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纤维再生粗骨料混凝土冻融损伤及寿命预测

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通过在PVA纤维混凝土中掺入再生粗骨料,研究不同再生粗骨料替代率对混凝土力学及抗冻性能的影响,并对混凝土的抗冻性能进行灰色系统理论分析.结果表明:随着再生粗骨料替代率的增加,混凝土的抗压及劈拉强度呈现先减小后增加再减小的变化趋势,拉压比大致呈现先减小后增加的变化趋势.使用Design-Expert软件对混凝土冻融损伤模型拟合参数a及b与再生粗骨料替代率之间的关系进行线性拟合,发现两者之间存在较好的相关性.基于灰色系统理论GM(1,1)模型对混凝土的相对动弹性模量进行灰色系统理论分析,结果显示R0和R30模型精度评为Ⅱ级,其他组评为Ⅰ级;无论再生粗骨料替代率如何,DGM的精度最大,ODGM的精度最小;当再生粗骨料替代率大于50%后,再生粗骨料替代率对混凝土抗冻耐久性寿命影响较小.
Freeze-thaw damage and life prediction of fiber recycled coarse aggregate concrete
By adding recycled coarse aggregate into PVA fiber concrete,the effects of different recycled coarse aggregate replacement rates on concrete mechanics and frost resistance were studied,and the frost resistance of concrete was predicted.The results show that with the increase of the replacement rate of recycled coarse aggregate,the compressive strength and splitting tensile strength of concrete show a trend of first decreasing,then increasing,and then decreasing,and the tension-compression ratio roughly shows a trend of first decreasing and then increasing.The relationship between the fitting parameters a and b of the concrete freeze-thaw damage model and the replacement rate of recycled coarse aggregate was linearly fitted using the Design-Expert software,and it was found that there was a good correlation between the two.Based on the gray system theory GM(1,1)model,the relative dynamic elastic modulus of concrete is analyzed by gray system theory.The results show that the accuracy of R0 and R30 models is rated as class II,and the other groups are rated as class I;regardless of the recycled coarse aggregate No matter what the replacement rate is,the accuracy of DGM is the largest,and the accuracy of ODGM is the smallest;when the replacement rate of recycled coarse aggregate is greater than 50%,the replacement rate of recycled coarse aggregate has little effect on the frost resistance durability of concrete.

recycled coarse aggregateresponse surfacegrey system theoryGM(1,1)modellife prediction

郑传磊、李淑翔、孙呈凯、金宝宏

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宁夏大学土木与水利工程学院,宁夏银川 750021

中建八局第二建设有限公司,山东济南 250014

再生粗骨料 响应曲面 灰色系统理论 GM(1,1)模型 寿命预测

国家自然科学基金

51968060

2024

中国测试
中国测试技术研究院

中国测试

CSTPCD北大核心
影响因子:0.446
ISSN:1674-5124
年,卷(期):2024.50(3)
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