Structural damage identification with uncertain modelling error and measurement noise by clustering based tree seeds algorithm
This paper proposes a novel structural damage identification approach by using the clustering based Tree Seeds Algorithm, termed as C-TSA, taking into account of both the finite element modeling errors and measurement noise. In order to make the standard TSA more powerful and robust, K-means cluster...
| Main Authors: | , , , |
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| Format: | Journal Article |
| Published: |
Pergamon
2019
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| Online Access: | http://hdl.handle.net/20.500.11937/73762 |