Numerical Studies on a novel Damage Localization Feature of Cantilever Beams using Standard Deviation and Curvature Method

被引:0
|
作者
An, Yonghui [1 ]
Ou, Jinping [1 ]
机构
[1] Dalian Univ Technol, Dept Civil Engn, Dalian 116023, Peoples R China
来源
HEALTH MONITORING OF STRUCTURAL AND BIOLOGICAL SYSTEMS 2012 | 2012年 / 8348卷
关键词
curvature; logarithms; standard deviation; damage localization; cantilever beams; damage detection; structural health monitoring; STRUCTURAL DAMAGE; MODAL DATA; IDENTIFICATION;
D O I
10.1117/12.924172
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
In this paper, taking the cantilever beams as example, a novel and simple damage localization approach is proposed: the Curvature Difference Probability Method of Waveform Logarithms of Standard Deviation (CDPWLSD). Firstly, the feature, the common Logarithms of Standard Deviation ( LSD) for the response signals before and after damage should be computed at every measured node. Then, the curvature changes of the waveform LSD are selected as candidates for the potentially damaged locations. Lastly, the probability of every potentially damaged element presenting in multiple identifications is considered to determine the finally damaged elements. Numerical results of both single and multiple damage cases show that the proposed approach can be used to locate damage very well. And it is still effective even if the noise level is up to 15%.
引用
收藏
页数:8
相关论文
共 32 条
  • [1] Experimental and numerical studies on damage localization of simply supported beams based on curvature difference probability method of waveform fractal dimension
    An, Yonghui
    Ou, Jinping
    JOURNAL OF INTELLIGENT MATERIAL SYSTEMS AND STRUCTURES, 2012, 23 (04) : 415 - 426
  • [2] A Novel Numerical Feature Extraction Method for Protein Subcellular Localization
    Chen, Haowen
    Liao, Bo
    Cai, Lijun
    Chen, Xia
    Liu, Shixiong
    JOURNAL OF COMPUTATIONAL AND THEORETICAL NANOSCIENCE, 2013, 10 (11) : 2618 - 2625
  • [3] Reliable damage localization in cantilever beams using an image similarity assessment method applied to wavelet-enhanced modal analysis
    Pacheco-Cherrez, Josue
    Delgado-Gutierrez, Arturo
    Cardenas, Diego
    Probst, Oliver
    MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2021, 149
  • [4] Reliable damage localization in cantilever beams using an image similarity assessment method applied to wavelet-enhanced modal analysis
    Pacheco-Chérrez, Josué
    Delgado-Gutiérrez, Arturo
    Cárdenas, Diego
    Probst, Oliver
    Mechanical Systems and Signal Processing, 2021, 149
  • [5] A novel face super resolution approach for noisy images using contour feature and standard deviation prior
    Chen, Liang
    Hu, Ruimin
    Liang, Chao
    Li, Qing
    Han, Zhen
    MULTIMEDIA TOOLS AND APPLICATIONS, 2017, 76 (02) : 2467 - 2493
  • [6] A novel face super resolution approach for noisy images using contour feature and standard deviation prior
    Liang Chen
    Ruimin Hu
    Chao Liang
    Qing Li
    Zhen Han
    Multimedia Tools and Applications, 2017, 76 : 2467 - 2493
  • [7] A universal method for seizure onset zone localization in focal epilepsy using standard deviation of spike amplitude
    Ji, Xiang
    Dang, Yuanyuan
    Song, Ming
    Liu, Aijun
    Zhao, Hulin
    Jiang, Tianzi
    EPILEPSY RESEARCH, 2024, 208
  • [8] Damage identification in aluminum beams using support vector machine: Numerical and experimental studies
    Satpal, Satish B.
    Guha, Anirban
    Banerjee, Sauvik
    STRUCTURAL CONTROL & HEALTH MONITORING, 2016, 23 (03): : 446 - 457
  • [9] GENE EXPRESSION DATA ANALYSIS USING PSEUDO STANDARD DEVIATION MINIMIZATION FEATURE FUSION METHOD FOR CANCER DIAGNOSIS
    Piao, Haiyan
    JOURNAL OF MECHANICS IN MEDICINE AND BIOLOGY, 2012, 12 (01)
  • [10] Free vibration analysis and damage localization in tapered beams with cracks using finite element method
    Kahya, Volkan
    Karaca, Sebahat
    Gunes, Sevgi Dilara
    JOURNAL OF THE FACULTY OF ENGINEERING AND ARCHITECTURE OF GAZI UNIVERSITY, 2021, 36 (02): : 841 - 854