Multiple-Model Structural Identification
Civil Engineering Applications
Published Online: 15 SEP 2009
Copyright © 2009 John Wiley & Sons, Ltd. All rights reserved.
Encyclopedia of Structural Health Monitoring
How to Cite
Smith, I. F. C. 2009. Multiple-Model Structural Identification. Encyclopedia of Structural Health Monitoring. .
- Published Online: 15 SEP 2009
Complex structures create important challenges in structural health monitoring. Direct measurement of all phenomena is not possible. Modeling of behavior is rarely accurate. Measurement systems also have errors that may compensate modeling errors so that wrong models are identified. Generation and subsequent filtering of candidate models using rationally defined error thresholds provides systematic support to structural identification. Five orders of identification are described. At the lowest level (order 0), the model used for design is calibrated with measurements. At the highest level (order 4), candidate models are generated using the criterion that the differences between measurements and predictions fall below a threshold value that is fixed probabilistically. At identification order 4, candidate models are then filtered using data-mining techniques and the addition of specially targeted measurement data. The best order to choose depends on available information and resources, as well as the level of decision support required for specific infrastructure-management tasks.
- model-based diagnosis;
- data mining