Abstract
Owing to the development of construction technology, structures are becoming increasingly taller. Furthermore, with the improvement in construction materials, the service life of the structures is also increasing. The increased service life of large structures has highlighted the importance of structure maintenance and performance evaluation; thus, the need for an accurate model development for performance evaluation is increasing. This study predicts the structural characteristics through finite element (FE) model updating using a genetic algorithm (GA). The GA was applied to determine whether the structural member was damaged. In particular, it is intended to improve the reliability of the FE model updating during a seismic load by considering the soil-structure interaction effect that has been overlooked in the existing model updating study. The results of this study show that the model that considers the soil-structure interaction can estimate the dynamic characteristics of the structure more accurately compared to the model that does not consider the soil-structure interaction. The accuracy of the updated parameters by the proposed method was found to be over 90%.
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