文献类型：期刊文献

英文题名：Artifact suppression in ultrasonic guided wave damage imaging enhanced by topologically optimized mode selective meta-filter

作者：Tian, Xiaochuan[1];Song, Ailing[1];Cao, Zhicong[1];Peng, Siyuan[1];Li, Youcheng[1];Xiang, Yanxun[1]

机构：[1]East China Univ Sci & Technol, Sch Mech & Power Engn, Shanghai Key Lab Intelligent Sensing & Detect Tech, Shanghai 200237, Peoples R China

年份：2026

卷号：166

外文期刊名：ULTRASONICS

收录：;EI(收录号：20262020712790);WOS:【SCI-EXPANDED(收录号:WOS:001773437100001)】；

基金：This work was supported by the National Natural Science Foundation of China (Grant Nos. 12374435, 12327807, U25A20383) , the Basic Research Program of Shanghai Science and Technology Innovation Ac-tion Plan (No. 24TS1412200) .

语种：英文

外文关键词：Guided wave; Damage Imaging; Mode selection; Meta-filter; Topology optimization

摘要：In ultrasonic guided-wave inspection of plate-like structures, Lamb wave multimode interference often results imaging artifacts and reduces damage localization accuracy. To purify the ultrasonic guided-wave mode at the physical level and suppress the artifacts, this paper introduces an inverse design framework based on topology optimization and, accordingly, develops a mode selective meta-filter. Within the target frequency band near 200 kHz, the designed meta-filter effectively suppresses the A0 mode while preserving high transmission efficiency of the S0 mode. Band-structure analysis and frequency-and time-domain finite element simulations reveal the underlying mechanism of its mode-selective wave manipulation. The experimental filtering results are in excellent agreement with the numerical predictions, demonstrating both the mode purification capability and practical feasibility of the meta-filter under realistic conditions. Furthermore, by integrating the meta-filter with an improved damage imaging method, both simulation and experimental results show a pronounced enhancement in imaging focusing and a substantial reduction in background artifacts. By realizing guided-wave mode purification through physical method and avoiding complex signal post-processing, this work provides a viable solution for structural health monitoring.