Predictive information and maintenance optimization based on decision theory : a case study considering a welded joint in an offshore wind turbine support structure
(2022) In Structural Health Monitoring 21(1). p.185-207- Abstract
Predictive information and maintenance optimization for deteriorating structures is concerned with scheduling (a) the collection of information by inspection and monitoring and (b) maintenance actions such as repair, replacement, and retrofitting based on updated predictions of the future condition of the structural system. In this article, we consider the problem of jointly identifying—at the beginning of the service life—the optimal inspection time and repair strategy for a generic welded joint in a generic offshore wind turbine structure subject to fatigue. The optimization is performed based on different types of decision analyses including value of information analyses to quantify the expected service life cost encompassing... (More)
Predictive information and maintenance optimization for deteriorating structures is concerned with scheduling (a) the collection of information by inspection and monitoring and (b) maintenance actions such as repair, replacement, and retrofitting based on updated predictions of the future condition of the structural system. In this article, we consider the problem of jointly identifying—at the beginning of the service life—the optimal inspection time and repair strategy for a generic welded joint in a generic offshore wind turbine structure subject to fatigue. The optimization is performed based on different types of decision analyses including value of information analyses to quantify the expected service life cost encompassing inspection, repair, and fatigue damage for all relevant combinations of inspection time, repair method, and repair time. Based on the analysis of the expected service life cost, the optimal inspection time, repair method, and repair time are identified. Possible repair methods for a welded joint in an offshore environment include welding and grinding, for which detailed models are formulated and utilized to update the joint’s fatigue performance. The decision analyses reveal that an inspection should be scheduled approximately at mid-service life of the welded joint. A repair should be performed in the same year after an indication and measurement of a fatigue crack given an optimal inspection scheduling. This article concludes with a discussion on the results obtained from the decision and value of information analyses.
(Less)
- author
- Farhan, Muhammad ; Schneider, Ronald and Thöns, Sebastian LU
- organization
- publishing date
- 2022
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- decision theory, fatigue, fracture mechanics, Integrity management, predictive maintenance, reliability, value of information, wind turbine support structure
- in
- Structural Health Monitoring
- volume
- 21
- issue
- 1
- pages
- 185 - 207
- publisher
- SAGE Publications
- external identifiers
-
- scopus:85100582830
- ISSN
- 1475-9217
- DOI
- 10.1177/1475921720981833
- language
- English
- LU publication?
- yes
- id
- 76a5ac0c-ed92-4c1d-9331-c0313ad4df77
- date added to LUP
- 2021-02-22 08:06:11
- date last changed
- 2022-06-29 19:23:06
@article{76a5ac0c-ed92-4c1d-9331-c0313ad4df77,
abstract = {{<p>Predictive information and maintenance optimization for deteriorating structures is concerned with scheduling (a) the collection of information by inspection and monitoring and (b) maintenance actions such as repair, replacement, and retrofitting based on updated predictions of the future condition of the structural system. In this article, we consider the problem of jointly identifying—at the beginning of the service life—the optimal inspection time and repair strategy for a generic welded joint in a generic offshore wind turbine structure subject to fatigue. The optimization is performed based on different types of decision analyses including value of information analyses to quantify the expected service life cost encompassing inspection, repair, and fatigue damage for all relevant combinations of inspection time, repair method, and repair time. Based on the analysis of the expected service life cost, the optimal inspection time, repair method, and repair time are identified. Possible repair methods for a welded joint in an offshore environment include welding and grinding, for which detailed models are formulated and utilized to update the joint’s fatigue performance. The decision analyses reveal that an inspection should be scheduled approximately at mid-service life of the welded joint. A repair should be performed in the same year after an indication and measurement of a fatigue crack given an optimal inspection scheduling. This article concludes with a discussion on the results obtained from the decision and value of information analyses.</p>}},
author = {{Farhan, Muhammad and Schneider, Ronald and Thöns, Sebastian}},
issn = {{1475-9217}},
keywords = {{decision theory; fatigue; fracture mechanics; Integrity management; predictive maintenance; reliability; value of information; wind turbine support structure}},
language = {{eng}},
number = {{1}},
pages = {{185--207}},
publisher = {{SAGE Publications}},
series = {{Structural Health Monitoring}},
title = {{Predictive information and maintenance optimization based on decision theory : a case study considering a welded joint in an offshore wind turbine support structure}},
url = {{http://dx.doi.org/10.1177/1475921720981833}},
doi = {{10.1177/1475921720981833}},
volume = {{21}},
year = {{2022}},
}