Abstract
Different retrofitting techniques are commonly used to sustain the design life of heavy damage and deteriorated concrete structures, whilst epoxy-bonded carbon fiber reinforced polymer (CFRP) has emerged as a widely known retrofitting method. Consequently, a sound understanding of the bond strength between structural lightweight concrete (LWC) and CFRP based on influential factors is essential in safety and economic requirements. In this study, a hybrid bond strength model using the artificial neural network (ANN) and genetic algorithm (GA) was developed to furtherly understand the bond of a CFRP strengthened LWC structure. ANN was able to establish under satisfactory performance the relationship between the maximum bond load and the following influential parameters: width of CFRP (bfrp), total CFRP bond length (Lfrp), CFRP thickness (tfrp), and CFRP angle of orientation (θfrp). Furthermore, GA was able to derive the optimal configuration of the influential parameters resulted in high bond performance. Moreover, the optimization results also validated the sensitivity of each parameter on the interfacial bond behavior between LWC and CFRP.
Highlights
Rapid deterioration, excessive seismic damage, and outdated design codes and provisions of concrete infrastructure become the principal challenges of all nations worldwide
Less attention is given in the investigation of bond performance between lightweight concrete (LWC) and carbon fiber reinforced polymer (CFRP) [9]. This present study aimed to model the underlying behavior of the bond strength performance between LWC and CFRP using a hybrid artificial intelligence (AI) model wherein recent studies [25,26,27,28] show its promising application in the field of civil engineering and construction materials
The neural network for the maximum bond load between LWC and CFRP was developed using the simplest and widely used artificial neural network (ANN) model known as the feedforward multilayered supervised neural network with error back-propagation algorithm
Summary
Excessive seismic damage, and outdated design codes and provisions of concrete infrastructure become the principal challenges of all nations worldwide. In response to these challenges, repair and strengthening of existing concrete structures became the solutions in order to still meet the required ultimate load carrying capacity and serviceability. Carbon fiber reinforced polymer (CFRP) has emerged as one of the notable accepted retrofitting materials of the civil engineering community in recent years [1]. Several studies account the success of CFRP as reinforcement in a wide variety of applications for different materials such as aluminum [2, 3], steel [4, 5], and concrete [6,7,8]. CFRP has very advantageous mechanical properties of high specific strength and high specific stiffness compare to other strengthening materials [12]
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