Evaluation of impact energy in composites using acoustic emission sensing technique

被引:0
|
作者
Ai, Li [1 ]
Mesaric, Tanner [2 ]
Flowers, Sydney [2 ]
Houck, Sydney [3 ]
Widawsky, Joshua [4 ]
Ziehl, Paul [1 ,3 ,4 ]
机构
[1] Univ South Carolina, Dept Civil & Environm Engn, Columbia, SC 29208 USA
[2] Univ South Carolina, Dept Integrated Informat Technol, Columbia, SC USA
[3] Univ South Carolina, Dept Mech Engn, Columbia, SC USA
[4] Univ South Carolina, McNair Aerosp Ctr, Columbia, SC USA
关键词
composites; impact; acoustic emission; compression after impact; DAMAGE;
D O I
10.1088/1361-6501/ad9d6a
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
A major challenge faced by composite materials is impact, which can result in unexpected damage and degradation. Impact events can cause significant structural damage that may not be immediately visible, leading to a reduction in the material's mechanical properties and overall performance. This paper presents an impact assessment method using acoustic emission (AE) sensing technology. The primary goal of this approach is to determine the extent of impact damage on composite components by analyzing AE signals produced under operating stress conditions. An advanced algorithm is proposed to predict the probability that the damage falls into various damage categories, providing a detailed assessment of the material's condition. For validation, a series of composite panels were manufactured and subjected to controlled impact and subsequent compression after impact tests. The AE signals gathered during these tests provided initial validation for the proposed method, showcasing its potential for accurately assessing impact damage. The results demonstrate that AE sensing technology, combined with advanced algorithmic analysis, has the potential to be an effective tool for monitoring the integrity of composite materials and ensuring their reliability in critical applications.
引用
收藏
页数:10
相关论文
共 50 条
  • [41] Damage monitoring of carbon fibre reinforced polymer composites using acoustic emission technique and deep learning
    Barile, Claudia
    Casavola, Caterina
    Pappalettera, Giovanni
    Kannan, Vimalathithan Paramsamy
    COMPOSITE STRUCTURES, 2022, 292
  • [42] Using acoustic emission memory of composites in critical stress control in rock masses
    V. L. Shkuratnik
    P. V. Nikolenko
    Journal of Mining Science, 2013, 49 : 544 - 549
  • [43] Using Acoustic Emission Memory of Composites in Critical Stress Control in Rock Masses
    Shkuratnik, V. L.
    Nikolenko, P. V.
    JOURNAL OF MINING SCIENCE, 2013, 49 (04) : 544 - 549
  • [44] Damage monitoring of carbon fibre reinforced polymer composites using acoustic emission technique and deep learning
    Barile, Claudia
    Casavola, Caterina
    Pappalettera, Giovanni
    Kannan, Vimalathithan Paramsamy
    COMPOSITE STRUCTURES, 2022, 292
  • [45] Rapid evaluation of the fatigue limit in composites using infrared lock-in thermography and acoustic emission
    Kordatos, E. Z.
    Dassios, K. G.
    Aggelis, D. G.
    Matikas, T. E.
    MECHANICS RESEARCH COMMUNICATIONS, 2013, 54 : 14 - 20
  • [46] Detection of the point of impact on a stiffened plate by the acoustic emission technique
    Kundu, Tribikram
    Das, Samik
    Jata, Kumar V.
    SMART MATERIALS AND STRUCTURES, 2009, 18 (03)
  • [47] Application of the Lamb Wave Mode of Acoustic Emission for Monitoring Impact Damage in Plate Structures
    Xu, Baochun
    Huang, Jiacai
    Jie, Yachun
    SENSORS, 2023, 23 (20)
  • [48] Defects Visualization Using Acoustic Emission Tomography Technique
    Cheng, Yan
    Hagan, Paul C.
    Mitra, Rudrajit
    Wang, Shuren
    ACI MATERIALS JOURNAL, 2015, 112 (06) : 755 - 766
  • [49] DIAGNOSTICS OF RAILWAY OBJECTS USING ACOUSTIC EMISSION TECHNIQUE
    Muraviev, Vitaly
    Myraviev, Timofey
    EUROPEAN NDT DAYS IN PRAGUE 2007: NDE FOR SAFETY, PROCEEDINGS, 2007, : 175 - 182
  • [50] Early Shell Crack Detection Technique Using Acoustic Emission Energy Parameter Blast Furnaces
    Kim, Dong-Hyun
    Lee, Sang-Bum
    Bae, Dong-Myung
    Yang, Bo-Suk
    JOURNAL OF THE KOREAN SOCIETY FOR NONDESTRUCTIVE TESTING, 2016, 36 (01) : 45 - 52