The influence of brittle daniels system characteristics on the value of load monitoring information
(2016) 8th European Workshop on Structural Health Monitoring, EWSHM 2016 In 8th European Workshop on Structural Health Monitoring, EWSHM 2016 1. p.638-646- Abstract
This paper addresses the influence of deteriorating brittle Daniels system characteristics on the value of structural health monitoring (SHM). The value of SHM is quantified as the difference between the life cycle benefits with and without SHM. A value of SHM analysis is performed within the framework of the Bayesian preposterior decision theory and requires (1) structural performance modelling and prediction, (2) structural integrity management models, (3) the (pre-posterior) modelling of SHM and (4) the coupling of SHM and the structural performance models. The pre-posterior decision theoretical framework facilitates that the value of SHM can be quantified before the SHM system is quantified and before data are acquired. The results... (More)
This paper addresses the influence of deteriorating brittle Daniels system characteristics on the value of structural health monitoring (SHM). The value of SHM is quantified as the difference between the life cycle benefits with and without SHM. A value of SHM analysis is performed within the framework of the Bayesian preposterior decision theory and requires (1) structural performance modelling and prediction, (2) structural integrity management models, (3) the (pre-posterior) modelling of SHM and (4) the coupling of SHM and the structural performance models. The pre-posterior decision theoretical framework facilitates that the value of SHM can be quantified before the SHM system is quantified and before data are acquired. The results of this study support decisions to select structural systems for which the SHM strategy load monitoring is optimal.
(Less)
- author
- Thöns, Sebastian LU and Schneider, Ronald
- publishing date
- 2016-01-01
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- Daniels systems, Deterioration, Structural performance, Value of information
- host publication
- 8th European Workshop on Structural Health Monitoring, EWSHM 2016
- series title
- 8th European Workshop on Structural Health Monitoring, EWSHM 2016
- volume
- 1
- pages
- 9 pages
- publisher
- NDT.net
- conference name
- 8th European Workshop on Structural Health Monitoring, EWSHM 2016
- conference location
- Bilbao, Spain
- conference dates
- 2016-07-05 - 2016-07-08
- external identifiers
-
- scopus:84994853715
- ISBN
- 9781510827936
- language
- English
- LU publication?
- no
- id
- 1c845b18-4e39-4800-940c-080e463eb70a
- date added to LUP
- 2020-09-09 09:26:13
- date last changed
- 2022-02-01 08:30:43
@inproceedings{1c845b18-4e39-4800-940c-080e463eb70a, abstract = {{<p>This paper addresses the influence of deteriorating brittle Daniels system characteristics on the value of structural health monitoring (SHM). The value of SHM is quantified as the difference between the life cycle benefits with and without SHM. A value of SHM analysis is performed within the framework of the Bayesian preposterior decision theory and requires (1) structural performance modelling and prediction, (2) structural integrity management models, (3) the (pre-posterior) modelling of SHM and (4) the coupling of SHM and the structural performance models. The pre-posterior decision theoretical framework facilitates that the value of SHM can be quantified before the SHM system is quantified and before data are acquired. The results of this study support decisions to select structural systems for which the SHM strategy load monitoring is optimal.</p>}}, author = {{Thöns, Sebastian and Schneider, Ronald}}, booktitle = {{8th European Workshop on Structural Health Monitoring, EWSHM 2016}}, isbn = {{9781510827936}}, keywords = {{Daniels systems; Deterioration; Structural performance; Value of information}}, language = {{eng}}, month = {{01}}, pages = {{638--646}}, publisher = {{NDT.net}}, series = {{8th European Workshop on Structural Health Monitoring, EWSHM 2016}}, title = {{The influence of brittle daniels system characteristics on the value of load monitoring information}}, volume = {{1}}, year = {{2016}}, }