再生混凝土坍落度自适应模糊推理模型

摘要

坍落度是反映混凝土和易性的一个重要的指标，利用自适应模糊推理系统，建立了再生混凝土的坍落度预测模型。该模型输入层为再生混凝土的配合比数据，输出层为再生混凝土坍落度数据。采用建立的ANFIS模型对试验结果进行预测时，先对再生混凝土输入数据进行标准化处理，同时对预测结果与试验结果相比较。结果表明：所建立的再生混凝土的坍落度的ANFIS模型的预测精度高达97%以上；采用自适应模糊推理系统可以实现再生混凝土坍落度的准确预测，为再生混凝土的研究提供了一种新的方法。%Slump is an important indicator of the workability of concrete.A predictive model of recycled concrete slump is established by using adaptive fuzzy inference system.The inputting layer was the mix proportions of recycled concrete;the outputting layer was the re-cycled concrete slump.The model turned the inputting data into standardized data before predicting the results of the test by ANFIS ,While the predicted results were compared with experimental results,the results showed the prediction accuracy of recycled concrete slump is up to 97%by ANFIS model.Adaptive fuzzy inference system can achieve the accurate prediction for recycled concrete slump and it can pro-vide a new method to the study of recycled concrete slump.