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Experimental study and modeling of fiber volume effects on frost resistance of fiber reinforced concrete

机译:纤维体积对纤维增强混凝土抗冻性影响的试验研究与建模

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摘要

In the present study, the effectiveness of fiber inclusion on enhancing frost durability was experimentally examined. Polypropylene fiber of 0.2, 0.3, 0.4, and 0.5% and steel fiber of 0.2, 0.4, 0.6, 0.8, and 1.0% by volume fraction were used. Additionally, reference and air-entrained specimens (with 5% air content) were prepared to compare the results. The water/cement ratio for all concrete mixtures was 0.465. The compressive and tensile strengths, and longitudinal strains of frost-exposed specimens were measured. The results showed that both fibers improved the frost resistance of concrete, and 1% steel fiber inclusion caused the samples to be safe against freeze-thaw cycles as well as air entraining. Minimum fiber volumes of 0.4 and 0.5% were required for frost resistance in the steel and polypropylene fiber specimens, respectively. The results were also numerically examined using an artificial neural network (ANN). Data analysis showed that the ANN was capable of generalizing between input and output variables with reasonably fine predictions.
机译:在本研究中,通过实验检查了纤维夹杂物对增强霜冻耐久性的有效性。使用体积分数为0.2、0.3、0.4和0.5%的聚丙烯纤维和0.2、0.4、0.6、0.8和1.0%的钢纤维。此外,还准备了参比样品和加气样品(空气含量为5%)以比较结果。所有混凝土混合物的水灰比为0.465。测量了霜冻样本的抗压强度和拉伸强度以及纵向应变。结果表明,两种纤维均能改善混凝土的抗冻性,并且1%的钢纤维夹杂物可以使样品抵抗冻融循环和夹带空气。钢和聚丙烯纤维样品的抗冻性分别要求最小纤维体积为0.4%和0.5%。还使用人工神经网络(ANN)对结果进行了数值检查。数据分析表明,人工神经网络能够在输入和输出变量之间进行合理的精细预测。

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