Subspace based identification of structural parameters of the base isolation level

Document Type : Research Article

Authors

1 Assistant Professor of Structural Engineering. Department of Civil Engineering, University of Kurdistan

2 Department of Civil Engineering, University of Kurdistan, Sanandaj, Iran

3 Department of Civil Engineering, University of Kurdistan

Abstract

One of the common methods in controlling the seismic response of structures is the use of seismic isolators. Base isolations reduce the base shear as well as the relative displacement of the floors by increasing the period of the structure. Typically, extreme deformation of the base isolation level occurs due to severe environmental factors, which can lead to damage to the base isolations; As a result, there is a possibility of permanent deformation in the base isolation and also the collision of the structure with adjacent buildings. Therefore, to prevent damage to buildings equipped with base isolations due to severe ground motions, it is important to identify damage at the base isolations. In this study, assuming the linear behavior of the main structure, a proposed subspace-based method for identifying the stiffness of the base isolation with a limited number of sensors is presented. For this purpose, using the compression technique, the structure equipped with a separator with a large number of degrees of freedom (DOFs) is transformed into a two DOF structure; So that the stiffness associated with the first DOF in the reduced system corresponds to the stiffness of the Base isolation level in the original structure. Then, using the identified Markov parameters of the system, the reduced structural stiffness is identified. Numerical examples are used to evaluate and compare the performance of the proposed method. The results show that even in the presence of noises in the measured responses, the proposed method detects the amount of damage at the base isolation level with acceptable accuracy.

Keywords

Main Subjects

References

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Amirkabir Journal of Civil Engineering
Volume 53, Issue 12
March 2022
Pages 5307-5324

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