Structural Damage Identification Using Mode Shape Slope and Curvature

被引:41
|
作者
Roy, Koushik [1 ]
机构
[1] Indian Inst Technol Patna, Dept Civil & Environm Engn, Patna 801103, Bihar, India
关键词
Structural health monitoring; Eigenvalue analysis; Damage localization; Mode shape derivatives; Shear building; Modal parameter identification; EIGENSYSTEM REALIZATION-ALGORITHM; NATURAL EXCITATION TECHNIQUE; BEAM; DERIVATIVES; FREQUENCY;
D O I
10.1061/(ASCE)EM.1943-7889.0001305
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
Mode shape-based structural damage detection is an emerging field of research. This study presents a vibration-based damage localization technique using the derivatives of mode shapes corresponding to undamaged and damaged states of a structure. First, mathematical expressions of the derivatives of mode shapes have been formulated and correlated with the damage location. The mathematical derivation shows that the difference in mode shape slopes attains a Dirac delta function at the location of the damage. Also, the difference in mode shape curvature is discontinuous at the damage location. However, it attains extreme values around the damage location. For illustration purposes, simulation studies on a shear building have been carried out to show the derivatives of the first few mode shapes to be sensitive to the damage location. An experimental case study involving a shake-table test has also been performed on a miniature model of a 6-story steel frame to investigate the efficiency of the proposed technique in real situations. Therefore, the mathematical formulation followed by the numerical study as well as the experimental investigation shows the competence of the proposed approach in structural damage identification. (C) 2017 American Society of Civil Engineers.
引用
收藏
页数:12
相关论文
共 50 条
  • [1] Identification of damage in a beam structure by using mode shape curvature squares
    Rucevskis, S.
    Wesolowski, M.
    [J]. SHOCK AND VIBRATION, 2010, 17 (4-5) : 601 - 610
  • [2] Structural damage quantification in shear buildings using mode shape slope ratio
    Roy, Koushik
    [J]. STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL, 2023, 22 (04): : 2346 - 2359
  • [3] Damage Identification Dependence on Number of Vibration Modes Using Mode Shape Curvature Squares
    Janeliukstis, R.
    Rucevskis, S.
    Wesolowski, M.
    Chate, A.
    [J]. 13TH INTERNATIONAL CONFERENCE ON MOTION AND VIBRATION CONTROL (MOVIC 2016) AND THE 12TH INTERNATIONAL CONFERENCE ON RECENT ADVANCES IN STRUCTURAL DYNAMICS (RASD 2016), 2016, 744
  • [4] Structural Damage Recognition Based on Perturbations of Curvature Mode Shape and Frequency
    He, Rong
    Zhu, Yafei
    He, Wei
    Chen, Huai
    [J]. ACTA MECHANICA SOLIDA SINICA, 2018, 31 (06) : 794 - 803
  • [5] Structural Damage Recognition Based on Perturbations of Curvature Mode Shape and Frequency
    Rong He
    Yafei Zhu
    Wei He
    Huai Chen
    [J]. Acta Mechanica Solida Sinica, 2018, 31 : 794 - 803
  • [6] Damage Identification Based on Curvature Mode Shape using Cubic Polynomial Regression and Chebyshev Filters
    Hasrizam, C. M.
    Fawazi, Noor
    [J]. GLOBAL CONGRESS ON CONSTRUCTION, MATERIAL AND STRUCTURAL ENGINEERING 2017 (GCOMSE2017), 2017, 271
  • [7] SIMPLE AND FAST DAMAGE IDENTIFICATION ON 6061 ALUMINIUM BASED ON MODE SHAPE CURVATURE
    Amiruddin, M. A.
    Jenat, N. L.
    Man, M. H. C.
    Irfan, M. A.
    Hambali, N. A.
    Fawazi, N.
    Halim, A. S. Nor
    [J]. JOURNAL OF ENGINEERING SCIENCE AND TECHNOLOGY, 2022, 17 (02): : 1036 - 1050
  • [8] Structural Damage Identification Based on Principal Curvatures of Mode Shape
    Gorgin, Rahim
    Wang, Ziping
    [J]. INTERNATIONAL JOURNAL OF ACOUSTICS AND VIBRATION, 2020, 25 (04): : 566 - 576
  • [9] Structural damage detection using curvature mode difference curve
    Jing, Hang
    Jia, Lingling
    Zhao, Yi
    [J]. ADVANCED BUILDING MATERIALS, PTS 1-4, 2011, 250-253 (1-4): : 1248 - +
  • [10] Warship damage identification using mode curvature shapes method
    Zhang, Yin
    Guo, Jun
    Xie, Yaoguo
    Xu, Jiang
    [J]. APPLIED OCEAN RESEARCH, 2022, 129