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首页> 外文期刊>Magazine of Concrete Research >Prediction of shear strength of FRP-reinforced concrete members using a rule-based method
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Prediction of shear strength of FRP-reinforced concrete members using a rule-based method

机译：基于规则的方法预测FRP增强混凝土构件的抗剪强度

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Due to sudden and brittle shear failure of concrete members reinforced with fibre-reinforced polymer (FRP), shear design of these members is necessary. Various design equations have been developed to determine the shear strength with and without stirrup members. However, there is still no clear expression to predict the shear strength of FRP-reinforced concrete and the available design formulas have limited accuracy. Recently, soft computing methods such as artificial neural networks have been used for predicting the shear strength of FRP-reinforced concrete elements. However, these methods do not give enough insight into the generated models and are not as easy to use as the empirical formulas. In this study, new formulas based on M5' and multivariate adaptive regression splines (MARS) model tree approaches for the prediction of shear strength are presented. In order to develop new models, a comprehensive database containing 176 and 112 test data for members with and without stirrups, respectively, is used. It is shown that the proposed models are compact, simple and physically sound. The most important parameters are specified based on sensitivity analysis, which is calculated using the MARS algorithm. Comparison between the developed and shear design formulas showed that the developed models are more accurate than existing equations.
机译：由于用纤维增强聚合物（FRP）增强的混凝土构件的突然脆性剪切破坏，因此这些构件的剪切设计是必要的。已经开发出各种设计方程式来确定具有和不具有箍筋构件的剪切强度。但是，仍然没有明确的表达式来预测FRP增强混凝土的抗剪强度，并且可用的设计公式具有有限的精度。最近，诸如人工神经网络之类的软计算方法已被用于预测FRP增强混凝土构件的抗剪强度。但是，这些方法对生成的模型没有足够的了解，并且不如经验公式那么容易使用。在这项研究中，提出了基于M5'和多元自适应回归样条（MARS）模型树方法预测剪切强度的新公式。为了开发新模型，使用了一个综合数据库，该数据库分别包含具有和不具有箍筋的构件的176和112个测试数据。结果表明，所提出的模型是紧凑的，简单的和物理上合理的。基于灵敏度分析指定最重要的参数，该灵敏度分析是使用MARS算法计算的。所开发的设计公式与剪切设计公式之间的比较表明，所开发的模型比现有方程更为准确。

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