Boosting nonlinear ultrasonic detection performance: a framework combining coded excitation and sequence filtering for weak nonlinear feature enhancement

Ultrasonic techniques are widely employed in ensuring structural safety. Traditional ultrasonic techniques are effective for detecting macro-damage yet struggle with early-stage micro-damage. Nonlinear ultrasonic techniques offer promising technical solutions for early-stage micro-damage detection and imaging in structural components. However, the intrinsic weakness of nonlinear features may lead to measurement inaccuracies or imaging artifacts, hindering practical engineering applications. To combat this, a framework integrating pulse compression with coded excitation is proposed to enhance nonlinear acoustic field energy. Specifically, complementary Golay sequences are employed for phase-coded excitation, boosting average transmitting power without increasing peak power. While considering the need to retain the nonlinear features, a sequence filter is used to replace the conventional matched filter to preserve the second harmonic component during signal decoding. Simulations and experiments validate the method’s efficacy in material nonlinearity assessment and micro-damage imaging, demonstrating improved nonlinear feature extraction, artifact suppression, and imaging quality. This work applies coded excitation/decoding techniques to the field of nonlinear ultrasound, significantly enhancing micro-damage detection performance and paving a promising way for early damage assessment in practical engineering structures.

Authors

Institutions

Publication Details

Journal
Structural Health Monitoring
Published
2026-01-13
DOI
https://doi.org/10.1177/14759217251410970
Primary Topic
Ultrasonics and Acoustic Wave Propagation
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Boosting nonlinear ultrasonic detection performance: a framework combining coded excitation and sequence filtering for weak nonlinear feature enhancement

Lishuai Liu, Haiming Xu, Siyuan Peng, Yanxun Xiang
Structural Health Monitoring
Ultrasonics and Acoustic Wave Propagation
article

Boosting nonlinear ultrasonic detection performance: a framework combining coded excitation and sequence filtering for weak nonlinear feature enhancement

Lishuai Liu, Haiming Xu, Siyuan Peng, Yanxun Xiang
article en

Abstract

Ultrasonic techniques are widely employed in ensuring structural safety. Traditional ultrasonic techniques are effective for detecting macro-damage yet struggle with early-stage micro-damage. Nonlinear ultrasonic techniques offer promising technical solutions for early-stage micro-damage detection and imaging in structural components. However, the intrinsic weakness of nonlinear features may lead to measurement inaccuracies or imaging artifacts, hindering practical engineering applications. To combat this, a framework integrating pulse compression with coded excitation is proposed to enhance nonlinear acoustic field energy. Specifically, complementary Golay sequences are employed for phase-coded excitation, boosting average transmitting power without increasing peak power. While considering the need to retain the nonlinear features, a sequence filter is used to replace the conventional matched filter to preserve the second harmonic component during signal decoding. Simulations and experiments validate the method’s efficacy in material nonlinearity assessment and micro-damage imaging, demonstrating improved nonlinear feature extraction, artifact suppression, and imaging quality. This work applies coded excitation/decoding techniques to the field of nonlinear ultrasound, significantly enhancing micro-damage detection performance and paving a promising way for early damage assessment in practical engineering structures.

Structural Health Monitoring
East China University of Science and Technology (CN), China University of Mining and Technology (CN)
Affordable and clean energy
Openalex Percentile: Top 88%
Ultrasonics and Acoustic Wave Propagation
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Boosting nonlinear ultrasonic detection performance: a framework combining coded excitation and sequence filtering for weak nonlinear feature enhancement — Lishuai Liu, Haiming Xu, et al. · Structural Health Monitoring (2026) | TGRS Research Map | TGRS