Probabilistic fatigue life updating accounting for inspections of multiple critical locations

Maljaars, Johan; Vrouwenvelder, A.C.W.M.

doi:10.1016/j.ijfatigue.2014.06.011

Cited by 40 publications

(24 citation statements)

References 40 publications

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“…Previous research (Maljaars & Vrouwenvelder, 2014) shows that an inspection of one detail is of little use for the assessment of the remaining life of a non-monitored equal detail separated physically from the inspected detail. This holds even in case of inspections with high probability of detection.…”

Section: Description Of the Detailmentioning

confidence: 99%

“…For our application, in particular, these are the correlations between variables in the monitored and non-monitored sections of the bridge. All the variables in Table 1 are based on those presented in Maljaars and Vrouwenvelder (2014), where a fracture mechanics model of a different detail in the same type of orthotropic deck structure is provided. However, some modifications accounting for the specific detail and models are considered in this paper.…”

Section: Description Of the Detailmentioning

confidence: 99%

“…However, some modifications accounting for the specific detail and models are considered in this paper. For details regarding the original quantification of the model, the reader is referred to Maljaars and Vrouwenvelder (2014).…”

Section: Description Of the Detailmentioning

confidence: 99%

“…In the case of this research, estimates are obtained from a single expert from TNO. See also Maljaars and Vrouwenvelder (2014), Maljaars, Steenbergen, and Vrouwenvelder (2012) and Faber and Vrouwenvelder (2001) where different aspects of the uncertainty factor are treated.…”

Section: Model Uncertaintymentioning

confidence: 99%

“…The rank correlations, r, of the random variables between different locations of the detail of Section 2 are given in Table 1. These correlations were quantified by field data, using previous literature and expert opinion (as provided in Maljaars & Vrouwenvelder, 2014). The aim is at quantifying the complete dependence structure of the random variables.…”

Section: Dependence Model -Preliminaries and Contextmentioning

confidence: 99%

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Maintenance decision model for steel bridges: a case in the Netherlands

Attema

Acharige

Morales-Nápoles

et al. 2016

Structure and Infrastructure Engineering

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A probabilistic model is developed to investigate the crack growth development in welded details of orthotropic bridge decks. Bridge decks may contain many of these vulnerable details and bridge reliability cannot always be guaranteed upon the attainment of a critical crack. Therefore, insight into the crack growth development is crucial in guaranteeing bridge reliability and scheduling efficient maintenance schemes. The probabilistic nature of the crack growth development model and the dependence of this model on many interdependent random variables result in significant uncertainties regarding model outcome. To reduce some of these uncertainties, the probabilistic model is combined with a monitoring system installed on a part of the bridge. In addition, a Bayesian network is used to determine the dependence structure between the different details (monitored and non-monitored) of the bridge. This dependence structure enables us to make more accurate crack growth predictions for all details of the bridge while monitoring only a limited number of those details and updating the remaining uncertainties.

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Section: Description Of the Detailmentioning

confidence: 99%

Section: Description Of the Detailmentioning

confidence: 99%

Section: Description Of the Detailmentioning

confidence: 99%

Section: Model Uncertaintymentioning

confidence: 99%

Section: Dependence Model -Preliminaries and Contextmentioning

confidence: 99%

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Maintenance decision model for steel bridges: a case in the Netherlands

Attema

Acharige

Morales-Nápoles

et al. 2016

Structure and Infrastructure Engineering

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Probability of detection curve for the automatic visual inspection of steel bridges

Kompanets,

Leonetti,

Duits

et al. 2023

ce papers

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The damage tolerant design philosophy is based on periodical inspections and provides safe bridge operation preventing fatigue cracks from growing up to a critical size. It is possible to optimize the management costs of a bridge throughout its life by designing the inspection frequency, which depends on the capabilities of the inspection method. However, such optimization requires knowledge about the performance of inspections that are envisioned to take place during the use of the bridge. Regular visual inspections is the most frequently applied type of inspection of bridge structures. Recent advances in computer vision technologies provide a strong basis for the development of automatic damage detection systems that can support regular visual inspection, thus increasing the reliability of the inspection. Several automatic crack detection systems have been developed in the past years. However, the performances of such systems have not been evaluated in the way as for traditional non‐destructive inspection methods, i.e. in terms of probability of detection curves and detectability limits. This restricts the applicability of automatic visual inspections for inspection planning and damage tolerant design. This paper proposes an encoder‐decoder neural network for segmentation of cracks on images of steel bridges. A probability of detection curve is calculated for this neural network.

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A Methodology for Fatigue Reliability Assessment Considering Stress Range Distribution Truncation

Park

Kim

2018

Int J Steel Struct

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Probabilistic fatigue life updating accounting for inspections of multiple critical locations

Cited by 40 publications

References 40 publications

Maintenance decision model for steel bridges: a case in the Netherlands

Maintenance decision model for steel bridges: a case in the Netherlands

Probability of detection curve for the automatic visual inspection of steel bridges

A Methodology for Fatigue Reliability Assessment Considering Stress Range Distribution Truncation

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