A Novel Bridge Information Modeling (BrIM) Based Framework for Bridge Inspections

dc.contributor.advisor Yelda Turkan
dc.contributor.advisor Simon Laflamme
dc.contributor.author Fnu, Abhimanu
dc.contributor.department Civil, Construction, and Environmental Engineering
dc.date 2018-09-13T06:02:23.000
dc.date.accessioned 2020-06-30T03:12:05Z
dc.date.available 2020-06-30T03:12:05Z
dc.date.copyright Fri Jan 01 00:00:00 UTC 2016
dc.date.embargo 2001-01-01
dc.date.issued 2016-01-01
dc.description.abstract <p>Bridges are critical components of civil infrastructure. According to the National Bridge Inventory (NBI), there are more than ten thousand structurally deficient bridges in the United States. It becomes critical for the authorities to maintain their serviceability and reliability in order to keep the transportation system operational. Current bridge condition assessment practices are mainly based on visual inspections carried out by technical experts, which is subjective as observations and opinions may vary from one individual to another, and is expensive and prone to human errors. The main focus of this study is to help improve current inspection practices by implementing image processing algorithms to detect concrete surface cracks and integrate the results into a bridge information modeling (BrIM) based framework. Integrating crack detection algorithm results with BrIM will allow users to view and explore cracks and their properties linked to a three dimensional (3D) model of the inspected bridge component. The proposed methodology processes 2D images by adjusting pixel parameters of gray scale images and detects cracks with their dimensional aspects. It implements existing crack detection algorithms, a scaling tool to automatically measure crack dimensions, and includes a framework to integrate crack detection results with BrIM for inspecting bridges in a more efficient manner. This will enable more effective repairs and maintenance operations, saving a considerable amount of effort, time, and money.</p>
dc.format.mimetype application/pdf
dc.identifier archive/lib.dr.iastate.edu/etd/16581/
dc.identifier.articleid 7588
dc.identifier.contextkey 12816232
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath etd/16581
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/30764
dc.language.iso en
dc.source.bitstream archive/lib.dr.iastate.edu/etd/16581/FNU_iastate_0097M_15767.pdf|||Fri Jan 14 21:02:29 UTC 2022
dc.subject.disciplines Civil Engineering
dc.subject.keywords BIM
dc.subject.keywords BrIM
dc.subject.keywords Concrete
dc.subject.keywords Crack detection
dc.subject.keywords Data Integration
dc.title A Novel Bridge Information Modeling (BrIM) Based Framework for Bridge Inspections
dc.type article
dc.type.genre thesis
dspace.entity.type Publication
thesis.degree.discipline Civil Engineering
thesis.degree.level thesis
thesis.degree.name Master of Science
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