<?xml version="1.1" encoding="utf-8"?>
<article xsi:noNamespaceSchemaLocation="http://jats.nlm.nih.gov/publishing/1.1/xsd/JATS-journalpublishing1-mathml3.xsd" dtd-version="1.1" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><front><journal-meta><journal-id journal-id-type="publisher-id">ERA</journal-id><journal-title-group><journal-title>Engineering Research and Application</journal-title></journal-title-group><issn>2995-3154</issn><eissn>2993-2742</eissn><publisher><publisher-name>Art and Technology</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.61369/ERA.2026040042</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>基于超声导波信号的复合材料铝蜂窝夹芯结构损伤检测</title><url>https://artdesignp.com/journal/ERA/4/4/10.61369/ERA.2026040042</url><author>齐万年,张佳奇,白洛嘉</author><pub-date pub-type="publication-year"><year>2026</year></pub-date><volume>4</volume><issue>4</issue><history><date date-type="pub"><published-time>2026-04-20</published-time></date></history><abstract>针对复合材料铝蜂窝夹芯结构损伤，本文首先通过有限元仿真软件建立复合材料铝蜂窝夹芯结构模型，并分别设置无损状态与含损伤状态，模拟导波在结构中的传播过程。激励信号采用中心频率为150kHz 的5周期汉宁窗调制正弦波，对比无损与损伤状态下信号波形的差异，再进行包络分析并通过时域能量计算构建损伤因子。制备含不同尺寸预制裂纹的试件，利用压电陶瓷传感器布置构成传感器检测路径，实现结构损伤检测。仿真和试验验证结果表明，上述方法能够有效诊断出复合材料铝蜂窝夹芯结构碳纤维面板损伤，构建的损伤因子与缺陷尺寸呈显著正相关。研究结果验证了导波反射特征在复合材料铝蜂窝夹心结构损伤识别中的应用潜力。</abstract><keywords>复合材料,铝蜂窝,夹芯结构,超声导波,损伤因子</keywords></article-meta></front><body/><back><ref-list><ref id="B1" content-type="article"><label>1</label><element-citation publication-type="journal"><p>[1] 王彤, 桑旭, 舒承程, 等. 疲劳强度驱动的地铁车辆车体轻量化设计[J]. 电力机车与城轨车辆,2026,49(01):44-48+53.DOI:10.16212/j.cnki.1672-1187.2026.01.007.[2] 马嘉欣. 碳纤维蜂窝夹芯结构车体强度分析及优化.2024. 大连交通大学,MA thesis.doi:10.26990/d.cnki.gsltc.2024.000444.[3] 金哈申. 关键结构区域内损伤及其扩展的超声导波定量监测方法研究[D]. 厦门大学,2021.DOI:10.27424/d.cnki.gxmdu.2021.000346.[4] 李涵, 夏浩. 超声导波技术在化工压力管道无损检测中的应用[J]. 化工管理,2025,(32):113-116.DOI:10.19900/j.cnki.ISSN1008-4800.2025.32.029.[5] ian A, Han X, Islam S, Newaz G. Fatigue damage detection in graphite/epoxy composites using sonicinfrared imaging technique. Compos Sci Technol 2004;64(5):657&amp;ndash;66[6]Qing XLP, et al.&amp;rdquo;A real-time active smart patch system for monitoring the integrity of bonded repair on an aircraft structure.&amp;rdquo;Smart Materials &amp;amp; Structures 15.3(2006):N66-N73.doi:10.1088/0964-1726/15/3/N03.[7]Qing P X ,Beard S ,Shen B S , et al.Development of a real-time active pipeline integrity detection system[J].Smart Materials and Structures,2009,18(11):115010 (10pp). DOI:10.1088/0964-1726/18/11/115010.[8] Qing X., Li W., Wang Y., et al. Piezoelectric transducer-based structural health monitoring for aircraft applications[J]. Sensors, 2019, 19(3):545.[9] Moser F., Jacobs L.J., Qu J. Modeling elastic wave propagation in waveguides with the finite element method[J]. NDT &amp;amp; E International, 1999, 32(4):225&amp;ndash;234.[10] Giurgiutiu V. Structural health monitoring with piezoelectric wafer active sensors[M]. Elsevier, 2014.．[11] WU Zhanjun，LIU Kehai，WANG Yishou，et al．Validation and evaluation of damage identification using probability-based diagnostic imaging on a stiffened compositepanel[J]．Journal of Intelligent Material Systems &amp;amp; Structures，2014，26(16)：2181-2195．[12] LIU Kehai., MA Shuyi., WU Zhanjun., et al. A novel probability-based diagnostic imaging with weight compensation for damage localization using guided waves[J]. Structural Health Monitoring, 2016, 15(2):162&amp;ndash;173.</p><pub-id pub-id-type="doi"/></element-citation></ref></ref-list></back></article>
