Development of residual operational deflection shape for crack detection in structures

被引:34
|
作者
Asnaashari, Erfan [1 ]
Sinha, Jyoti K. [1 ]
机构
[1] Univ Manchester, Sch Mech Aerosp & Civil Engn, Manchester M13 9PL, Lancs, England
关键词
Crack detection; Crack breathing; Modal analysis; Operational deflection shape; DAMAGE DETECTION; FATIGUE CRACKS; BEAMS; BEHAVIOR;
D O I
10.1016/j.ymssp.2013.10.003
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
Excitation of a cracked structure at a frequency always generates higher harmonic components of the exciting frequency due to the breathing of the crack. In this paper, the deflection of cracked structures at the exciting frequency and the second harmonic component is mapped by a new method based on the operational deflection shape (ODS) for the purpose of crack detection. While the ODS is helpful in understanding dynamic behaviour of structures and machines, it is not always possible to determine the location of cracks in structures or machines based on the ODS itself. Therefore, a new concept called residual ODS (R-ODS) has been defined for crack detection in beam-like structures. This paper presents the details of the proposed method and its results when applied to numerical and experimental examples. (C) 2013 Elsevier Ltd. All rights reserved.
引用
收藏
页码:113 / 123
页数:11
相关论文
共 50 条
  • [41] Stress Corrosion Crack Shape Development Using AFEA
    Rudland, D.
    Csontos, A.
    Shim, D. -J.
    JOURNAL OF PRESSURE VESSEL TECHNOLOGY-TRANSACTIONS OF THE ASME, 2010, 132 (01): : 0114061 - 0114067
  • [42] Generalised local entropy analysis for crack detection in beam-like structures
    Yang, Zhibo
    Chen, Xuefeng
    Jiang, Yongying
    He, Zhengjia
    NONDESTRUCTIVE TESTING AND EVALUATION, 2014, 29 (02) : 133 - 153
  • [43] Generative AI-Driven Data Augmentation for Crack Detection in Physical Structures
    Kim, Jinwook
    Seon, Joonho
    Kim, Soohyun
    Sun, Youngghyu
    Lee, Seongwoo
    Kim, Jeongho
    Hwang, Byungsun
    Kim, Jinyoung
    ELECTRONICS, 2024, 13 (19)
  • [44] Multiple crack damage detection of structures using the two crack transfer matrix
    Nandakumar, P.
    Shankar, K.
    STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL, 2014, 13 (05): : 548 - 561
  • [45] Fatigue Crack Detection in Vibrating Structures Using Outlier Detection Analysis
    Rehman, A. U.
    Worden, K.
    Rongong, J. A.
    PROCEEDINGS OF THE 8TH INTERNATIONAL CONFERENCE ON STRUCTURAL DYNAMICS, EURODYN 2011, 2011, : 2298 - 2303
  • [46] A nonlinear acoustic technique for crack detection in metallic structures
    Dutta, D.
    Sohn, H.
    Harries, K.
    Rizzo, P.
    HEALTH MONITORING OF STRUCTURAL AND BIOLOGICAL SYSTEMS 2008, 2008, 6935
  • [47] Crack detection in metallic structures using piezoceramic sensors
    Biemans, C
    Staszewski, WJ
    Boller, C
    Tomlinson, GR
    DAMAS 99: DAMAGE ASSESSMENT OF STRUCTURES, 1999, 167-1 : 112 - 121
  • [48] Bayesian approach to breathing crack detection in beam structures
    Smith, Shushannah
    Wang, Gang
    Wu, Dongsheng
    ENGINEERING STRUCTURES, 2017, 148 : 829 - 838
  • [49] Deep neural networks for crack detection inside structures
    Fatahlla Moreh
    Hao Lyu
    Zarghaam Haider Rizvi
    Frank Wuttke
    Scientific Reports, 14
  • [50] Crack detection in dielectric structures by a linear sampling approach
    Bozza, G.
    Brignone, M.
    Pastorino, M.
    Piana, M.
    Randazzo, A.
    INTERNATIONAL JOURNAL OF SIGNAL AND IMAGING SYSTEMS ENGINEERING, 2010, 3 (02) : 73 - 80