Abstract

Impact sounding has been recognized as an effective technique to detect delamination in concrete structures, such as concrete decks. An enormous amount of sounding data can be generated/collected by the autonomous inspection systems equipped with impactors and microphones. However, the main challenge in the practical application of this technology is the development of advanced data analysis approaches for identifying defects from impact sounding data. In this study, the empirical mode decomposition (EMD) analysis and power-spectral density (PSD) analysis are combined to extract useful features of sounding data generated by the impact hammer. It has been found that the EMD method can effectively eliminate noise from the captured data during the identification of features such as the fundamental frequency. Based on extracted features, a defect contour of the inspected structure can be generated for fast decision making and reliable inspection ratings of concrete structures.

Department(s)

Civil, Architectural and Environmental Engineering

Research Center/Lab(s)

INSPIRE - University Transportation Center

Sponsor(s)

Office of the Assistant Secretary for Research and Technology U.S. Department of Transportation 1200 New Jersey Avenue, SE Washington, DC 20590

Comments

Principal Investigator: Anil K. Agrawal

Co-Principal Investigators: Jizhong Xiao

Grant #: USDOT # 69A3551747126

Grant Period: 11/30/2016 - 09/30/2024

Project Period: 03/31/2017 - 03/31/2020

The investigation was conducted in cooperation with the U. S. Department of Transportation.

Report Number

INSPIRE - 005

Document Type

Technical Report

Document Version

Final Version

File Type

text

Language(s)

English

Rights

© 2025 Missouri University of Science and Technology, All rights reserved.

Publication Date

March 31, 2020

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