Fang Sheng-En, Hong Hua-Shan, Zhang Pei-Hui
School of Civil Engineering, Fuzhou University, Fuzhou 350116, China.
Materials (Basel). 2018 Sep 28;11(10):1851. doi: 10.3390/ma11101851.
In order to investigate the influence of basalt fibers (BFs) on the mechanical performance of recycled aggregate concrete (RAC), some groups of RAC specimens were first tested involving different types of fibers such as carbon fibers, steel fibers, polypropylene fibers and hybrid fibers. The main four indices for the investigation consisted of cube compressive strengths, axial compressive strengths, splitting tensile strengths and Young's modulus. The effects of fiber volume fractions on the RAC slumps were also discussed. Meanwhile, the mechanical properties and failure modes of the BF-reinforced RAC were compared with those of other fiber-reinforced RAC and common concrete (CC). Subsequently the optimal volume fractions of BFs were explored for different mechanical properties within the volume fraction range of 0⁻0.2%. The back propagation neural networks were further applied to predict and validate the optimal BF fractions. Lastly, the general strength formulas, as well as the elastic modulus formula, for BF-reinforced RAC were deducted based on the specimen test results. It is found that the addition of fibers may improve the failure modes of RAC and different fibers present positive or negative effects on the mechanical properties. The optimal volume fractions of BF with respect to the four mechanical indices are 0.1%, 0.15%, 0.1% and 0.2% respectively. The proposed strength and elastic modulus formulas of BF-reinforced RAC provide satisfactory predictions with the test results and thus can be used as a reference in practice.
为了研究玄武岩纤维(BFs)对再生骨料混凝土(RAC)力学性能的影响,首先对几组RAC试件进行了测试,其中涉及不同类型的纤维,如碳纤维、钢纤维、聚丙烯纤维和混杂纤维。研究的主要四个指标包括立方体抗压强度、轴心抗压强度、劈裂抗拉强度和杨氏模量。还讨论了纤维体积分数对RAC坍落度的影响。同时,将BF增强RAC的力学性能和破坏模式与其他纤维增强RAC和普通混凝土(CC)进行了比较。随后,在0⁻0.2%的体积分数范围内,针对不同的力学性能探索了BF的最佳体积分数。进一步应用反向传播神经网络来预测和验证最佳BF分数。最后,根据试件试验结果推导了BF增强RAC的一般强度公式以及弹性模量公式。结果发现,纤维的添加可能会改善RAC的破坏模式,不同的纤维对力学性能有正面或负面影响。BF相对于四个力学指标的最佳体积分数分别为0.1%、0.15%、0.1%和0.2%。所提出的BF增强RAC的强度和弹性模量公式与试验结果具有良好的预测性,因此可在实际中作为参考。