Structural model updating was evolved into a multidisciplinary research subject, and the problem is solved in the framework of optimization. Particle swarm optimization (PSO) algorithm is applied, which is proposed by some mechanisms in sociology, psychology and ecology and has distinguished global search capability and does not need explicit expression of objective functions. For a real steel structure, some model updating experiments are carried out by using partial and complete experimentally measured modal data, respectively. The updated results are compared with those of some methods based on sensitivity analysis, neural network, and genetic algorithm. Precision of model updating is measured by the similarity between experimentally measured modal data and predicted modal data with updated models. Comparisons indicate that the model updating method gives the best results in most cases, so updating structure model with PSO is valid.
Journal of Vibration Engineering