A fuzzy logic approach to predict seismic ductility and shear strength of reinforced concrete elements

摘要

Structures require ductility to withstand severe earthquake-induced loads and remain standing. A new method for modelling seismic displacement ductility is proposed here, in which a fuzzy inference system is utilized to include the uncertainty in the parameters that influence this behaviour. The proposed model is also used to determine the lateral shear strength, a vital parameter in seismic design. Experimental data are presented for beams subjected to cyclic loading. Numerous input design parameters were considered including the beam width/depth ratio, the longitudinal reinforcement ratio,the bottom/top reinforcement ratio, the concrete compressive strength, the transverse reinforcement strength, and the shear span-to-depth ratio. Output parameters included the displacement ductility and lateral shear strength. The proposed model can predict the outputs successfully with an error of ±20%, but is more effective in predicting shear strength than displacement ductility.