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Mechanical Property Tests and Strength Formulas of Basalt Fiber Reinforced Recycled Aggregate Concrete

机译:玄武岩纤维再生骨料混凝土力学性能测试及强度公式

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摘要

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.
机译: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,首先测试了一些RAC样品组,其中涉及不同类型的纤维,例如碳纤维,钢纤维,聚丙烯纤维和混合纤维。研究的主要四个指标包括立方形抗压强度,轴向抗压强度,劈裂抗拉强度和杨氏模量。还讨论了纤维体积分数对RAC塌陷的影响。同时,将高炉增强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,针对不同的机械性能探索了高炉的最佳体积分数。进一步将反向传播神经网络应用于预测和验证最佳BF分数。最后,根据试件测试结果推导了高炉增强RAC的一般强度公式以及弹性模量公式。发现添加纤维可以改善RAC的失效模式,并且不同的纤维对机械性能具有正面或负面影响。相对于四个机械指标,BF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可为测试结果提供令人满意的预测,因此可在实践中用作参考。

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