Value of Information-Based Inspection Planning for Offshore Structures

Agusta, Arifian; Thöns, Sebastian; Leira, Bernt J.

doi:10.1115/omae2017-62493

Cited by 7 publications

(5 citation statements)

References 3 publications

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“…Liu and Frangopol [35] presented a risk-based framework for inspection scheduling that will assist decision makers achieve the maximum value of information using Bayesian theory. Their results agreed with the findings of Agusta, et al [36] that NDE methods with a higher PoD provided a higher value of information at earlier stages of the structure service life and reduced the risk of failure.…”

Section: Risk-based Methodssupporting

confidence: 91%

A Comprehensive Uncertainty-Based Framework for Inspection Planning of Highway Bridges

2021

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Bridge inspection standards in the United States require routine visual inspections to be conducted on most bridges at a maximum interval of two years regardless of the bridge condition. Limitations of this uniform calendar-based approach have been reported in the literature. Accordingly, the objective of this study is to provide a new systematic approach for inspection planning that integrates information from bridge condition prediction models, inspection data, and expert opinion using Bayesian analysis to enhance inspection efficiency and maintenance activities. The uncertainty-based inspection framework proposed in this study can help bridge owners avoid unnecessary or delayed inspections and repair actions, determine the inspection method, and consider more than one deterioration process or bridge component during the inspection planning process. The inspection time and method are determined based on the uncertainty and risks associated with the bridge condition. As uncertainty in the bridge condition reaches a defined threshold, an inspection is scheduled utilizing nondestructive techniques to reduce the uncertainty level. The framework is demonstrated on a new and on an existing reinforced concrete bridge deck impacted by corrosion deterioration. The results show that the framework can reduce the number of inspections by 50% compared to conventional scheduling methods, and the uncertainty regarding the bridge maintenance time is reduced by 16%.

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Section: Risk-based Methodssupporting

confidence: 91%

A Comprehensive Uncertainty-Based Framework for Inspection Planning of Highway Bridges

2021

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“…In the past, numerous inspection and maintenance planning methods have been developed based on quantitative deterioration models and Bayesian decision theory. 6–15 However, so far little emphasis has been put on modeling repair actions and determining their decision value characteristics.…”

Section: Introductionmentioning

confidence: 99%

Predictive information and maintenance optimization based on decision theory: a case study considering a welded joint in an offshore wind turbine support structure

Farhan

Schneider

Thöns

2021

Structural Health Monitoring

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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.

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“…In order to simplify the decision analysis, a repair action is performed only if any damage is detected by inspections. This decision rule is practical and VoI-optimal, see [22]. Repaired components are assumed to behave as components with no damage indication.…”

Section: Structural Integrity Management (Sim)mentioning

confidence: 99%

Utilization of Digital Twins and Other Numerical Relatives for Efficient Monte Carlo Simulation in Structural Analysis

Leira¹,

Agusta²,

Thöns³

2019

Theory, Application, and Implementation of Monte Carlo Method in Science and Technology

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Analysis of structures will in general involve large and complex numerical models, which require extensive computation efforts. These models are frequently referred to as digital twins. This analysis becomes particularly cumbersome for cases where a large number of response calculations are repeatedly performed, such as in the case of Monte Carlo simulation. One way of avoiding this will be to introduce simplified numerical models, which are no longer twins but some kind of more distant numerical relative. As an example of such a simplified numerical representation, a so-called response surface model can be applied in order to overcome the excessive computational efforts. Such models are also sometimes referred to as meta-models or cyber-physical models. One possible approach is to use a response surface model based on first-or second-order polynomials as approximating functions, with the function parameters being determined based on multivariate regression analysis techniques. In this chapter, various types of approximate models are first discussed in connection with a simplistic example. The application of response surface techniques is subsequently illustrated for a quite complex physicsbased structural model for an offshore jacket structure in combination with Monte Carlo simulation techniques.

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Value of Information-Based Inspection Planning for Offshore Structures

Cited by 7 publications

References 3 publications

A Comprehensive Uncertainty-Based Framework for Inspection Planning of Highway Bridges

A Comprehensive Uncertainty-Based Framework for Inspection Planning of Highway Bridges

Predictive information and maintenance optimization based on decision theory: a case study considering a welded joint in an offshore wind turbine support structure

Utilization of Digital Twins and Other Numerical Relatives for Efficient Monte Carlo Simulation in Structural Analysis

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