This paper investigates the effectiveness of four different soft computing methods, namely radial basis neural network (RBNN), adaptive neuro fuzzy inference system (ANFIS) with subtractive clustering (ANFIS-SC), ANFIS with fuzzy c-means clustering (ANFIS-FCM) and M5 model tree (M5Tree), for predicting the ultimate strength and strain of concrete cylinders confined with fiber-reinforced polymer...

The performance of the interface between fiber reinforced polymer (FRP) composites and concrete is one of the key factors affecting the behavior of strengthened reinforced concrete (RC) structures. Existing laboratory research has shown that RC beams strengthened with FRP sheets usually fail because of either debonding of the impregnated fabric from the concrete substrate or fracture of the FRP...

Abstract Polymer concrete is produced by mixing a variety of mineral fillers with synthetic or natural resin binding agent which versatile, durable and composite material. The polymer that we made consists cement, coarse aggregate, fine water, resin. used Master EmacoSBR2. It styrene butadience copolymer latex liquid, milky white, from high pressure emulsion polymerization dispresive properties...

The concept of an integrated strengthening and damping retrofit system was proposed to design reinforced concrete (RC) columns for their optimal performance under multi-level earthquake hazards. As illustrated in Figure 1, the system consisted of fiber reinforced polymer (FRP) sheets wrapping around a column and viscoelastic (VE) layers on the FRP sheets. The motion of the outer surface of the ...