Title:
Automated Procedure to Identify Concrete Defects from Impact-Echo Data
Author(s):
Zachary W. Coleman and Anton K. Schindler
Publication:
Materials Journal
Volume:
120
Issue:
6
Appears on pages(s):
95-106
Keywords:
bridge decks; condition assessment; corrosion; delamination; nondestructive testing; voids
DOI:
10.14359/51739149
Date:
12/1/2023
Abstract:
In this study, a procedure for interpreting impact-echo data in an
automated, simple manner for detecting defects in concrete bridge
decks is presented. Such a procedure is needed because it can
be challenging for inexperienced impact-echo users to correctly
distinguish between sound and defective concrete. This data interpretation procedure was developed considering the statistical
nature of impact-echo data in a manner to allow impact-echo users
of all skill levels to understand and implement the procedure. The
developed method predominantly relies on conducting segmented
linear regression analysis of the cumulative probabilities of an
impact-echo data set to identify frequency thresholds distinguishing
sound concrete from defective concrete. The accuracy of
this method was validated using two case studies of five slab specimens and a full-scale bridge deck, each containing various typical defects. The developed procedure was found to be able to predict the condition of the slab specimens containing shallow delaminations without human assistance within 3.1 percentage points of the maximum attainable accuracy. It was also able to correctly predict the condition of the full-scale bridge deck containing delaminations, voids, corrosion damage, concrete deterioration, and poorly constructed concrete within 3.5 percentage points of the maximum attainable accuracy.
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