Benefits of Implicit Redundant Genetic Algorithms for Structural Damage Detection in Noisy Environments

A robust structural damage detection method that can handle noisy frequency response function information is discussed. The inherent unstructured nature of damage detection problems is exploited by applying an implicit redundant representation (IRR) genetic algorithm. The unbraced frame structure results obtained show that the IRR GA is less sensitive to noise than a SGA. 1 Unstructured Problem Domain of FRF-Based Damage Detection The goal of structural damage identification methods (SDIM) is to accurately assess the condition of structures. Most SDIMs assume that vibration signatures are sensitive indicators of structural integrity. In this research, FRF data was used to identify the location and severity of damage. An optimization problem was defined using an error function between the measured data and the discrete analytical model. Although the total number of structural elements typically is large, the number actually damaged is smaller. This unique situation defines an unstructur...

• Type: Conference
• Year: 2003
• Where: GECCO
• Authors: Anne M. Raich, Tamás Liszkai
• Keywords: Damage Detection, GECCO 2003, Structural Damage, Structural Damage Detection