基于散射源搜索的复合材料分层损伤定位

doi:10.19936/j.cnki.2096-8000.20260228.003

复合材料科学与工程 ›› 2026, Vol. 0 ›› Issue (2): 20-27.DOI: 10.19936/j.cnki.2096-8000.20260228.003

基于散射源搜索的复合材料分层损伤定位

叶晨璐, 周邵萍^*, 罗志, 李沁霏

华东理工大学承压系统与安全教育部重点实验室,上海 200237

收稿日期:2025-01-13 出版日期:2026-02-28 发布日期:2026-03-12
通讯作者: 周邵萍(1966—),女,博士,教授,博士生导师,研究方向为故障诊断和无损检测,shpzhou@ecust.edu.cn。
作者简介:叶晨璐(1999—),女,硕士研究生,研究方向为基于超声导波的无损检测。
基金资助:
国家自然科学基金(52175137);国家重点研发计划(2021YFB4000800)

Composite delamination damage localization based on scattering source search methods

YE Chenlu, ZHOU Shaoping^*, LUO Zhi, LI Qinfei

Key Laboratory of Pressure System and Safety, Ministry of Education, East China University of Science and Technology, Shanghai 200237, China

Received:2025-01-13 Online:2026-02-28 Published:2026-03-12

摘要/Abstract

摘要： 基于超声导波的损伤检测与定位方法被广泛应用于各种工程常见结构,然而复合材料的各向异性加剧了在其中传播的导波信号的复杂度,使得实际检测时容易出现成像区域过大、有伪像等定位精度不足的问题。本文基于延时叠加(Delay-and-Sum,DAS)原理和麻雀搜索优化算法(Sparrow Search Algorithm,SSA),设计了基于散射信号飞行时间的适应度函数,将损伤成像问题转换成散射源搜索问题,提出了一种基于超声导波和DAS-SSA散射源搜索的复合材料板分层损伤定位方法。通过适应度函数对麻雀种群分布进行评估,进一步迭代搜索,逐步逼近最有可能的散射源位置,最终以麻雀聚集处表征定位的损伤区域。实验结果表明,相较于传统成像方法,该方法的定位区域显著缩减,定位精度也有明显提升。

关键词: 超声导波, 复合材料, 分层损伤, 散射源搜索

Abstract: Ultrasonic guided wave-based damage detection and localization methods are widely applied in various engineering structures. However, the anisotropy of composite materials increases the complexity of guided wave propagation, often resulting in oversized imaging areas and false artifacts, which compromise localization accuracy. In this study, a novel damage localization method for delaminations in composite plates is proposed, integrating delay-and-sum (DAS) principles with the sparrow search algorithm (SSA). By designing a fitness function based on the time of flight (ToF) of scattered signals, the damage imaging problem is transformed into a scattering source search problem. The fitness function evaluates the sparrow population distribution, iteratively refining the search process to approximate the most probable scattering source locations. The damage region is ultimately represented by the areas of sparrow aggregation. Experimental results demonstrate that, compared to traditional imaging methods, the proposed approach significantly reduces the localization area and enhances accuracy.

Key words: ultrasonic guided wave, composite materials, delamination damage, scattering source search

中图分类号:

TB332

叶晨璐, 周邵萍, 罗志, 李沁霏. 基于散射源搜索的复合材料分层损伤定位[J]. 复合材料科学与工程, 2026, 0(2): 20-27.

YE Chenlu, ZHOU Shaoping, LUO Zhi, LI Qinfei. Composite delamination damage localization based on scattering source search methods[J]. COMPOSITES SCIENCE AND ENGINEERING, 2026, 0(2): 20-27.

参考文献

[1] JAIN M, KAPURIA S. Efficient zigzag theory-based spectral element model for guided waves in composite structures containing delaminations[J]. Composite Structures, 2023, 325: 117585.
[2] MUNIAN R K, MAHAPATRA D R, GOPALAKRISHNAN S. Ultrasonic guided wave scattering due to delamination in curved composite structures[J]. Composite Structures, 2020, 239: 111987.
[3] HERVIN F, MAIO L, FROMME P. Guided wave scattering at a delamination in a quasi-isotropic composite laminate: experiment and simulation[J]. Composite Structures, 2021, 275: 114406.
[4] ZHU F, PAN E, QIAN Z H, et al. Waves in a generally anisotropic viscoelastic composite laminated bilayer: impact of the imperfect interface from perfect to complete delamination[J]. International Journal of Solids and Structures, 2020, 202: 262-277.
[5] LI J R, LU Y, LEE Y L. Debonding detection in CFRP-reinforced steel structures using anti-symmetrical guided waves[J]. Composite Structures, 2020, 253: 112813.
[6] HERVIN F, FROMME P. Anisotropy influence on guided wave scattering for composite structure monitoring[J] Structural Health Monitoring, 2023, 22(4): 2626-2640.
[7] WANG C H, ROSE J T, CHANG F K. A synthetic time-reversal imaging method for structural health monitoring[J]. Smart Materials and Structures, 2004, 13: 415-423.
[8] QIU L, LIU M L, QING X L, et al. A quantitative multidamage monitoring method for large-scale complex composite[J]. Structural Health Monitoring, 2013, 12(3): 183-196.
[9] GAO M, FENG Y, HU X W, et al. Delamination detection in composite pipes using higher harmonic generation of flexural waves[J]. Composite Structures, 2024, 346: 118418.
[10] LIU C, XU X B, WU J, et al. Deep transfer learning-based damage detection of composite structures by fusing monitoring data with physical mechanism[J]. Engineering Applications of Artificial Intelligence, 2023, 123: 106245.
[11] TENG F Y, WEI J T, LV S S, et al. Damage localization in carbon fiber composite plate combining ultrasonic guided wave instantaneous energy characteristics and probabilistic imaging method[J]. Measurement, 2023, 221: 113443.
[12] SUN L Y, WEI J T, PENG C, et al. Ultrasonic guided wave-based probabilistic diagnostic imaging method with single-path-scattering sparse reconstruction for multi-damage detection in composite structures[J]. Mechanical Systems and Signal Processing, 2025, 223:111858.
[13] WEI J T, LV S S, SUN L Y, et al. Modified reconstruction algorithm for probabilistic inspection of damage based on damaged virtual sensing paths[J]. Mearurement, 2023, 218: 113182.
[14] PINEDA ALLEN J C, NG C T. Damage detection in composite laminates using nonlinear guided wave mixing[J]. Composite Structures, 2023, 311: 116805.
[15] 戴中豪, 周邵萍, 罗志, 等. 基于Lamb波空间反演对称破坏的无基线复合材料损伤定位[J]. 复合材料科学与工程, 2025(1): 59-66.
[16] ZHANG T, ZHANG W D, SHAO X L, et al. Research on optimization sparse method for capacitive micromachined ultrasonic transducer array: heuristic algorithm[J]. Sensor Review, 2021, 4(13): 260-270.
[17] ISMAIL Z, MUSTAPHA S, TARHINI H. Optimizing the placement of piezoelectric wafers on closed sections using a genetic algorithm-towards application in structural health monitoring[J]. Ultrasonics, 2021, 116: 106523.
[18] HUANG S Y, GUO Y Q, ZANG X L, et al. Design of ultrasonic guided wave pipeline non-destructive testing system based on adaptive wavelet threshold denoising[J]. Electronics, 2024, 13(13):2536.
[19] 王飞, 吕福在, 项贻强, 等. 非线性自适应滤波在磁致伸缩导波传感器信号处理中的应用[J]. 传感技术学报, 2010, 11: 1594-1598.
[20] CHEN H L, LIU Z H, GONG Y, et al. Evolutionary strategy-based location algorithm for high-resolution lamb wave defect detection with sparse array[J]. Structural Health Monitoring, 2021, 20(4): 2088-2109.
[21] WANG C H, ROSE J T, CHANG F K. A synthetic time-reversal imaging method for structural health monitoring[J]. Smart Materials and Structures, 2004, 13(2): 415-423.
[22] XUE J K, SHEN B. A novel swarm intelligence optimization approach: sparrow search algorithm[J]. Systems Science & Control Engineering, 2020, 8(1): 22-34.
[23] 宋春生, 李贤胜. 基于Lamb波的CFRP层合板损伤类型检测和成像研究[J]. 振动与冲击, 2024, 43(15): 63-70.

基于散射源搜索的复合材料分层损伤定位

Composite delamination damage localization based on scattering source search methods

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