English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Zendy Plus

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Zendy Tools

Zendy Open

Ground penetrating radar (GPR) is an efficient technique used for rapidlyrecognizing embedded rebar in concrete structures. However, due to thedifficulty in extracting signals from GPR data and the intrinsic couplingbetween the rebar depth and size showing in the data, simultaneouslydetermining rebar depth and size is challenging. This paper proposes aninnovative algorithm to address this issue. First, the hyperbola signal fromthe GPR data is identified by direct wave removal, signal reconstruction andseparation. Subsequently, a database is developed from a series of theoreticalhyperbolas and then compared with the extracted hyperbola outlines. Finally,the rebar depth and size are determined by searching for the closestcounterpart in the database. The obtained results are very promising andindicate that: (1) implementing the method presented in this paper cancompletely remove the direct wave noise from the GPR data, and can successfullyextract the outlines from the interlaced hyperbolas; and (2) the proposedmethod can simultaneously determine the rebar depth and size with the accuracyof 100% and 95.11%, respectively.

An Innovative Approach to Determine Rebar Depth and Size by Comparing GPR Data with a Theoretical Database