Model updating by uncertain parameter inference

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

doi:10.1061/9780784413609.153

Model updating by uncertain parameter inference

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

Civil And Environmental Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

3 Citations (Scopus)

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 language	English
Title of host publication	Vulnerability, Uncertainty, and Risk
Subtitle of host publication	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
Editors	Jim W. Hall, Siu-Kui Au, Michael Beer
Publisher	American Society of Civil Engineers (ASCE)
Pages	1523-1532
Number of pages	10
ISBN (Electronic)	9780784413609
DOIs	https://doi.org/10.1061/9780784413609.153
Publication status	Published - 7 Jul 2014
Event	2nd 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 2014 → 16 Jul 2014

Publication series

Name	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

Conference

Conference	2nd International Conference on Vulnerability and Risk Analysis and Management, ICVRAM 2014 and the 6th International Symposium on Uncertainty Modeling and Analysis, ISUMA 2014
Country/Territory	United Kingdom
City	Liverpool
Period	13/07/14 → 16/07/14

Keywords

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

Access to Document

10.1061/9780784413609.153

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

Gomes, H. M. ; Broggi, M. ; Patelli, E. et al. / Model updating by uncertain parameter inference. 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. editor / Jim W. Hall ; Siu-Kui Au ; Michael Beer. American Society of Civil Engineers (ASCE), 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).

@inproceedings{d4b67a555dc846ac855b82fc5baf2f20,

title = "Model updating by uncertain parameter inference",

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.",

keywords = "interval analysis, PSO, sensitivity model updating, TMCMC, uncertainty quantification, modal analysis, uncertainty analysis, Bayesian networks, numerical methods, risk analysis",

author = "Gomes, \{H. M.\} and M. Broggi and E. Patelli and Mottershead, \{J. E.\}",

year = "2014",

month = jul,

day = "7",

doi = "10.1061/9780784413609.153",

language = "English",

series = "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",

publisher = "American Society of Civil Engineers (ASCE)",

pages = "1523--1532",

editor = "Hall, \{Jim W.\} and Siu-Kui Au and Michael Beer",

booktitle = "Vulnerability, Uncertainty, and Risk",

address = "United States",

note = "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 date: 13-07-2014 Through 16-07-2014",

}

Gomes, HM, Broggi, M, Patelli, E & Mottershead, JE 2014, Model updating by uncertain parameter inference. in JW 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. 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), pp. 1523-1532, 2nd 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, 13/07/14. https://doi.org/10.1061/9780784413609.153

Model updating by uncertain parameter inference. / Gomes, H. M.; Broggi, M.; Patelli, E. et al.
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. ed. / Jim W. Hall; Siu-Kui Au; Michael Beer. American Society of Civil Engineers (ASCE), 2014. p. 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).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

TY - GEN

T1 - Model updating by uncertain parameter inference

AU - Gomes, H. M.

AU - Broggi, M.

AU - Patelli, E.

AU - Mottershead, J. E.

PY - 2014/7/7

Y1 - 2014/7/7

N2 - 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.

AB - 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.

KW - interval analysis

KW - PSO

KW - sensitivity model updating

KW - TMCMC

KW - uncertainty quantification

KW - modal analysis

KW - uncertainty analysis

KW - Bayesian networks

KW - numerical methods

KW - risk analysis

UR - https://www.scopus.com/pages/publications/84933544330

U2 - 10.1061/9780784413609.153

DO - 10.1061/9780784413609.153

M3 - Conference contribution book

AN - SCOPUS:84933544330

T3 - 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

SP - 1523

EP - 1532

BT - Vulnerability, Uncertainty, and Risk

A2 - Hall, Jim W.

A2 - Au, Siu-Kui

A2 - Beer, Michael

PB - American Society of Civil Engineers (ASCE)

T2 - 2nd International Conference on Vulnerability and Risk Analysis and Management, ICVRAM 2014 and the 6th International Symposium on Uncertainty Modeling and Analysis, ISUMA 2014

Y2 - 13 July 2014 through 16 July 2014

ER -

Gomes HM, Broggi M, Patelli E, Mottershead JE. Model updating by uncertain parameter inference. In Hall JW, Au SK, Beer M, editors, 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). 2014. p. 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). doi: 10.1061/9780784413609.153

Model updating by uncertain parameter inference

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this