文献类型：期刊文献

英文题名：Experimental study on dispersion analysis of guided waves based on pencil lead break actuation scanning and compressed sensing

作者：Ding, Qiyu[1];Zhou, Shaoping[1];Luo, Zhi[1];Gao, Fei[2]

机构：[1]East China Univ Sci & Technol, Sch Mech & Power Engn, Shanghai 200237, Peoples R China;[2]Beihang Univ, Sch Reliabil & Syst Engn, Beijing 100191, Peoples R China

年份：2026

卷号：37

期号：20

外文期刊名：MEASUREMENT SCIENCE AND TECHNOLOGY

收录：;EI(收录号：20262120751061);WOS:【SCI-EXPANDED(收录号:WOS:001768805300001)】；

基金：This work was supported by the Key Technologies Research and Development Program (Grant No. 2021YFB4000800), National Natural Science Foundation of China (Grant No. 52275077) and The Explorers Program of Shanghai (Basic Research Funding) (Grant No. 24TS1411900).

语种：英文

外文关键词：pencil lead breaks actuation scanning; guided waves; dispersion analysis; composite; filament wound cylinder

摘要：Accurate acquisition of dispersion characteristics is essential for ultrasonic guided wave (GW) -based structural health monitoring. However, conventional approaches often rely on dense spatial sampling and are difficult to implement in practical engineering scenarios involving complex geometries and limited sensing regions. To address this challenge, this study proposes an ultrasonic GW dispersion analysis framework that integrates pencil lead break (PLB) actuation scanning with compressed sensing (CS). A dedicated PLB excitation device is developed to transform conventional passive PLB signals into a controllable active GW source, enabling repeatable scanning measurements. To ensure timing consistency, a spatially uniform sampling-based zero-point drift correction method is introduced. Furthermore, a CS-based sparse reconstruction framework is employed to recover the frequency-wavenumber spectrum from under-sampled data, thereby significantly relaxing the spatial sampling requirement. Experimental results on aluminum plates and composite laminates demonstrate that the proposed method achieves high-fidelity dispersion reconstruction with an average error below 4.2% while reducing the required sampling points by approximately 50%. The method is further validated on carbon fiber-reinforced aluminum laminates and filament-wound hydrogen storage cylinders, confirming its effectiveness for complex composite and curved structures. These results indicate that the proposed approach provides a practical and reliable solution for dispersion characteristic acquisition under spatially constrained conditions, offering strong potential for SHM applications in real engineering structures.