Seismic damage identification based on integrated artificial neural networks and wavelet transforms
In recent years, Structural Health Monitoring (SHM) has been proposed and practiced for condition assessment of structures. SHM covers shortcomings of nondestructive tests and is comprised of a sensory system, data acquisition system, and damage identification system. In this study, numerical and ex...
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| Main Author: | |
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| Format: | Thesis |
| Language: | English |
| Published: |
2013
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/36929/5/MohammadrezaVafaePFKA2013.pdf |
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