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Adaptive Kalman filters for nonlinear finite element model updating
Mingming Song
,
Rodrigo Astroza
, Hamed Ebrahimian
, Babak Moaveni
*
, Costas Papadimitriou
*
Corresponding author for this work
Doctorado en Ciencias de la Ingeniería
Línea de investigación en Sistemas de Ingeniería Civil
Ingeniería Civil en Obras Civiles
Claustro Doctorado en Ciencias de la Ingeniería
Facultad de Ingeniería y Ciencias Aplicadas
Universidad de los Andes
Research output
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Article
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peer-review
134
Scopus citations
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Keyphrases
Nonlinear Finite Element Model Updating
100%
Adaptive Kalman Filter
100%
Adaptive Approach
100%
Adaptive Filter
75%
Non-adaptive
75%
Noise Measurement
50%
Covariance Matrix
50%
Numerical Application
50%
Nonlinear Model Updating
50%
Forgetting Factor
50%
Adaptive Method
50%
Unscented Kalman Filter
25%
Parameter Estimation
25%
Extended Kalman Filter
25%
Response Prediction
25%
Steel Frame Structure
25%
Covariance Matching Technique
25%
Nonlinear Parameter
25%
Model Errors
25%
Kalman Filter Algorithm
25%
Measurement Simulation
25%
Unscented
25%
First Application
25%
Ensemble Kalman Filter (EnKF)
25%
Steel pier
25%
Nonlinear Material Properties
25%
Acceptable Accuracy
25%
Robust Parameter Estimation
25%
Sliding Window Method
25%
Tuning Process
25%
Accuracy in Parameter Estimation
25%
Nonlinear Kalman Filter
25%
Engineering
Finite Element Modeling
100%
Kalman Filter
100%
Nonlinear Model
50%
Adaptive Filter
50%
Parameter Estimation
33%
Measurement Noise
33%
Covariance Matrix
33%
Numerical Application
33%
Moving Window
33%
Adaptive Method
33%
Steel Frame
16%
Extended Kalman Filter
16%
Model Parameter
16%
Frame Structure
16%
Estimation Result
16%
Modeling Error
16%
Simulated Measurement
16%
Physics
Covariance
100%
Adaptive Filter
100%
Finite Element Modeling
100%
Noise Measurement
66%
Parameter Estimation
66%
Computer Science
Kalman Filter
100%
Finite Element Analysis
100%
Nonlinear Model
50%
Adaptive Filter
50%
Parameter Estimation
33%
Covariance Matrix
33%
Measurement Noise
33%
Modeling Error
16%
Extended Kalman Filter
16%
Mathematics
Finite Element Method
100%
Kalman Filtering
100%
Nonlinear Model
42%
Parameter Estimation
28%
Numerical Application
28%
Covariance Matrix
28%
Residuals
14%
Covariance
14%
Earth and Planetary Sciences
Kalman Filter
100%
Covariance
42%
Adaptive Filter
42%
Parameter Estimation
28%
Noise Measurement
28%
Wharf
14%