Structural Modal Time Domain Identification Method Based on the Bayesian Uncertain Quantification
Based on the Bayesian framework, a time domain method is proposed for the uncertain quantification of structural modal identification. First, a theoretical prediction model is constructed from the state space model in modal space and then transformed into physical space using the modal basis. Second...
        Saved in:
      
    
          | Main Authors: | Yaozong Pan, Yan Zhao | 
|---|---|
| Format: | Article | 
| Language: | English | 
| Published: | MDPI AG
    
        2024-10-01 | 
| Series: | Applied Sciences | 
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/14/21/9927 | 
| Tags: | Add Tag 
      No Tags, Be the first to tag this record!
   | 
Similar Items
- 
                
                    Modal Test and Analysis of the Engine,Gearbox and Frame of a Light Truck        
                          
 by: Wang Junyuan, et al.
 Published: (2017-01-01)
- 
                
                    Bayesian deep learning applied to diabetic retinopathy with uncertainty quantification        
                          
 by: Masoud Muhammed Hassan, et al.
 Published: (2025-01-01)
- 
                
                    Bayesian calibration and uncertainty quantification for a large nutrient load impact modelZenodoZenodoZenodo        
                          
 by: Karel Kaurila, et al.
 Published: (2025-03-01)
- 
                
                    An enhanced Bayesian approach for damage identification utilizing prior knowledge from refined elemental modal strain energy ratios        
                          
 by: Li Chen, et al.
 Published: (2025-01-01)
- 
                
                    Composite Bayesian Optimization in function spaces using NEON—Neural Epistemic Operator Networks        
                          
 by: Leonardo Ferreira Guilhoto, et al.
 Published: (2024-11-01)
 
       