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玻璃纤维再生混凝土冻融损伤及寿命预测研究

Study on freeze⁃thaw damage and life prediction of glass fiber recycled concrete
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摘要 采用GM(1,1)模型的4种形式建立了玻璃纤维再生混凝土抗冻性能预测模型,预测了玻璃纤维再生混凝土在各地区的抗冻使用寿命。引入相关系数对比和分析了各形式模型的精度和长期预测结果,并与Weibull预测模型进行了比较。结果表明,玻璃纤维再生混凝土的质量和相对动弹性模量的衰减速率随着冻融循环的进行而逐渐加快,掺入玻璃纤维可以有效减缓质量和相对动态弹性模量衰减速率,延缓再生混凝土失效。4种形式的GM(1,1)模型在玻璃纤维掺量为0~1.0%时预测精度均为Ⅰ级,掺量为1.5%时预测精度均为Ⅱ级。DGM模型精度最高,相关系数最大,建议采用DGM模型进行抗冻性能预测。从寿命预测方面考虑,DGM、Weibull模型的预测结果基本相似,但两种模型侧重点不同,DGM模型所需样本容量较小,Weibull模型寿命预测更精准。 Four forms of GM(1,1)model were used to establish the prediction model of frost resistance of glass fiber recycled concrete.The frost service life of glass fiber recycled concrete in various regions was predicted.The correlation coefficient was introduced to compare and analyze the accuracy and long⁃term prediction results of each form of model,and compared with the Weibull prediction model.The results show that the attenuation rate of mass and relative dynamic elastic modulus of glass fiber recycled concrete gradually increases with the freeze⁃thaw cycle.The incorporation of glass fiber can effectively slow down the attenuation rate of mass and relative dynamic elastic modulus and delay the failure of recycled concrete.The prediction accuracy of the four forms of GM(1,1)models is grade I when the glass fiber content is 0~1.0%,and the prediction accuracy is grade II when the content is 1.5%.The DGM model had the highest accuracy and the largest correlation coefficients.It is recommended to use DGM model to predict the frost resistance.Considering the life prediction aspect,the prediction results of DGM model and Weibull model are basically similar,but the two models have different focuses.DGM model requires a smaller sample capacity and the Weibull model has a more accurate life prediction.
作者 黄跃文 杨文瑞 刘利爱 周海 张勋 李成炜 熊小龙 HUANG Yuewen;YANG Wenrui;LIU Liai;ZHOU Hai;ZHANG Xun;LI Chengwei;XIONG Xiaolong(School of Civil and Architectural Engineering,East China University of Technology,Nanchang 330013,China)
出处 《建筑结构》 北大核心 2024年第18期136-143,共8页 Building Structure
基金 国家自然科学基金(51178361) 江西省自然科学基金(20181BAB216027) 江西省教育厅科技项目(GJJ170486) 江西省交通运输厅科技项目(2017C0002)。
关键词 玻璃纤维 再生混凝土 冻融损伤 寿命预测 glass fiber recycled concrete freeze⁃thaw damage life prediction
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