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An efficient Bayesian method for identifying large structural systems in eigen-space using reduced-order sub-structures
DOI:10.1016/j.engstruct.2026.123774.png)
Abstract
En 中文
• The eigenvalue problem equation is embedded in the posterior PDF for its construction in reduced eigen space
• Sub-structure parameterization gives a linear relationship between structural and modal parameters for efficient iteration
• A sampling method combined with an enhanced iterative algorithm for constructing the posterior PDF
• Effectiveness of the proposed method is demonstrated with simulated and full-scale buildings
Keywords:
Bayesian structural identification
Model reduction
Modal analysis
Sub-structure
Journal
IF:
6.4
Papers:
2.1W
Citations:
8.7W
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