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首页> 外文期刊>Journal of Soft Computing in Civil Engineering >GMDH-Network to Estimate the Punching Capacity of FRP-RC Slabs
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GMDH-Network to Estimate the Punching Capacity of FRP-RC Slabs

机译:GMDH网络估算FRP-RC板的冲孔能力

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Determination of the punching shear capacity of FRP-reinforced concrete slabs was studied in this paper. A database including 81 pairs of data was collected and used. The method was considered in the paper, was group method of data handling (GMDH) which is one of the most structures which is used by researchers. The section area of column, effective flexural depth of slab, compressive strength of concrete, Young’s modulus of the FRP slab and reinforcement ratio were used as input variables. The target of the model was also determination of the ultimate punching capacity of the FRP-reinforced concrete flat slab (Target). Based on this dataset, ten polynomials specified and its coefficients was presented. All of these ten polynomials used for the considered prediction. The proposed GMDH structure also validate by several experimental data. The results indicated that group method of data handling (GMDH) is very useful for the prediction of the punching shear capacity of slabs.
机译:研究了玻璃纤维增​​强混凝土板冲切抗剪承载力的确定方法。收集并使用了包含81对数据的数据库。本文中考虑的方法是数据处理的分组方法(GMDH),这是研究人员使用最多的结构之一。输入柱的截面积,板的有效弯曲深度,混凝土的抗压强度,FRP板的杨氏模量和配筋率均用作输入变量。该模型的目标还在于确定FRP增强混凝土平板的最终冲压能力(目标)。基于该数据集,指定了十个多项式及其系数。所有这十个多项式都用于考虑的预测。所提出的GMDH结构也得到了一些实验数据的验证。结果表明,数据处理的分组方法(GMDH)对于预测板坯的冲切剪切能力非常有用。

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