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/

Global: Zendy Tools annual

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

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

A collaborative investigation between the University of Virginia (UVA) andthe Virginia Transportation Research Council was performed on the MecklenburgBridge (I-85 over Route 1 in Mecklenburg County). The research team aided theVirginia Department of Transportation - Richmond District in thecharacterization of the bridge behavior of one of the bridge beams that hadbeen repaired due to a previous web buckling and crippling failure. Theinvestigation focused on collecting full-field three-dimensional digital imagecorrelation (3D-DIC) deformation measurements during the dropping sequence(removal of jacking to support beam on bearing/pier). Additionally,measurements were taken of the section prior to and after dropping using ahandheld laser scanner to assess the potential of lateral deformation orout-of-plane buckling. Results from the study demonstrated that buckling of thetested beam did not occur, but did provided a series of approaches that can beused to evaluate the effectiveness of repaired steel beam ends. Specifically,the results provided an approach that could estimate the dead load distributionthrough back-calculation.

Computer Vision-Based Health Monitoring of Mecklenburg Bridge Using 3D Digital Image Correlation