Application of regularization methods to damage detection in large scale plane frame structures using incomplete noisy modal data
By Huapeng Chen. 2008
52 citations recorded by the source corpus.
Subfields: Civil and Structural Engineering, Mechanics of Materials, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/3b73dc68d03ebb2c7756d3bfe25141a692b1c02d
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Civil and Structural Engineering
- Mohsen Ghafory-Ashtiany
- Alireza Entezami
- Hassan Sarmadi
- Gholamreza Ghodrati Amiri
- Abdollah Bagheri
- Hashem Shariatmadar
- S. S. Kourehli
In Mechanics of Materials
- Mohsen Ghafory-Ashtiany
- Alireza Entezami
- Hassan Sarmadi
- Gholamreza Ghodrati Amiri
- Abdollah Bagheri
- Hashem Shariatmadar
- S. S. Kourehli
In Statistics and Probability
- Mohsen Ghafory-Ashtiany
- Alireza Entezami
- Hassan Sarmadi
- Gholamreza Ghodrati Amiri
- Abdollah Bagheri
- Hashem Shariatmadar
- S. S. Kourehli
Citations in the corpus
- Structural damage detection using incomplete modal data and incomplete static response (2013, methodology): “Chen et al. (2005) developed a structural damage detection method by using a limited test static displacement based on grey system theory.”
- Structural damage detection by a new iterative regularization method and an improved sensitivity function (2017, methodology): “The regularized solution of damage identification problem can be found in the article of Chen [18], who utilized a regularization method, truncated singular value decomposition (TSVD), for detecting damage in a 16-story braced frame building model.”