Utility analysis for SHM durations and service life extension of welds on steel bridge deck
(2022) In Structure and Infrastructure Engineering 18(4). p.492-504- Abstract
Optimization of the duration of Structural Health Monitoring (SHM) campaigns is rarely performed. This article provides a utility-based solution to posteriorly determine: i) optimal monitoring durations and ii) the extension of the service life of the welds on a steel bridge deck. The approach is illustrated with a case study focusing on remaining fatigue life estimation of the welds on the orthotropic steel deck of the Great Belt Bridge, in Denmark. The identification of the optimal monitoring duration and the decision about extending the service life of the welds are modelled by maximizing the expected benefits and minimizing the structural risks. The results are a parametric analysis, mainly on the effect of the target probability,... (More)
Optimization of the duration of Structural Health Monitoring (SHM) campaigns is rarely performed. This article provides a utility-based solution to posteriorly determine: i) optimal monitoring durations and ii) the extension of the service life of the welds on a steel bridge deck. The approach is illustrated with a case study focusing on remaining fatigue life estimation of the welds on the orthotropic steel deck of the Great Belt Bridge, in Denmark. The identification of the optimal monitoring duration and the decision about extending the service life of the welds are modelled by maximizing the expected benefits and minimizing the structural risks. The results are a parametric analysis, mainly on the effect of the target probability, benefit, cost of failure, cost of rehabilitation, cost of monitoring and discount rate on the posterior utilities of monitoring strategies and the choice of service life considering the risk variability and the costs and benefits models. The results show that the decision on short-term monitoring, i.e., 1 week every six months, is overall the most valued SHM strategy. In addition, it is found that the target probability is the most sensitive parameter affecting the optimal SHM durations and service life extension of the welds.
(Less)
- author
- Long, Lijia ; Alcover, Isaac Farreras and Thöns, Sebastian LU
- organization
- publishing date
- 2022
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Fatigue, monitoring strategy, orthotropic steel deck, structural health monitoring, utility and decision theory
- in
- Structure and Infrastructure Engineering
- volume
- 18
- issue
- 4
- pages
- 492 - 504
- publisher
- Taylor & Francis
- external identifiers
-
- scopus:85098854935
- ISSN
- 1573-2479
- DOI
- 10.1080/15732479.2020.1866026
- language
- English
- LU publication?
- yes
- id
- b853bbc7-a2c4-42e8-bf8a-1974b812b4f5
- date added to LUP
- 2021-01-18 13:34:55
- date last changed
- 2022-06-30 08:14:35
@article{b853bbc7-a2c4-42e8-bf8a-1974b812b4f5,
abstract = {{<p>Optimization of the duration of Structural Health Monitoring (SHM) campaigns is rarely performed. This article provides a utility-based solution to posteriorly determine: i) optimal monitoring durations and ii) the extension of the service life of the welds on a steel bridge deck. The approach is illustrated with a case study focusing on remaining fatigue life estimation of the welds on the orthotropic steel deck of the Great Belt Bridge, in Denmark. The identification of the optimal monitoring duration and the decision about extending the service life of the welds are modelled by maximizing the expected benefits and minimizing the structural risks. The results are a parametric analysis, mainly on the effect of the target probability, benefit, cost of failure, cost of rehabilitation, cost of monitoring and discount rate on the posterior utilities of monitoring strategies and the choice of service life considering the risk variability and the costs and benefits models. The results show that the decision on short-term monitoring, i.e., 1 week every six months, is overall the most valued SHM strategy. In addition, it is found that the target probability is the most sensitive parameter affecting the optimal SHM durations and service life extension of the welds.</p>}},
author = {{Long, Lijia and Alcover, Isaac Farreras and Thöns, Sebastian}},
issn = {{1573-2479}},
keywords = {{Fatigue; monitoring strategy; orthotropic steel deck; structural health monitoring; utility and decision theory}},
language = {{eng}},
number = {{4}},
pages = {{492--504}},
publisher = {{Taylor & Francis}},
series = {{Structure and Infrastructure Engineering}},
title = {{Utility analysis for SHM durations and service life extension of welds on steel bridge deck}},
url = {{http://dx.doi.org/10.1080/15732479.2020.1866026}},
doi = {{10.1080/15732479.2020.1866026}},
volume = {{18}},
year = {{2022}},
}