Title:
GPR data processing for reinforced concrete bridge decks

dc.contributor.advisor Zhang, Ying
dc.contributor.author Wei, Xiangmin
dc.contributor.committeeMember Scott, Waymond R.
dc.contributor.committeeMember AlRegib, Ghassan
dc.contributor.committeeMember Peterson, Andrew F.
dc.contributor.committeeMember Wang, Yang
dc.contributor.department Electrical and Computer Engineering
dc.date.accessioned 2015-01-12T20:52:09Z
dc.date.available 2015-01-12T20:52:09Z
dc.date.created 2014-12
dc.date.issued 2014-11-13
dc.date.submitted December 2014
dc.date.updated 2015-01-12T20:52:09Z
dc.description.abstract In this thesis, several aspects of GPR data processing for RC bridge decks are studied. First, autofocusing techniques are proposed to replace the previous expensive and unreliable human visual inspections during the iterative migration process for the estimation of the velocity/dielectric permittivity distribution from GPR data. Second, F-K filtering with dip relaxation is proposed for interference removal that is important for both imaging and the performance of post-processing techniques including autofocusing techniques and CS-based migration studied in this thesis. The targeted interferes here are direct waves and cross rebar reflections. The introduced dip relaxation is for accommodating surface roughness and medium inhomogeneity. Third, the newly developed CS-based migration is modified and evaluated on GPR data from RC bridge decks. A more accurate model by accounting for impulse waveform distortion that leads to less modeling errors is proposed. The impact of the selection of the regularization parameter on the comparative amplitude reservation and the imaging performance is also investigated, and an approach to preserve the comparative amplitude information while still maintaining a clear image is proposed. Moreover, the potential of initially sampling the time-spatial data with uniform sampling rates lower than that required by traditional migration methods is evaluated.
dc.description.degree Ph.D.
dc.format.mimetype application/pdf
dc.identifier.uri http://hdl.handle.net/1853/53066
dc.language.iso en_US
dc.publisher Georgia Institute of Technology
dc.subject Ground penetrating radar
dc.subject Image processing
dc.subject Non-destructive evaluation
dc.subject Autofocusing
dc.subject F-K filter
dc.subject Reinforced concrete bridge deck
dc.subject Compressive sensing
dc.subject Migration
dc.subject Velocity analysis
dc.title GPR data processing for reinforced concrete bridge decks
dc.type Text
dc.type.genre Dissertation
dspace.entity.type Publication
local.contributor.advisor Zhang, Ying
local.contributor.corporatename School of Electrical and Computer Engineering
local.contributor.corporatename College of Engineering
relation.isAdvisorOfPublication c8db6e3e-6bee-4fa1-912c-f8f6817a96a3
relation.isOrgUnitOfPublication 5b7adef2-447c-4270-b9fc-846bd76f80f2
relation.isOrgUnitOfPublication 7c022d60-21d5-497c-b552-95e489a06569
thesis.degree.level Doctoral
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