An efficient inverse analysis considering observation error to detect corrosion in concrete structures containing multilayered rebar

The present paper proposes an efficient inverse analysis to detect corrosion in concrete structures including multilayered rebar using the observation accuracy as prior information. The proposed method can efficiently detect the corrosion profile, including factors such as the number, shape, and location of multiple corroded areas from a potential distribution on a concrete surface using the boundary element method and a genetic algorithm. The detectable are of rebar corrosion is estimated for each rebar layer. The estimation can effectively limit a solution space to detect corrosion. Numerical simulations are performed in order to demonstrate the validity and efficiency of the proposed method.