A structural FRF model validation method based on niching genetic algorithm

A structural dynamic model validation method based on the dynamic niching was presented to give an accurate validation outcome with niche evolution. The signature assurance criterion (SAC) and crossing signature scale factor (CSSF) were used to combine natural frequencies under constraint conditions of frequency response tests. Then, the model's output features were taken as output responses for model validation to reduce the number of the output features and use all test data of frequency response analysis. The distance discrimination analysis (DDA) was used to quantify the fitness of each individual in the niche. The objective of model validation was achieved with an iterative test-analysis correlation (TAC) procedure and the niche mirror evolution. Simulation results showed that the presented method and using SAC and CSSF as the outputs of dynamic response can get satisfactory results in the model validation of structural dynamics.