Structural modal identification has become increasingly important in health monitoring, fault diagnosis, vibration control, and\ndynamic analysis of engineering structures in recent years. Based on an analysis of traditional optimization algorithms, this paper\nproposes a novel sensor optimization criterion that combines the effective independence (EFI) method with the modal strain energy\n(MSE) method. Considering the complex structure and enormous degrees of freedom (DOFs) of modern concrete arch dam,\na quantum genetic algorithm (QGA) is used to optimize the corresponding sensor network on the upstream surface of a dam.\nFinally, this study uses a specific concrete arch damas an example and determines the optimal sensor placement using the proposed\nmethod. By comparing the results with the traditional optimization methods, the proposed method is shown to maximize the spatial\nintersection angle among the modal vectors of sensor network and can effectively resist ambient perturbations, which will make\nthe identified modal parameters more precise.
Loading....