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Experimental and numerical investigation of the properties of the Hot Mix Asphalt Concrete with basalt and glass fiber

机译:玄武岩和玻璃纤维热拌沥青混凝土性能的试验和数值研究

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Abstract. In the recent decades, different kinds of fiber materials are used for improving the asphalt mixture performance. Meanwhile, different kinds of fiber are used excessively due to their desirable physical and chemical properties and their easier application. The main purpose of this research is to evaluate the characteristics of the asphalt mixture while using basalt fiber and glass fiber. In order to provide asphalt samples, these two types of fibers are used in different percentages. In this way, 42 samples (with different percentages of fiber and bitumen) were made using Marshal Hammer. In the next step, while constructing 63 asphalt samples using a gyratory device, then mix asphalt conventional tests include the determination of indirect tensile strength, moisture sensitivity test, and resilient modulus and creep tests performed. The results of this research indicate that using these two types of fibers increased the percentage of optimum bitumen and marshal resistance. At best, adding 0.1% glass fiber resulted in 13% increase in marshal resistance. Ultimately, ANFIS method was employed to predict the result of the experimental test and the possibility of using neural network method have been evaluated to predict the laboratory result.
机译:抽象。在最近的几十年中,使用各种纤维材料来改善沥青混合料的性能。同时,由于期望的物理和化学性质以及它们的易于使用,不同种类的纤维被过度使用。这项研究的主要目的是评估使用玄武岩纤维和玻璃纤维时沥青混合料的特性。为了提供沥青样品,这两种类型的纤维以不同的百分比使用。通过这种方式,使用元帅锤制作了42个样品(纤维和沥青的百分比不同)。下一步,在使用旋转设备建造63个沥青样品的同时,混合沥青的常规测试包括间接拉伸强度的测定,湿度敏感性测试,弹性模量和蠕变测试。这项研究的结果表明,使用这两种类型的纤维增加了最佳沥青和耐盐性的百分比。最好的情况是,添加0.1%的玻璃纤维可使抗海潮性能提高13%。最终,采用ANFIS方法来预测实验测试的结果,并评估了使用神经网络方法来预测实验室结果的可能性。

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