Abstract
Damage Detection for Civil Structural Health Monitoring Application - A Case Study of the Steel Grid Bridge Structural Model
Highlights
Presence of damage in the structure may reduce its performance by decreasing the service life or even progress to cause a catastrophic failure [1]
The present study proposes the application of two procedures, the first one includes only natural frequencies for model calibrations and the other one includes both mode frequencies and mode shapes for damage detection, using Simulated Annealing (SA) and Tabu Search (TS) heuristic optimization techniques
Ambient vibration measurements were carried out for two states of the model, with and without additional mass, in order to cover wider frequency range which exists in the case of real structures
Summary
Presence of damage in the structure may reduce its performance by decreasing the service life or even progress to cause a catastrophic failure [1]. In many damage detection procedures, optimization technique has to be adopted as the main part with adequate sensitive objective function to reflect changes of the included assumed parameters. Zoran MIŠKOVIĆ et al.: Damage Detection for Structural Health Monitoring Application - A Case Study of the Steel Grid Bridge Structural Model minima in the search space and their quick convergence performances [8, 9], heuristic optimization techniques are suitable for such complex and hard problems. The present study proposes the application of two procedures, the first one includes only natural frequencies for model calibrations and the other one includes both mode frequencies and mode shapes for damage detection, using SA and TS heuristic optimization techniques. Based on the sensitivity of modal properties, two different forms of objective function for the application of SA and TS optimization techniques were implemented during the testing phase [10, 11]
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