| 基于灰色理论预测再生混凝土的抗冻性寿命 |
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| 引用本文： | 杨璐,周志云,张定博,王丽丹.基于灰色理论预测再生混凝土的抗冻性寿命[J].上海理工大学学报,2019,41(4):403-408. |
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| 作者姓名： | 杨璐 周志云 张定博 王丽丹 |
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| 作者单位： | 上海理工大学 环境与建筑学院, 上海 200093,上海理工大学 环境与建筑学院, 上海 200093,上海理工大学 环境与建筑学院, 上海 200093,上海理工大学 环境与建筑学院, 上海 200093 |
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| 摘 要： | 运用灰色理论建立了在冻融循环条件下再生混凝土的动弹性模量GM(1,1)预测模型。根据已有的试验数据,基于GM(1,1)预测模型,预测其他冻融次数下再生混凝土的动弹性模量。再根据模型预测数据,预测实际自然情况下再生混凝土的抗冻性寿命。计算分析表明,GM(1,1)的抗冻性模型的方差比C均小于0.35,小误差概率p均大于0.95。根据试验数据推导出的预测模型精度高,可用于再生混凝土抗冻性能的动弹性模量预测和分析。当再生骨料掺量为60%时,再生混凝土的抗冻性能达到最佳。从宜昌地区来看,其抗冻使用寿命可达183年。
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| 关 键 词： | 再生混凝土 灰色理论 GM(1 1)模型 动弹性模量 |
| 收稿时间： | 2018/5/17 0:00:00 |
Prediction of Frost Resistance Life of Recycled Concrete Based on Grey Theory |
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| YANG Lu,ZHOU Zhiyun,ZHANG Dingbo and WANG Lidan.Prediction of Frost Resistance Life of Recycled Concrete Based on Grey Theory[J].Journal of University of Shanghai For Science and Technology,2019,41(4):403-408. |
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| Authors: | YANG Lu ZHOU Zhiyun ZHANG Dingbo and WANG Lidan |
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| Institution: | School of Environment and Architecture, University of Shanghai for Science and Technology, Shanghai 200093, China,School of Environment and Architecture, University of Shanghai for Science and Technology, Shanghai 200093, China,School of Environment and Architecture, University of Shanghai for Science and Technology, Shanghai 200093, China and School of Environment and Architecture, University of Shanghai for Science and Technology, Shanghai 200093, China |
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| Abstract: | By using grey theory, the prediction model of dynamic elastic modulus GM(1,1) of recycled concrete under freeze-thaw cycles was established. Based on the existing experimental data and GM(1,1) prediction model, the dynamic elastic modulus of recycled concrete under other freezing-thawing cycles was predicted. Then, according to life adjustment formula proposed by Vesikari1], the frost-resistant life of recycled concrete under real natural conditions was predicted. Through calculation and analysis, the results show that the variance ratio of GM(1,1) of the frost resistance model is less than 0.35, and the probability of small error is more than 0.95. With high accuracy, it can be used to predict and analyze the dynamic modulus of elasticity of the frost resistance of recycled concrete. When the content of recycled aggregate is 60%, the frost resistance of recycled concrete reaches the best. For Yichang area, its anti-freezing service life can reach up to 183 years. |
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| Keywords: | recycled concrete grey theory GM(1 1)model dynamic elastic modulus |
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