Fuzzy Logic-Based Fault Diagnosis of Simply Supported Bridge Using Modal Frequency as Input Variable

Abstract

Fault diagnosis of bridge is critical to guarantee the safe operation of structure. A fuzzy logic-based damage detection method is proposed in this paper to identify the single and multiple damages of bridge. Modal frequency is adopted as input parameter, while the damage severity is output one. Gauss and Bell functions are used as membership functions for input and output parameters, respectively. The fuzzy rule base is established according to suitable acquisition method. Numerical simulation for a simply supported bridge is used to verify the feasibility of the proposed method. The results reveal that the established fuzzy system possesses favorable memory, inference and anti-noise abilities. Its anti-noise level is favorable. The fuzzy logic method is feasible for fault diagnosis of bridge structure with single and multiple damaged locations under noise effect.