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Response of low-percentage FRC slabs under impact loading: Experimental, numerical, and soft computing methods
Structures ( IF 3.9 ) Pub Date : 2020-07-16 , DOI: 10.1016/j.istruc.2020.06.005
Kambiz Daneshvar , Mohammad Javad Moradi , Morteza Amooie , Siyu Chen , Golsa Mahdavi , Mohammad Amin Hariri-Ardebili

Application of fiber reinforced concrete (FRC) has been increased in the past decade due to its enhanced structural performance. Therefore, it is important to fully characterize its static and dynamic behavior under different loading scenarios. In this paper, the effects of low-percentage steel fibers with four different fiber volume is investigated on the dynamic responses of concrete slabs. First, a series of experimental tests are conducted. Next, the results are used to validate a nonlinear finite element model under impact loading. Finally, a large dataset of numerical simulations are developed using appropriate design of experiments, and four soft computing techniques are used to predict the target responses.

The findings show that application of low-percentages fiber increases the acceleration response of the concrete slabs subjected to impact load, on the average of 102%. The slab’s stiffness increases with an increase in fiber percentage. The dominant frequency, the damping ratio, as well as the slab’s cracking pattern, and the failure modes indicate that FRC slabs are stiffer than conventional RC specimen. The numerical simulations reasonably estimate the maximum acceleration. Outcome of the predictive meta-models can be used to estimate the dynamic behavior of similar slabs with no additional experimental and numerical costs.



中文翻译:

低百分比FRC板在冲击载荷下的响应:实验,数值和软计算方法

纤维增强混凝土(FRC)的应用由于其增强的结构性能而在过去十年中得到了增加。因此,重要的是充分表征其在不同负载情况下的静态和动态行为。本文研究了四种不同纤维体积的低百分比钢纤维对混凝土板动力响应的影响。首先,进行一系列实验测试。接下来,将结果用于验证冲击载荷下的非线性有限元模型。最后,使用适当的实验设计开发了一个大型的数值模拟数据集,并使用了四种软计算技术来预测目标响应。

研究结果表明,低百分比纤维的应用平均提高了混凝土板在冲击载荷下的加速度响应,平均为102%。平板的刚度随纤维百分比的增加而增加。主导频率,阻尼比,板的开裂模式和破坏模式表明FRC板比常规RC试样更坚硬。数值模拟合理地估计了最大加速度。预测性元模型的结果可用于估计相似平板的动态行为,而无需额外的实验和数值成本。

更新日期:2020-07-16
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