The effects of deterioration models on the value of damage detection information
(2019) 6th International Symposium on Life-Cycle Civil Engineering, IALCCE 2018 In Life-Cycle Analysis and Assessment in Civil Engineering: Towards an Integrated Vision - Proceedings of the 6th International Symposium on Life-Cycle Civil Engineering, IALCCE 2018 p.2137-2144- Abstract
This paper addresses the effects of the deterioration on the value of damage detection information. The quantification of the value of damage detection information for deteriorated structures is based on Bayesian pre-posterior decision analysis, comprising structural system performance models, consequence, benefit and costs models and damage detection information models throughout the service life of a structural system. The value of damage detection information accounts for the relevance and precision of the information to ensure the structural integrity and to reduce the potential structural system risks and expected costs throughout the service life before implementing damage detection system. With the developed approach, the value... (More)
This paper addresses the effects of the deterioration on the value of damage detection information. The quantification of the value of damage detection information for deteriorated structures is based on Bayesian pre-posterior decision analysis, comprising structural system performance models, consequence, benefit and costs models and damage detection information models throughout the service life of a structural system. The value of damage detection information accounts for the relevance and precision of the information to ensure the structural integrity and to reduce the potential structural system risks and expected costs throughout the service life before implementing damage detection system. With the developed approach, the value of damage detection information for a statically determinate Pratt truss bridge girder subjected to different deterioration models is calculated. The analysis shows the impact of the deterioration model parameters on the value of damage detection information. The results can be used to develop optimal maintenance strategies before implementation of the damage detection system.
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- author
- Long, L. ; Thöns, S. LU and Döhler, M.
- publishing date
- 2019-01-01
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- Life-Cycle Analysis and Assessment in Civil Engineering : Towards an Integrated Vision - Proceedings of the 6th International Symposium on Life-Cycle Civil Engineering, IALCCE 2018 - Towards an Integrated Vision - Proceedings of the 6th International Symposium on Life-Cycle Civil Engineering, IALCCE 2018
- series title
- Life-Cycle Analysis and Assessment in Civil Engineering: Towards an Integrated Vision - Proceedings of the 6th International Symposium on Life-Cycle Civil Engineering, IALCCE 2018
- editor
- Frangopol, Dan M. ; Caspeele, Robby and Taerwe, Luc
- pages
- 8 pages
- publisher
- CRC Press/Balkema
- conference name
- 6th International Symposium on Life-Cycle Civil Engineering, IALCCE 2018
- conference location
- Ghent, Belgium
- conference dates
- 2018-10-28 - 2018-10-31
- external identifiers
-
- scopus:85063967184
- ISBN
- 9781138626331
- language
- English
- LU publication?
- no
- id
- 97c06d55-338a-4558-9659-bb5aa904ac9b
- date added to LUP
- 2020-09-09 09:06:39
- date last changed
- 2022-04-19 00:44:35
@inproceedings{97c06d55-338a-4558-9659-bb5aa904ac9b, abstract = {{<p>This paper addresses the effects of the deterioration on the value of damage detection information. The quantification of the value of damage detection information for deteriorated structures is based on Bayesian pre-posterior decision analysis, comprising structural system performance models, consequence, benefit and costs models and damage detection information models throughout the service life of a structural system. The value of damage detection information accounts for the relevance and precision of the information to ensure the structural integrity and to reduce the potential structural system risks and expected costs throughout the service life before implementing damage detection system. With the developed approach, the value of damage detection information for a statically determinate Pratt truss bridge girder subjected to different deterioration models is calculated. The analysis shows the impact of the deterioration model parameters on the value of damage detection information. The results can be used to develop optimal maintenance strategies before implementation of the damage detection system.</p>}}, author = {{Long, L. and Thöns, S. and Döhler, M.}}, booktitle = {{Life-Cycle Analysis and Assessment in Civil Engineering : Towards an Integrated Vision - Proceedings of the 6th International Symposium on Life-Cycle Civil Engineering, IALCCE 2018}}, editor = {{Frangopol, Dan M. and Caspeele, Robby and Taerwe, Luc}}, isbn = {{9781138626331}}, language = {{eng}}, month = {{01}}, pages = {{2137--2144}}, publisher = {{CRC Press/Balkema}}, series = {{Life-Cycle Analysis and Assessment in Civil Engineering: Towards an Integrated Vision - Proceedings of the 6th International Symposium on Life-Cycle Civil Engineering, IALCCE 2018}}, title = {{The effects of deterioration models on the value of damage detection information}}, year = {{2019}}, }