短切玄武岩纤维混凝土力学性能试验与分析

发布时间：2018-11-22 18:21

【摘要】：为了研究短切玄武岩纤维掺量变化对混凝土基本力学性能的影响,对6种不同体积掺量的短切玄武岩纤维混凝土(BFRC)分别进行立方体抗压、轴心抗压、劈裂抗拉、抗折试验;基于试验结果,通过BP(Back Propagation)神经网路强度预测模型的构建,对附加纤维掺量的混凝土进行强度训练及预测。试验实测数据表明:掺入短切玄武岩纤维对混凝土早期抗压强度的发展有着延缓作用;当纤维掺量为0.1%时,抗压强度达到峰值。随着纤维掺量的增加,劈拉强度增幅较大,抗折强度保持上升趋势。通过BP神经网络的训练及发展趋势预测,结果表明:当纤维体积掺量为0.1%时,抗压强度达到最大值;劈拉强度与抗折强度则随着纤维掺量的增加而持续增大。基于试验数据及预测结果,得出短切玄武岩纤维的最佳体积掺量。
[Abstract]:In order to study the influence of short cut basalt fiber content on the basic mechanical properties of concrete, six kinds of short cut basalt fiber reinforced concrete (BFRC) with different volume content were tested by cube compression, axial compression, splitting tensile and flexural tests respectively. Based on the experimental results, the strength training and prediction of concrete with additional fiber content are carried out through the construction of BP (Back Propagation) neural network strength prediction model. The experimental data show that the early compressive strength of concrete is delayed by the addition of short cut basalt fiber, and the compressive strength reaches the peak when the fiber content is 0.1. With the increase of fiber content, the splitting tensile strength increases greatly, and the flexural strength increases. Through the training and development trend prediction of BP neural network, the results show that the compressive strength reaches the maximum when the fiber volume content is 0.1, and the splitting strength and flexural strength increase with the increase of fiber content. Based on the experimental data and prediction results, the optimum volume content of short cut basalt fiber is obtained.
【作者单位】：东北林业大学土木工程学院;
【基金】：哈尔滨市科技局科技创新人才专项资金项目(RC2012XK012007) 黑龙江省科技攻关计划项目(GZ11A506)
【分类号】：TU528.572

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