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Performance and modeling of high-performance steel fiber reinforced concrete under impact loads

机译:高性能钢纤维增强混凝土在冲击载荷下的性能与建模

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摘要

Impact performance of high-performance concrete (HPC) and SFRC at 28-day and 56-day under the action of repeated dynamic loading was studied. Silica fume replacement at 10% and 15% by mass and crimped steel fiber (V_f= 0.5%- 1.5%) with aspect ratios of 80 and 53 were used in the concrete mixes. Results indicated that addition of fibers in HPC can effectively restrain the initiation and propagation of cracks under stress, and enhance the impact strengths and toughness of HPC. Variation of fiber aspect ratio has minor effect on improvement in impact strength. Based on the experimental data, failure resistance prediction models were developed with correlation coefficient (R) = 0.96 and the estimated absolute variation is 1.82% and on validation, the integral absolute error (IAE) determined is 10.49%. On analyzing the data collected, linear relationship for the prediction of failure resistance with R= 0.99 was obtained. IAE value of 10.26% for the model indicates better the reliability of model. Multiple linear regression model was developed to predict the ultimate failure resistance with multiple R= 0.96 and absolute variation obtained is 4.9%.
机译:研究了高性能混凝土(HPC)和SFRC在反复动态载荷作用下的28天和56天的冲击性能。在混凝土混合物中使用了质量分数为10%和15%的硅粉替代品和纵横比为80和53的卷曲钢纤维(V_f = 0.5%-1.5%)。结果表明,在HPC中添加纤维可以有效地抑制应力作用下裂纹的产生和扩展,并提高HPC的冲击强度和韧性。纤维纵横比的变化对冲击强度的改善影响很小。根据实验数据,建立了相关系数(R)= 0.96的抗故障预测模型,估计的绝对偏差为1.82%,经验证,确定的积分绝对误差(IAE)为10.49%。通过对收集到的数据进行分析,得出了用于预测抗故障能力的线性关系,R = 0.99。模型的IAE值为10.26%,表明模型具有更好的可靠性。建立了多元线性回归模型以预测最终的抗破坏性,其中多个R = 0.96,并且获得的绝对偏差为4.9%。

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