Corrosion Analysis and Recognition Algorithms Based on CFA and FDT in Time Domain for RC Structures

To quickly and conveniently determine the corrosion status of reinforced concrete (RC) structures, the analysis and recognition algorithms are established based on complex function approximation (CFA) and fractional derivative theory (FDT), respectively. The response characteristics of universal transfer function corresponding to the step stimulus in which the dispersion and diffusion effects are simultaneously considered are analyzed in time domain. Furthermore, the feasibility of corrosion recognition algorithm based on FDT is verified numerically according to the results of CFA algorithm.