再生混凝土收缩徐变试验及徐变神经网络预测
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国家自然科学基金资助项目(51178340);教育部新世纪优秀人才支持计划项目(NCET 06 0383)


Shrinkage and Creep of Recycled Aggregate Concrete and Their Prediction by ANN Method
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    摘要:

    试验研究了不同再生粗骨料取代率下再生混凝土的收缩与徐变规律.结果表明:龄期120d时,粗骨料取代率为50%,100%的再生混凝土RAC50,RAC100的收缩总变形值较普通混凝土分别增加17%,59%;徐变持荷90d时,再生混凝土RAC50,RAC100的徐变变形值较普通混凝土分别增加12%,76%.将徐变试验数据与RILEM B3,ACI 209R 92,CEB FIP(90)等徐变预测模型进行对比,并结合试验结果对RILEM B3模型进行了修正.采用BP神经网络方法对再生混凝土徐变进行了预测,考察了再生粗骨料取代率、水灰比等对再生混凝土徐变的影响.

    Abstract:

    Experimental study on shrinkage and creep of recycled aggregate concrete(RAC) with different recycled coarse aggregate(RCA) replacement percentages was carried out. The test results show that the shrinkages of RACs with a 50% and 100% replacement percentage of the RCA increase 17% and 59%, respectively, while the creeps increase 12% and 76%, respectively, compared to that of normal concrete(NC). The test results of creep were compared with the creep predicted by the models of RILEM B3, ACI 209R 92, CEB FIP (90), and RILEM B3 model was modified accordingly. The creep of RAC was predicted by the artificial neural network(ANN) method and the influence of RCA replacement percentage as well as the water cement ratio on the creep of RAC was checked according to the prediction model.

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肖建庄,许向东,范玉辉.再生混凝土收缩徐变试验及徐变神经网络预测[J].建筑材料学报,2013,(5):752-757

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  • 收稿日期:2012-03-08
  • 最后修改日期:2012-06-07
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  • 在线发布日期: 2013-10-30
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