Value of the SHM system in the context of risk-based inspection planning
(2019) 12th International Workshop on Structural Health Monitoring: Enabling Intelligent Life-Cycle Health Management for Industry Internet of Things (IIOT), IWSHM 2019 In Structural Health Monitoring 2019: Enabling Intelligent Life-Cycle Health Management for Industry Internet of Things (IIOT) - Proceedings of the 12th International Workshop on Structural Health Monitoring 1. p.1517-1524- Abstract
Risk-based inspection (RBI) planning is concerned with the optimal allocation of deterioration control which is based on the pre-posterior analysis using the Bayesian decision theory and the expected utility theory. It has been widely used to make inspection and repair strategy in the field of civil engineering and infrastructure systems. Nowadays, with the developments of sensing and inspection technology, SHM has been widely adopted as an extended tool to provide decision support in the RBI planning. Structural health monitoring (SHM) systems can provide continuous performance information to decrease the existed uncertainty in engineering risk analysis. However, the quantification of benefits in the viewpoint of utility by SHM has not... (More)
Risk-based inspection (RBI) planning is concerned with the optimal allocation of deterioration control which is based on the pre-posterior analysis using the Bayesian decision theory and the expected utility theory. It has been widely used to make inspection and repair strategy in the field of civil engineering and infrastructure systems. Nowadays, with the developments of sensing and inspection technology, SHM has been widely adopted as an extended tool to provide decision support in the RBI planning. Structural health monitoring (SHM) systems can provide continuous performance information to decrease the existed uncertainty in engineering risk analysis. However, the quantification of benefits in the viewpoint of utility by SHM has not received widespread attention. The present paper is aimed to describe a framework of pre-posterior analysis for support of decisions in the viewpoint of life-cycle cost analysis (LCA), apply the concept of Value of Information (Vol) to make the optimal SHM strategy decision in the context of RBI planninng. The Vol concept is herein elaborated through an illustrative example involved the fatigue-induced degradation as well as two simplified approaches of RBI planning. It is demonstrated how Vol can be used to effectively provide a decision-making support of SHM strategy in the strategy level of RBI planning.
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- author
- Zhang, Wei Heng LU ; Lyu, Da Gang ; Faber, Michael Havbro and Thons, Sebastian LU
- publishing date
- 2019-01-01
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- Structural Health Monitoring 2019 : Enabling Intelligent Life-Cycle Health Management for Industry Internet of Things (IIOT) - Proceedings of the 12th International Workshop on Structural Health Monitoring - Enabling Intelligent Life-Cycle Health Management for Industry Internet of Things (IIOT) - Proceedings of the 12th International Workshop on Structural Health Monitoring
- series title
- Structural Health Monitoring 2019: Enabling Intelligent Life-Cycle Health Management for Industry Internet of Things (IIOT) - Proceedings of the 12th International Workshop on Structural Health Monitoring
- editor
- Chang, Fu-Kuo ; Guemes, Alfredo and Kopsaftopoulos, Fotis
- volume
- 1
- pages
- 8 pages
- publisher
- DEStech Publications
- conference name
- 12th International Workshop on Structural Health Monitoring: Enabling Intelligent Life-Cycle Health Management for Industry Internet of Things (IIOT), IWSHM 2019
- conference location
- Stanford, United States
- conference dates
- 2019-09-10 - 2019-09-12
- external identifiers
-
- scopus:85074441498
- ISBN
- 9781605956015
- DOI
- 10.12783/shm2019/32275
- language
- English
- LU publication?
- no
- id
- 389ffef7-e4ca-479a-a758-2f9a52dfe6b5
- date added to LUP
- 2020-09-08 19:01:15
- date last changed
- 2022-04-19 00:49:49
@inproceedings{389ffef7-e4ca-479a-a758-2f9a52dfe6b5,
abstract = {{<p>Risk-based inspection (RBI) planning is concerned with the optimal allocation of deterioration control which is based on the pre-posterior analysis using the Bayesian decision theory and the expected utility theory. It has been widely used to make inspection and repair strategy in the field of civil engineering and infrastructure systems. Nowadays, with the developments of sensing and inspection technology, SHM has been widely adopted as an extended tool to provide decision support in the RBI planning. Structural health monitoring (SHM) systems can provide continuous performance information to decrease the existed uncertainty in engineering risk analysis. However, the quantification of benefits in the viewpoint of utility by SHM has not received widespread attention. The present paper is aimed to describe a framework of pre-posterior analysis for support of decisions in the viewpoint of life-cycle cost analysis (LCA), apply the concept of Value of Information (Vol) to make the optimal SHM strategy decision in the context of RBI planninng. The Vol concept is herein elaborated through an illustrative example involved the fatigue-induced degradation as well as two simplified approaches of RBI planning. It is demonstrated how Vol can be used to effectively provide a decision-making support of SHM strategy in the strategy level of RBI planning.</p>}},
author = {{Zhang, Wei Heng and Lyu, Da Gang and Faber, Michael Havbro and Thons, Sebastian}},
booktitle = {{Structural Health Monitoring 2019 : Enabling Intelligent Life-Cycle Health Management for Industry Internet of Things (IIOT) - Proceedings of the 12th International Workshop on Structural Health Monitoring}},
editor = {{Chang, Fu-Kuo and Guemes, Alfredo and Kopsaftopoulos, Fotis}},
isbn = {{9781605956015}},
language = {{eng}},
month = {{01}},
pages = {{1517--1524}},
publisher = {{DEStech Publications}},
series = {{Structural Health Monitoring 2019: Enabling Intelligent Life-Cycle Health Management for Industry Internet of Things (IIOT) - Proceedings of the 12th International Workshop on Structural Health Monitoring}},
title = {{Value of the SHM system in the context of risk-based inspection planning}},
url = {{http://dx.doi.org/10.12783/shm2019/32275}},
doi = {{10.12783/shm2019/32275}},
volume = {{1}},
year = {{2019}},
}