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The effects of deterioration models on the value of damage detection information

Long, L. ; Thöns, S. LU and Döhler, M. (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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Please use this url to cite or link to this publication:
author
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publishing date
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}},
}