction model |
| 基金项目:国家自然科学基金(52239009,52179135) |
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| 中文摘要: |
| 针对现有水工混凝土弹性模量预测模型难以合理反映经历变温历程的水工混凝土弹性模量变化规律，在室内开展了4种不同养护温度(2℃、8℃、20℃和40℃)下水工混凝土动弹性模量试验以及标准养护温度下水工混凝土动、静弹性模量试验，通过建立动、静弹性模量之间的回归关系式，获得了不同养护温度下的水工混凝土静弹性模量，然后采用最小二乘法计算了水工混凝土活化能，进而优化辨识了基于等效龄期的水工混凝土弹性模量预测模型参数，最后对比分析了新建弹性模量预测模型与现有弹性模量经验模型的预测效果。研究结果表明，基于不同养护温度下的动、静弹性模量计算的活化能分别为30.04 kJ/mol、31.96 kJ/mol，略小于基于不同养护温度下抗压强度计算的活化能32.86 kJ/mol；基于等效龄期建立的水工混凝土弹性模量预测模型的拟合精度优于现有弹性模量经验模型。 |
| 英文摘要: |
| In view of the fact that the existing prediction model of elastic modulus of hydraulic concrete is difficult to reasonably reflect the variation law of elastic modulus of hydraulic concrete under variable temperature process, the dynamic elastic modulus test of hydraulic concrete under four different curing temperatures ( 2 °C, 8 °C, 20 °C and 40 °C ) and the dynamic and static elastic modulus test of hydraulic concrete under standard curing temperature were carried out indoors. By establishing the regression relationship between dynamic and static elastic modulus, the static elastic modulus of hydraulic concrete under different curing temperatures was obtained, and then the activation energy of hydraulic concrete was calculated by least square method. Then, the parameters of the elastic modulus prediction model of hydraulic concrete based on equivalent age are optimized and identified. Finally, the prediction effects of the new elastic modulus prediction model and the existing elastic modulus empirical model are compared and analyzed. The results show that the activation energy calculated based on the dynamic and static elastic modulus at different curing temperatures is 30.04 kJ /mol and 31.96 kJ / mol, respectively, which is slightly smaller than the activation energy 32.86 kJ / mol calculated based on the compressive strength at different curing temperatures. The fitting accuracy of the elastic modulus prediction model of hydraulic concrete based on the equivalent age is better than that of the existing elastic modulus empirical model. |
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