Big Data Analytics in Structural Health Monitoring
This dissertation investigates methods to implement big data analytics in structural health monitoring. Four types of activities are considered: (1) data processing; (2) structural damage diagnosis and prognosis with uncertainty quantification; (3) high-dimensional model parameter calibration; and (...
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| Format: | Others |
| Language: | en |
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VANDERBILT
2017
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| Online Access: | http://etd.library.vanderbilt.edu/available/etd-09262017-171750/ |