Structural system identification considering the noise of system response using the optimization strategy

Abstract

In this paper, the optimization strategy of structural system identification is proposed considering the noise of system responses. In the formulated optimization problem for the system identification, a huge amount of computational resources and time are required to identify the large scale structural system due to the increased design variables in proportion to the number of elements. Moreover, added design variables are necessary to consider the noise of system response obtained from experimental observations. Owing to the many design variables presenting the noise and the large area without structural change, the convergence of solution is deteriorated. In order to overcome these issues, we devise the optimization strategy that selects the significant design variables and reduces the number of design variables. The proposed method reduce required computational resources and calculation time and improve the solution convergence through the discarding the design variables that disturb the solution convergence. The efficiency of the proposed method is verified through numerical examples with pre- assumed noise.