On the utilization of monitoring data in an ultimate limit state reliability analysis
(2011) 11th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP In Applications of Statistics and Probability in Civil Engineering -Proceedings of the 11th International Conference on Applications of Statistics and Probability in Civil Engineering p.1762-1769- Abstract
This paper describes a structural reliability analysis utilizing monitoring data in the ultimate limit state with consideration of the uncertainties of the monitoring procedure. For this purpose the uncertainties of the monitoring data are modeled utilizing a new framework for the determination of measurement uncertainties. The approach is based on a process equation and statistical models of observations for the derivation of a posterior measurement uncertainty by Bayesian updating. This facilitates the quantification of a measurement uncertainty using all available data of the measurement process. For the reliability analysis in the ultimate limit state, monitoring data can be utilized as a loading model information and as proof... (More)
This paper describes a structural reliability analysis utilizing monitoring data in the ultimate limit state with consideration of the uncertainties of the monitoring procedure. For this purpose the uncertainties of the monitoring data are modeled utilizing a new framework for the determination of measurement uncertainties. The approach is based on a process equation and statistical models of observations for the derivation of a posterior measurement uncertainty by Bayesian updating. This facilitates the quantification of a measurement uncertainty using all available data of the measurement process. For the reliability analysis in the ultimate limit state, monitoring data can be utilized as a loading model information and as proof loading, i.e. resistance model information. Both approaches are discussed with generic examples and it is shown that the modeling of monitoring data in a reliability analysis can result in a reduction of uncertainties and as a consequence in the reduction of the probability of failure. Furthermore, the proof loading concept is developed further to account for the uncertain characteristic of proof loading due to the measurement uncertainties which is consistent with the framework for the determination of measurement uncertainties. These approaches and findings can be utilized for the assessment of structures for life cycle extension and the design of monitoring systems
(Less)
- author
- Thöns, S. LU ; Faber, M. H. and Rücker, W.
- publishing date
- 2011-01-01
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- Applications of Statistics and Probability in Civil Engineering -Proceedings of the 11th International Conference on Applications of Statistics and Probability in Civil Engineering
- series title
- Applications of Statistics and Probability in Civil Engineering -Proceedings of the 11th International Conference on Applications of Statistics and Probability in Civil Engineering
- pages
- 8 pages
- publisher
- Taylor & Francis
- conference name
- 11th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP
- conference location
- Zurich, Switzerland
- conference dates
- 2011-08-01 - 2011-08-04
- external identifiers
-
- scopus:84856746705
- ISBN
- 9780415669863
- language
- English
- LU publication?
- no
- id
- 6d29e441-0128-4bfb-9a3f-b08e1e070668
- date added to LUP
- 2020-09-09 11:18:47
- date last changed
- 2022-02-01 08:35:55
@inproceedings{6d29e441-0128-4bfb-9a3f-b08e1e070668,
abstract = {{<p>This paper describes a structural reliability analysis utilizing monitoring data in the ultimate limit state with consideration of the uncertainties of the monitoring procedure. For this purpose the uncertainties of the monitoring data are modeled utilizing a new framework for the determination of measurement uncertainties. The approach is based on a process equation and statistical models of observations for the derivation of a posterior measurement uncertainty by Bayesian updating. This facilitates the quantification of a measurement uncertainty using all available data of the measurement process. For the reliability analysis in the ultimate limit state, monitoring data can be utilized as a loading model information and as proof loading, i.e. resistance model information. Both approaches are discussed with generic examples and it is shown that the modeling of monitoring data in a reliability analysis can result in a reduction of uncertainties and as a consequence in the reduction of the probability of failure. Furthermore, the proof loading concept is developed further to account for the uncertain characteristic of proof loading due to the measurement uncertainties which is consistent with the framework for the determination of measurement uncertainties. These approaches and findings can be utilized for the assessment of structures for life cycle extension and the design of monitoring systems</p>}},
author = {{Thöns, S. and Faber, M. H. and Rücker, W.}},
booktitle = {{Applications of Statistics and Probability in Civil Engineering -Proceedings of the 11th International Conference on Applications of Statistics and Probability in Civil Engineering}},
isbn = {{9780415669863}},
language = {{eng}},
month = {{01}},
pages = {{1762--1769}},
publisher = {{Taylor & Francis}},
series = {{Applications of Statistics and Probability in Civil Engineering -Proceedings of the 11th International Conference on Applications of Statistics and Probability in Civil Engineering}},
title = {{On the utilization of monitoring data in an ultimate limit state reliability analysis}},
year = {{2011}},
}