Structural Dynamic Model Updating And Damage Identification Based On The Improved Pso Algorithm

In the design of large engineering structures requires dynamic finite element analysis, but none can fully reflect the true structure, if you direct use the static structural model, not only a waste of computing workload and computational efficiency, but also to introduce a lot of unnecessary local mode, affect the subsequent response analysis. Using the measurement of structural vibration information updating the structure dynamic model, making the modified modal parameters of the model in line with the measured value is a more effective method of structural model updating. This method is introduced to solve the damage detection of structures now, and achieved very good results.This thesis combined the chaology and Particle Swarm Optimization, then get the Improved Particle Swarm Optimization. Through optimizing benchmark functions, whether in the iterative calculation efficiency or on convergence is superior to the particle swarm optimization algorithm.This thesis put forward the model correction methods basing on the improved particle swarm algorithm,. Using the measured data of existing Humen bridge as the research object, finitng the element model, the model results error of modal parameters is better than used modal parameter, The improved particle swarm algorithm is applied to the correction model.This thesis also put forward the structural damage detection method based on improved particle swarm algorithm,. The damage for minor damage cantilever plate identification show that the improved particle swarm optimization algorithm for single damage and more damage identification results are satisfactory.