Visual inspection and bridge management

Simple item page
dc.availability.bitstreamopenaccess
dc.contributor.advisorMurphy, Jimmyen
dc.contributor.advisorexternalPakrashi, Vikramen
dc.contributor.authorQuirk, Lucy
dc.date.accessioned2021-01-11T12:54:42Z
dc.date.available2021-01-11T12:54:42Z
dc.date.issued2020-10-29
dc.date.submitted2020-10-29
dc.description.abstractThis thesis estimates the impact of visual inspection prior to its implementation in a Bridge Management System (BMS) using Value of Information (VoI). Visual inspection is the principal assessment method for bridge structures, whereby a condition rating is assigned reflecting the structural condition of a bridge, based on the judgements of a trained inspector. The impact of data collected from visual inspection is contingent on its ability to guide towards optimal maintenance decisions throughout the lifecycle to maximise network performance. The VoI concept from Bayesian pre- posterior analysis is defined as the quantification of the reduction of uncertainty in a decision-making problem, after new information is received. This concept has seen multifaceted applications in the optimisation of Structural Health Monitoring techniques, typically focussing on the ability to monitor a specific parameter to determine the degradation rate and condition of a single asset. The merits of visual inspection data have been largely overlooked thus far. This work outlines and applies a framework to put a measure on the impact that visual inspection provides to infrastructure asset managers operating a BMS, and to illustrate how this is influenced by the underlying uncertainties of the model parameters.en
dc.description.statusNot peer revieweden
dc.description.versionAccepted Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationQuirk, L. 2020. Visual inspection and bridge management. MRes Thesis, University College Cork.en
dc.identifier.endpage68en
dc.identifier.urihttps://hdl.handle.net/10468/10887
dc.language.isoenen
dc.publisherUniversity College Corken
dc.rights© 2020, Lucy Quirk.en
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/en
dc.subjectBridge management systemen
dc.subjectValue of informationen
dc.subjectCondition ratingen
dc.titleVisual inspection and bridge managementen
dc.typeMasters thesis (Research)en
dc.type.qualificationlevelMastersen
dc.type.qualificationnameMRes - Master of Researchen
Files
Original bundle
Now showing 1 - 2 of 2
Thumbnail Image
Name:
QuirkLM_MRes2020.docx
Size:
520.6 KB
Format:
Microsoft Word XML
Description:
Full Text E-thesis (Word)
Thumbnail Image
Name:
QuirkLM_MRes2020.pdf
Size:
2.42 MB
Format:
Adobe Portable Document Format
Description:
Full Text E-thesis
Download
License bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
license.txt
Size:
5.2 KB
Format:
Item-specific license agreed upon to submission
Description:
Download
Collections
Research Theses Submission
Centre for Marine and Renewable Energy (MaREI) - Masters by Research Theses
College of Science, Engineering and Food Science - Masters by Research Theses
Energy Engineering - Masters by Research Theses