Performance Evaluation of CFRP Reinforced Concrete Members Utilizing Fuzzy Technique

Abstract

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. which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

A Hybrid Particle Swarm Optimization with Dragonfly for Adaptive ANFIS to Model the Corrosion Rate in Concrete Structures

“…In the recent decade, soft computing has become one of the most well-known intelligence techniques due to the lower cost and time consumption in different engineering sciences (Cai et al, 2019;Chung et al, 2018;Heo et al, 2018;Ryu et al, 2020;Shafaei and Khayati, 2020). Combining fuzzy logic with neural networks presents adaptive network-based fuzzy inference systems (ANFIS) to determine the superlative relationship among the input and output parameters in various processes.…”

Experimental Seismic Structural Performance Evaluations of RC Columns Strengthened by Stiff-Type Polyurea

“…Currently, FRP wrapping method is considered to be the most cost-effective and simple way to improve the load-carrying capacity, ductility, and shear strength of deteriorated concrete members (Almusallam et al, 2018;Bonacci & Maalej, 2001;Chung et al, 2018;Kim et al, 2013;Lu et al, 2005;Truong et al, 2017;Youm et al, 2006). The FRP surface wrapping method gives confinement effect and stiffness enhancement to resist seismic loading.…”

Interfacial bond-slip relationship between Carbon Fiber Reinforced Polymer Plate and Concrete after High Temperature of Asphalt Paving Construction

“…Due to the excellent material properties of Carbon Fiber Reinforced Polymer (CFRP), this material has been widely applied in the reinforcement of bridge structures (Siddika et al, 2019;Zhuang et al, 2018;Bocciarelli et al, 2018;Lepretre et al, 2018;Chataigner et al, 2018). Many scholars have carried out many investigations on the mechanical properties and failure mode of CFRP reinforced beams (Hawileh et al, 2014;Gallego et al, 2017;Chung et al, 2018). Studies have shown that the failure modes of CFRP-reinforced structures are often manifested as various types of debonding failure of CFRP-concrete interface (Zhang et al, 2017;Zeng et al, 2018;Rukavina et al, 2019).…”