Quantification of the value of structural health monitoring information for fatigue deteriorating structural systems
(2015) 12th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2012 In 12th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2015- Abstract
This paper addresses the quantification of the value of structural health monitoring (SHM) before its implementation for structural systems on the basis of its Value of Information (VoI). The value of SHM is calculated utilizing the Bayesian pre-posterior decision analysis modelling the structural life cycle performance, the integrity management and the structural risks. The relevance and precision of SHM information for the reduction of the structural system risks and the expected cost of the structural integrity management throughout the life cycle constitutes the value of SHM and is quantified with this framework. The approach is focused on fatigue deteriorating structural steel systems for which a continuous resistance deterioration... (More)
This paper addresses the quantification of the value of structural health monitoring (SHM) before its implementation for structural systems on the basis of its Value of Information (VoI). The value of SHM is calculated utilizing the Bayesian pre-posterior decision analysis modelling the structural life cycle performance, the integrity management and the structural risks. The relevance and precision of SHM information for the reduction of the structural system risks and the expected cost of the structural integrity management throughout the life cycle constitutes the value of SHM and is quantified with this framework. The approach is focused on fatigue deteriorating structural steel systems for which a continuous resistance deterioration formulation is introduced. In a case study, the value of SHM for load monitoring is calculated for a Daniels system subjected to fatigue deterioration. The influence of and the value of SHM in regard to the structural system risks and the integrity management is explicated and explained. The results are pointing to the importance of the consideration of the structural system risks for the quantification of the value of SHM.
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- author
- Thöns, Sebastian LU ; Schneider, Ronald and Faber, Michael H.
- publishing date
- 2015-01-01
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- 12th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2015
- series title
- 12th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2015
- publisher
- University of British Columbia
- conference name
- 12th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2012
- conference location
- Vancouver, Canada
- conference dates
- 2015-07-12 - 2015-07-15
- external identifiers
-
- scopus:84978734684
- ISBN
- 9780888652454
- language
- English
- LU publication?
- no
- id
- c443b418-1415-44b0-a8ed-b1f58674754b
- date added to LUP
- 2020-09-09 09:28:23
- date last changed
- 2022-04-19 00:44:36
@inproceedings{c443b418-1415-44b0-a8ed-b1f58674754b,
abstract = {{<p>This paper addresses the quantification of the value of structural health monitoring (SHM) before its implementation for structural systems on the basis of its Value of Information (VoI). The value of SHM is calculated utilizing the Bayesian pre-posterior decision analysis modelling the structural life cycle performance, the integrity management and the structural risks. The relevance and precision of SHM information for the reduction of the structural system risks and the expected cost of the structural integrity management throughout the life cycle constitutes the value of SHM and is quantified with this framework. The approach is focused on fatigue deteriorating structural steel systems for which a continuous resistance deterioration formulation is introduced. In a case study, the value of SHM for load monitoring is calculated for a Daniels system subjected to fatigue deterioration. The influence of and the value of SHM in regard to the structural system risks and the integrity management is explicated and explained. The results are pointing to the importance of the consideration of the structural system risks for the quantification of the value of SHM.</p>}},
author = {{Thöns, Sebastian and Schneider, Ronald and Faber, Michael H.}},
booktitle = {{12th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2015}},
isbn = {{9780888652454}},
language = {{eng}},
month = {{01}},
publisher = {{University of British Columbia}},
series = {{12th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2015}},
title = {{Quantification of the value of structural health monitoring information for fatigue deteriorating structural systems}},
year = {{2015}},
}