2002
DOI: 10.1016/s0167-4730(02)00033-4
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Indicators for inspection and maintenance planning of concrete structures

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Cited by 64 publications
(48 citation statements)
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“…Inspections of one element will influence our estimate of the condition of all elements in the zone, due to the dependency in the deterioration performance as modelled by the hyper-parameters A, see Faber and Sørensen (2002). In the following it will be demonstrated how this influence can be efficiently accounted for within the presented framework for modelling the spatial and temporal deterioration characteristics.…”
Section: Updating Of the Model With Inspection Results For Entire Zonesmentioning
confidence: 99%
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“…Inspections of one element will influence our estimate of the condition of all elements in the zone, due to the dependency in the deterioration performance as modelled by the hyper-parameters A, see Faber and Sørensen (2002). In the following it will be demonstrated how this influence can be efficiently accounted for within the presented framework for modelling the spatial and temporal deterioration characteristics.…”
Section: Updating Of the Model With Inspection Results For Entire Zonesmentioning
confidence: 99%
“…The temporal and spatial deterioration model is adopted from Faber and Sørensen (2002). The different condition states are described by the limit state functions in equations (2) The chosen discretization points are symmetrical around the mean.…”
Section: Examplementioning
confidence: 99%
“…The Bayesian updating approach can be used to incorporate information obtained from different sources at different point-in-time during long service lives, for example, either from detailed inspections and monitoring or even from the qualitative assessment methods, that is, visual inspections or service records, and so forth. An application related to concrete structures is presented by Faber and Sorensen [28], where inspection results are used to evaluate the condition states of bridges at any given time.…”
Section: Shm Supported Deterioration Predictionmentioning
confidence: 99%
“…Information can come from Condition Monitoring Systems (CMS), inspections and/or indicators. Indicators that contain indirect information (e.g., failure rates) might be formulated and updated based on Bayesian statistics, see [5].…”
Section: Damage and Uncertainty Modelingmentioning
confidence: 99%