Aging and structural deterioration under severe environments are major causes of damage in reinforced concrete (RC) structures, such as buildings and bridges. Degradations such as concrete cracks, corrosion of steel, and deformation of structural members can significantly degrade the structural performance and safety. Therefore, effective and easy-to-use methods are desired for repairing and strengthening such concrete structures. Various methods for the strengthening and rehabilitation of RC structures have been developed over the past several decades. Recently, FRP composite materials have emerged as a cost-effective alternative to conventional materials for repairing, strengthening, and retrofitting deteriorating/deficient concrete structures, by externally bonding FRP laminates to concrete structural members. The main purpose of this study is to investigate the effectiveness of the FRP retrofit for circular type concrete columns under the framework of the adaptive neuro-fuzzy inference system (ANFIS). Retrofit ratio, strength of existing concrete, thickness, number of layer, stiffness, ultimate strength of fiber, and size of specimens are used as input parameters to predict strength, strain, and stiffness of the post-yielding modulus. These proposed ANFIS models show reliable increased accuracy in predicting the constitutive properties of concrete retrofitted by FRP, compared to the constitutive models suggested by other researchers.

中文翻译：

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基于模糊技术的CFRP钢筋混凝土构件性能评价

恶劣环境下的老化和结构退化是钢筋混凝土 (RC) 结构（例如建筑物和桥梁）损坏的主要原因。混凝土裂缝、钢材腐蚀和结构构件变形等退化会显着降低结构性能和安全性。因此，需要有效且易于使用的方法来修复和加固此类混凝土结构。在过去的几十年里，已经开发了各种加固和修复钢筋混凝土结构的方法。最近，通过将 FRP 层压板外部粘合到混凝土结构构件上，FRP 复合材料已成为修复、加强和改造老化/缺陷混凝土结构的传统材料的经济高效替代品。本研究的主要目的是在自适应神经模糊推理系统 (ANFIS) 的框架下研究圆形混凝土柱 FRP 改造的有效性。改造比、现有混凝土的强度、厚度、层数、刚度、纤维极限强度和试件尺寸用作输入参数来预测屈服后模量的强度、应变和刚度。与其他研究人员建议的本构模型相比，这些提议的 ANFIS 模型在预测由 FRP 改造的混凝土的本构特性方面显示出可靠的更高的准确性。层数、刚度、纤维极限强度和试样尺寸用作输入参数来预测屈服后模量的强度、应变和刚度。与其他研究人员建议的本构模型相比，这些提议的 ANFIS 模型在预测由 FRP 改造的混凝土的本构特性方面显示出可靠的更高的准确性。层数、刚度、纤维极限强度和试样尺寸用作输入参数来预测屈服后模量的强度、应变和刚度。与其他研究人员建议的本构模型相比，这些提议的 ANFIS 模型在预测由 FRP 改造的混凝土的本构特性方面显示出可靠的更高的准确性。