A wavelet-based technique for damage quantification via mode shape decomposition
In this study, a neuro-wavelet technique was proposed for damage identification of cantilever structure. At first, damage localisation was accomplished through mode shape decomposition using discrete wavelet transforms. Subsequently, a damage indicator was defined based on the detail coefficients of...
Saved in:
Main Authors: | Vafaei, Mohammadreza, Alih, Sophia C., Abd. Rahman, Ahmad Baharuddin, Adnan, Azlan |
---|---|
格式: | Article |
出版: |
Taylor and Francis Ltd.
2015
|
主題: | |
在線閱讀: | http://eprints.utm.my/id/eprint/57685/ http://dx.doi.org/10.1080/15732479.2014.917114 |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
相似書籍
-
Adequacy of first mode shape differences for damage identification of cantilever structures using neural networks
由: Vafaei, M., et al.
出版: (2017) -
Seismic damage identification based on integrated artificial neural networks and wavelet transforms
由: Vafaei, Mohammadreza
出版: (2013) -
Sensor clustering-based approach for structural damage identification under ambient vibration
由: Umar, Sarehati, et al.
出版: (2021) -
Seismic damage detection using pushover analysis
由: Adnan, Azlan, et al.
出版: (2011) -
Experimental study on the efficiency of tapered strip dampers for the seismic retrofitting of damaged non-ductile RC frames
由: Vafaei, Mohammadreza, et al.
出版: (2019)