We found a match
Your institution may have rights to this item. Sign in to continue.
- Title
Data compression of very large-scale structural seismic and typhoon responses by low-rank representation with matrix reshape.
- Authors
Yang, Yongchao; Nagarajaiah, Satish; Ni, Yi‐Qing
- Abstract
The intrinsic low-dimensional structure, which is implicit in the large-scale data sets of structural seismic and typhoon responses, is exploited for efficient data compression. Such a low-dimensional structure, empirically, stems from few modes that are active in the structural dynamic responses. Originally, limited to the sensor and timehistory dimension, the structural seismic and typhoon response data set generally does not have an explicit lowrank representation (e.g., by singular value decomposition or principal component analysis), which is critical in multi-channel data compression. By the proposed matrix reshape scheme, the low-rank structure of the largescale data set stands out, regardless of the original data dimension. Examples demonstrate that the developed method can significantly compress the large-scale structural seismic and typhoon response data sets, which were recorded by the structural health monitoring system of the super high-rise Canton Tower.
- Subjects
SEISMIC response; DATA compression; STRUCTURAL dynamics; SINGULAR value decomposition; STRUCTURAL health monitoring; TYPHOONS
- Publication
Structural Control & Health Monitoring, 2015, Vol 22, Issue 8, p1119
- ISSN
1545-2255
- Publication type
Article
- DOI
10.1002/stc.1737