Chapter
Jun 20, 2012
Multiple-Model Updating to Improve Knowledge of Structural System Behavior
Publication: Structures Congress 2006: 17th Analysis and Computation Specialty Conference
Abstract
A system identification and model updating methodology that accounts for factors influencing the reliability of identification is proposed. An important aspect of this methodology is the generation of a population of candidate models. This paper presents an analysis of error sources that are used to define model populations. To interpret these populations we use data mining techniques such as correlation measurements and principal components analysis. These methods are useful for estimating the reliability of system identification when the number of candidate models is high.
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Copyright
© 2006 American Society of Civil Engineers.
History
Published online: Jun 20, 2012
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ASCE Technical Topics:
- Data analysis
- Design (by type)
- Engineering fundamentals
- Errors (statistics)
- Mathematics
- Methodology (by type)
- Models (by type)
- Research methods (by type)
- Statistics
- Structural behavior
- Structural design
- Structural engineering
- Structural models
- Structural reliability
- Structural system identification
- Structural systems
- System reliability
- Systems engineering
- Systems management
Authors
Affiliations
Ecole Polytechnique Fédérale de Lausanne, Station 18, 1015 Lausanne, Switzerland. E-mail: [email protected]
Ecole Polytechnique Fédérale de Lausanne, Station 18, 1015 Lausanne, Switzerland. E-mail: [email protected]
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ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.
Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.