TY - JOUR
T1 - A novelty method for monitoring the corrosion extent of steel plates based on Lamb wave
AU - Wang, Yan
AU - Wang, Junliang
AU - Kong, Zhengyi
AU - Zhu, Wei
AU - Xu, Haoyu
AU - Jiang, Chao
AU - Cheng, Dongsheng
AU - Kim, Seung Eock
N1 - Publisher Copyright:
© Springer-Verlag GmbH Germany, part of Springer Nature 2023.
PY - 2024/2
Y1 - 2024/2
N2 - Corrosion significantly impacts the safety of steel structures, and neglecting its influence can lead to serious engineering accidents. In this study, a novel method for identifying the extent of corrosion on Q235 steel plates using Lamb waves is proposed. Numerical analysis of wave propagation on steel plates with varying corrosion depths and areas is conducted using COMSOL software. During the analysis, a sinusoidal modulated signal with five wave peaks is selected. Using the empirical mode decomposition, two novel corrosion identification factors, specifically the maximum amplitude based on the A0 wave packet and the energy of the Intrinsic Mode Function component, are found to be effectively reflected the extent of corrosion on steel plates. Empirical models for these two corrosion identification factors are developed as functions of corrosion areas (radius) and corrosion depths. By using the inverse operation of the suggested empirical models, it becomes possible to determine the corrosion depth and radius of the corrosion pit. To validate the proposed empirical models, experiments are conducted on Q235 steel plates subjected to accelerated corrosion testing in a 20% hydrochloric acid solution. The characteristics of wave propagation on the steel plates are investigated. A comparison between the corrosion extent predicted by the empirical models and the experimental results is made. The results demonstrates that the corrosion identification factor based on the energy of the Intrinsic Mode Function component is more accurate than the one based on the maximum amplitude of the A0 wave packet. In conclusion, the corrosion identification factor based on the energy of the Intrinsic Mode Function component can accurately predict the extent of corrosion on Q235 steel plates, and it can be effectively employed for the quantitative evaluation of corrosion extent, providing valuable insights for the safety assessment of in-service steel structures.
AB - Corrosion significantly impacts the safety of steel structures, and neglecting its influence can lead to serious engineering accidents. In this study, a novel method for identifying the extent of corrosion on Q235 steel plates using Lamb waves is proposed. Numerical analysis of wave propagation on steel plates with varying corrosion depths and areas is conducted using COMSOL software. During the analysis, a sinusoidal modulated signal with five wave peaks is selected. Using the empirical mode decomposition, two novel corrosion identification factors, specifically the maximum amplitude based on the A0 wave packet and the energy of the Intrinsic Mode Function component, are found to be effectively reflected the extent of corrosion on steel plates. Empirical models for these two corrosion identification factors are developed as functions of corrosion areas (radius) and corrosion depths. By using the inverse operation of the suggested empirical models, it becomes possible to determine the corrosion depth and radius of the corrosion pit. To validate the proposed empirical models, experiments are conducted on Q235 steel plates subjected to accelerated corrosion testing in a 20% hydrochloric acid solution. The characteristics of wave propagation on the steel plates are investigated. A comparison between the corrosion extent predicted by the empirical models and the experimental results is made. The results demonstrates that the corrosion identification factor based on the energy of the Intrinsic Mode Function component is more accurate than the one based on the maximum amplitude of the A0 wave packet. In conclusion, the corrosion identification factor based on the energy of the Intrinsic Mode Function component can accurately predict the extent of corrosion on Q235 steel plates, and it can be effectively employed for the quantitative evaluation of corrosion extent, providing valuable insights for the safety assessment of in-service steel structures.
KW - Corrosion identification factor
KW - Intrinsic mode function
KW - Lamb wave
KW - Maximum amplitude
UR - http://www.scopus.com/inward/record.url?scp=85175976124&partnerID=8YFLogxK
U2 - 10.1007/s13349-023-00737-x
DO - 10.1007/s13349-023-00737-x
M3 - Article
AN - SCOPUS:85175976124
SN - 2190-5452
VL - 14
SP - 355
EP - 367
JO - Journal of Civil Structural Health Monitoring
JF - Journal of Civil Structural Health Monitoring
IS - 2
ER -