Locating and Imaging Pipeline Damage Based on Frequency Spectrum of Lamb Waves
Source abstract
Abstract
Abstract Pipeline structures are widely used in many fields and play an extremely important role in social life. However, they are prone to damage during service. If not detected and addressed promptly, such damage can lead to serious consequences. Therefore, to timely assess the health status of pipeline structures, this paper presents a method for identifying pipeline damage using guided waves. This method is based on a two-dimensional probabilistic damage imaging algorithm, which is transformed into a cylindrical coordinate system through coordinate transformation. By combining the spectral peak differences in the response signals before and after pipeline damage, the method achieves damage identification and imaging. The effectiveness of the method was validated through simulations and experiments. The results showed that the damage localization errors were 9.82 mm in simulations and 14.72 mm in experiments, respectively. These results demonstrate significant value for pipeline damage detection research.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Ultrasonics and Acoustic Wave Propagation · Structural Health Monitoring Techniques · Seismic Waves and Analysis
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (37)
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