Signal-Processing Procedure for Preliminary Concrete Anomaly Screening Based on Continuous Sliding Acoustic Excitation

Internal discontinuities in concrete walls are hidden conditions that can compromise local structural capacity and durability. Rapid and objective on-site anomaly screening is therefore important for structural integrity evaluation. This paper presents a signal-processing procedure for preliminary concrete anomaly screening based on continuous sliding acoustic excitation. Acoustic signals were collected from local reference baseline regions and candidate anomaly regions along defined paths on an in-service reinforced-concrete flue wall. Time-domain waveforms, frequency-domain spectra, and short-time Fourier transform (STFT) distributions were combined to characterize the differences between reference baseline and candidate anomaly regions. Reference signals showed comparatively stable envelopes and concentrated spectral energy, whereas candidate anomaly regions exhibited greater amplitude dispersion, broader spectral distributions, and more pronounced non-stationary time–frequency features. A relative-variation screening workflow based on amplitude, spectral energy, and time–frequency features was formulated. The workflow supports the transition from subjective auditory judgment to quantitative signal analysis and is intended as an efficient Tier-1 preliminary screening approach for concrete structures. Because no destructive coring or paired NDT confirmation was performed on this in-service structure, the detected regions are designated strictly as candidate anomalies rather than confirmed voids.

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Publication Details

Journal
Sensors
Published
2026-09-24
DOI
https://doi.org/10.3390/s26196050
Primary Topic
Structural Health Monitoring Techniques
Type
article
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Signal-Processing Procedure for Preliminary Concrete Anomaly Screening Based on Continuous Sliding Acoustic Excitation

Bochen Sheng, Wenlong Zhang, Shibin Teng, Qilong Xu
Sensors
Structural Health Monitoring Techniques
article

Signal-Processing Procedure for Preliminary Concrete Anomaly Screening Based on Continuous Sliding Acoustic Excitation

Bochen Sheng, Wenlong Zhang, Shibin Teng, Qilong Xu
article en

Abstract

Internal discontinuities in concrete walls are hidden conditions that can compromise local structural capacity and durability. Rapid and objective on-site anomaly screening is therefore important for structural integrity evaluation. This paper presents a signal-processing procedure for preliminary concrete anomaly screening based on continuous sliding acoustic excitation. Acoustic signals were collected from local reference baseline regions and candidate anomaly regions along defined paths on an in-service reinforced-concrete flue wall. Time-domain waveforms, frequency-domain spectra, and short-time Fourier transform (STFT) distributions were combined to characterize the differences between reference baseline and candidate anomaly regions. Reference signals showed comparatively stable envelopes and concentrated spectral energy, whereas candidate anomaly regions exhibited greater amplitude dispersion, broader spectral distributions, and more pronounced non-stationary time–frequency features. A relative-variation screening workflow based on amplitude, spectral energy, and time–frequency features was formulated. The workflow supports the transition from subjective auditory judgment to quantitative signal analysis and is intended as an efficient Tier-1 preliminary screening approach for concrete structures. Because no destructive coring or paired NDT confirmation was performed on this in-service structure, the detected regions are designated strictly as candidate anomalies rather than confirmed voids.

SensorsVol. 26(19)
Qingdao Huanghai University (CN)
Sustainable cities and communities
Openalex Percentile: Top 17%
Structural Health Monitoring Techniques
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Signal-Processing Procedure for Preliminary Concrete Anomaly Screening Based on Continuous Sliding Acoustic Excitation — Bochen Sheng, Wenlong Zhang, et al. · Sensors (2026) | TGRS Research Map | TGRS