Model updating by uncertain parameter inference

H. M. Gomes, M. Broggi, E. Patelli, J. E. Mottershead

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

Abstract

The model updating based on measured data is a challenging problem that has received attention and resulted in different approaches. Depending on the intended level of accuracy and availability of data, the adoption of the right approach may bring important information to the updated parameters and ultimately may reduce the systematic (Epistemic) uncertainty and quantify the irreducible statistical uncertainty (Aleatory). This paper explains, applies and compares three model updating techniques (i.e. Sensitivity model updating, Interval model updating and Bayesian model updating) to simple numerical examples. Remarks related to the performance, accuracy and information provided by the different approaches are drawn along the examples.

Original languageEnglish
Title of host publicationVulnerability, Uncertainty, and Risk
Subtitle of host publicationQuantification, Mitigation, and Management - Proceedings of the 2nd International Conference on Vulnerability and Risk Analysis and Management, ICVRAM 2014 and the 6th International Symposium on Uncertainty Modeling and Analysis, ISUMA 2014
EditorsJim W. Hall, Siu-Kui Au, Michael Beer
PublisherAmerican Society of Civil Engineers (ASCE)
Pages1523-1532
Number of pages10
ISBN (Electronic)9780784413609
DOIs
Publication statusPublished - 7 Jul 2014
Event2nd International Conference on Vulnerability and Risk Analysis and Management, ICVRAM 2014 and the 6th International Symposium on Uncertainty Modeling and Analysis, ISUMA 2014 - Liverpool, United Kingdom
Duration: 13 Jul 201416 Jul 2014

Publication series

NameVulnerability, Uncertainty, and Risk: Quantification, Mitigation, and Management - Proceedings of the 2nd International Conference on Vulnerability and Risk Analysis and Management, ICVRAM 2014 and the 6th International Symposium on Uncertainty Modeling and Analysis, ISUMA 2014

Conference

Conference2nd International Conference on Vulnerability and Risk Analysis and Management, ICVRAM 2014 and the 6th International Symposium on Uncertainty Modeling and Analysis, ISUMA 2014
CountryUnited Kingdom
CityLiverpool
Period13/07/1416/07/14

Keywords

  • interval analysis
  • PSO
  • sensitivity model updating
  • TMCMC
  • uncertainty quantification
  • modal analysis
  • uncertainty analysis
  • Bayesian networks
  • numerical methods
  • risk analysis

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  • Cite this

    Gomes, H. M., Broggi, M., Patelli, E., & Mottershead, J. E. (2014). Model updating by uncertain parameter inference. In J. W. Hall, S-K. Au, & M. Beer (Eds.), Vulnerability, Uncertainty, and Risk: Quantification, Mitigation, and Management - Proceedings of the 2nd International Conference on Vulnerability and Risk Analysis and Management, ICVRAM 2014 and the 6th International Symposium on Uncertainty Modeling and Analysis, ISUMA 2014 (pp. 1523-1532). (Vulnerability, Uncertainty, and Risk: Quantification, Mitigation, and Management - Proceedings of the 2nd International Conference on Vulnerability and Risk Analysis and Management, ICVRAM 2014 and the 6th International Symposium on Uncertainty Modeling and Analysis, ISUMA 2014). American Society of Civil Engineers (ASCE). https://doi.org/10.1061/9780784413609.153