Structural damage identification through unscented Kalman inversion with l 1 -norm regularization
Author:
Affiliation:
1. School of Civil Engineering, Southeast University, Nanjing, Jiangsu, People’s Republic of China
2. Jiangsu Key Laboratory of Engineering Mechanics, Southeast University, Nanjing, Jiangsu, People’s Republic of China
Funder
National Key R&D Program of China
Young Scientists Fund of the National Natural Science Foundation of China
Publisher
Informa UK Limited
Link
https://www.tandfonline.com/doi/pdf/10.1080/0305215X.2024.2315508
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4. Accounting for environmental variability, modeling errors, and parameter estimation uncertainties in structural identification
5. Probabilistic damage identification of a designed 9-story building using modal data in the presence of modeling errors
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