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Model updating of complex structures using the combination of component mode synthesis and Kriging predictor
Yang Liu1, Yan Li2, Dejun Wang2
1School of Transportation Science and Engineering, Harbin Institute of Technology, Harbin 150090, China ; Postdoctoral Station of Civil Engineering, Harbin Institute of Technology, Harbin 150090, China.
Thescientificworldjournal
|March 18, 2014
Summary
This study introduces a novel two-level method combining Kriging prediction and component mode synthesis (CMS) for efficient structural model updating. The approach significantly reduces computational costs for large-scale finite element models (FEM).
Area of Science:
- Structural Engineering
- Computational Mechanics
- Vibration Analysis
Background:
- Updating finite element models (FEM) of large-scale structures is computationally intensive.
- Conventional methods are often infeasible for complex structural models due to size and cost.
Purpose of the Study:
- To develop an efficient method for updating the structural models of large-scale complex structures.
- To overcome the computational limitations of traditional FEM updating techniques.
Main Methods:
- A two-level approach integrating Kriging prediction and Component Mode Synthesis (CMS).
- Level 1: CMS to create a condensed FEM.
- Level 2: Kriging predictor as a surrogate FEM for structural dynamics.
Main Results:
- Successfully updated the FEM of a real arch bridge using measured modal parameters.
- Demonstrated the effectiveness of the proposed two-level method.
- Addressed key issues in applying metamodels (surrogate FEM) to FEM updating.
Conclusions:
- The proposed Kriging-CMS method provides an effective and computationally efficient solution for FEM updating of large-scale structures.
- This approach significantly reduces the time and resources required compared to conventional methods.
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