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首页> 外文期刊>Neural computing & applications >Prediction of restrained shrinkage crack widths of slag mortar composites by Takagi and Sugeno ANFIS models
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Prediction of restrained shrinkage crack widths of slag mortar composites by Takagi and Sugeno ANFIS models

机译:用Takagi和Sugeno ANFIS模型预测矿渣砂浆复合材料的收缩收缩裂缝宽度

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摘要

Shrinkage is an important parameter affecting crack development of mortars and concrete. With the occurrence of shrinkage cracks, the concrete starts to be exposed to the corrosion which significantly decreases the durability of concrete or mortars. In this study, the results of free shrinkage tests determining the length changes and ring test determination of the restrained drying shrinkage cracks are used for predicting the crack widths of granulated blast furnace slag fine aggregate mortars using adaptive-network-based fuzzy inference system (ANFIS). Subsequently, replacement ratios, drying time and free shrinkage length changes are used as inputs and crack width as output in order to predict the shrinkage cracking of these mortar types. The experimental test and the prediction results from the ANFIS model are compared with each other. It is clear that ANFIS can be employed directly in the prediction or discussion of the drying shrinkage cracks.
机译:收缩率是影响砂浆和混凝土裂缝发展的重要参数。随着收缩裂纹的出现,混凝土开始受到腐蚀,这大大降低了混凝土或砂浆的耐久性。在这项研究中,自由收缩试验的结果确定了长度变化,环试验确定了受约束的干燥收缩裂缝,使用基于自适应网络的模糊推理系统(ANFIS)预测了高炉矿渣细骨料砂浆的裂缝宽度)。随后,将替换比,干燥时间和自由收缩长度的变化用作输入,并将裂缝宽度作为输出,以预测这些砂浆类型的收缩开裂。将ANFIS模型的实验测试和预测结果相互比较。显然,可以将ANFIS直接用于干燥收缩裂纹的预测或讨论中。

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