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首页> 外文期刊>Journal of Composites for Construction >Design-Oriented Strength Model for FRP-Confined Concrete Members
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Design-Oriented Strength Model for FRP-Confined Concrete Members

机译：FRP约束混凝土构件的面向设计强度模型

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摘要

This study concerns assessing 20 existing models for predicting the compressive strength of concrete uniformly confined externally with composite materials. An extended database of 471 experiments on cylindrical concrete columns is utilized for the comparisons. The research classifies the experimental data in three distinguished subcategories according to the information available for the mechanical properties of the FRPs to investigate their effect on the divergences of the models. Apart from the use of the tensile strength obtained from coupon tests, the use of properties from the manufacturer data on FRP fibers can lead to minimum error of predicted strength of concrete externally wrapped or encased in FRP tubes. The study results in the proposal of an upgraded empirical model that indirectly encompasses the unique deformational characteristics of different Young's moduli of FRP sheets and tubes. The model utilizes the strong linear dependence of the product of the varying effective strain at failure of the confining material (ε_(je)) times the varying confinement effectiveness coefficient (k_1) on the Young's modulus of the reinforcing fibers (E_f). Thus, there is no need to estimate average empirical constant values for the ε_(je) or k_1, and a more rational approach comes up that further restricts errors in strength modeling. The proposed model provides a prediction with absolute average error of 8.6% for wrapped columns and 6.3% for FRP-tube encased columns.
机译：这项研究涉及评估20种现有模型，这些模型用于预测用复合材料外部均匀约束的混凝土的抗压强度。圆柱混凝土柱上471个实验的扩展数据库用于比较。该研究根据可用于FRP力学性能的信息将实验数据分为三个不同的子类别，以研究它们对模型差异的影响。除了使用通过试样试验获得的拉伸强度之外，使用制造商提供的有关FRP纤维的数据的特性还可以使外部包裹或包裹在FRP管中的混凝土的预测强度的预测误差最小。该研究结果提出了升级的经验模型的建议，该模型间接包含了FRP板和管的不同杨氏模量的独特变形特征。该模型利用了约束材料失效时变化有效应变乘积（ε_（je））乘以变化约束作用系数（k_1）对增强纤维的杨氏模量（E_f）的强线性依赖性。因此，无需估计ε_（je）或​​k_1的平均经验常数值，并且出现了一种更为合理的方法，该方法进一步限制了强度建模中的误差。所提出的模型提供了一个预测，包裹柱的绝对平均误差为8.6％，FRP管包裹柱的绝对平均误差为6.3％。

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