Structural damage detection and identification using fuzzy logic

Although improved design methodologies have significantly enhanced the reliability and safety of structures in recent years, it is still not possible to build structures that are infallible. There is an increasing interest in the development of smart structures with built-in fault detection systems that would provide damage and/or failure warnings. A general methodology is presented for structural fault detection using fuzzy logic. The methodology is based on monitoring the static, eigenvalue, and dynamic responses to determine the health status of a structure or machine. Fuzzy logic coupled with principles of continuum damage mechanics is used to identify the location and extent of the damage. The proposed methodology represents a unique approach to damage detection that can be applied to a variety of structures used in civil engineering and machine and aerospace applications.