Show simple item record

dc.contributor.authorLama Salomon, Abrahamen
dc.date.accessioned2018-08-05T06:00:29Zen
dc.date.available2018-08-05T06:00:29Zen
dc.date.issued2017-02-10en
dc.identifier.othervt_gsexam:9278en
dc.identifier.urihttp://hdl.handle.net/10919/84502en
dc.description.abstractThis research introduces and applies the concept of digital state models for civil infrastructure condition assessment and structural testing. Digital state models are defined herein as any transient or permanent 3D model of an object (e.g. textured meshes and point clouds) combined with any electromagnetic radiation (e.g., visible light, infrared, X-ray) or other two-dimensional image-like representation. In this study, digital state models are built using visible light and used to document the transient state of a wide variety of structures (ranging from concrete elements to cold-formed steel columns and hot-rolled steel shear-walls) and civil infrastructures (bridges). The accuracy of digital state models was validated in comparison to traditional sensors (e.g., digital caliper, crack microscope, wire potentiometer). Overall, features measured from the 3D point clouds data presented a maximum error of ±0.10 in. (±2.5 mm); and surface features (i.e., crack widths) measured from the texture information in textured polygon meshes had a maximum error of ±0.010 in. (±0.25 mm). Results showed that digital state models have a similar performance between all specimen surface types and between laboratory and field experiments. Also, it is shown that digital state models have great potential for structural assessment by significantly improving data collection, automation, change detection, visualization, and augmented reality, with significant opportunities for commercial development. Algorithms to analyze and extract information from digital state models such as cracks, displacement, and buckling deformation are developed and tested. Finally, the extensive data sets collected in this effort are shared for research development in computer vision-based infrastructure condition assessment, eliminating the major obstacle for advancing in this field, the absence of publicly available data sets.en
dc.format.mediumETDen
dc.publisherVirginia Techen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectDigital state modelen
dc.subjectCondition assessmenten
dc.subjectNon-contact measurementen
dc.subjectComputer visionen
dc.subjectPoint clouden
dc.subjectCrack detectionen
dc.subjectChange detectionen
dc.subjectCorrosion resistanten
dc.subjectBridgeen
dc.titleDigital State Models for Infrastructure Condition Assessment and Structural Testingen
dc.typeDissertationen
dc.contributor.departmentCivil and Environmental Engineeringen
dc.description.degreePh. D.en
thesis.degree.namePh. D.en
thesis.degree.leveldoctoralen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.disciplineCivil Engineeringen
dc.contributor.committeechairMoen, Cristopher D.en
dc.contributor.committeememberLeon, Roberto T.en
dc.contributor.committeememberRoberts-Wollmann, Carin L.en
dc.contributor.committeememberParikh, Devien
dc.contributor.committeememberBatra, Dhruven


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record