CRACK DETECTION IN REINFORCED CONCRETE BEAM STRUCTURES BASED ON THE HIGHEST MODE SHAPES SUBJECTED TO INCREMENTAL LOADS

被引:2
|
作者
Sala, Fadillawaty [1 ]
Fragomeni, Sam [2 ]
Tran, Dahn [2 ]
Prayuda, Hakas [1 ]
机构
[1] Univ Muhammadiyah Yogyakarta, Dept Civil Engn, Yogyakarta, Indonesia
[2] Victoria Univ, Sch Engn & Sci, Melbourne, Vic, Australia
来源
INTERNATIONAL JOURNAL OF GEOMATE | 2019年 / 17卷 / 64期
关键词
Crack detection; Mode shape; Frequency response function; Vibration testing;
D O I
10.21660/2019.64.32088
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
This paper presents the use of Frequency Response Functions (FRFs) to determine damage index and crack damage in reinforced concrete (RC) beam structures using vibration signals Three methods consisting of Static Residual Strength Index (SRSI), Intermediate Load Damage Index (ILDI), and Modified Flexure Damage Index (MFDI) were adopted in this research Impact tests on simply supported RC beams were conducted to measure vibration signals on the beams by recording the curvature mode shapes during the experimental testing. The ICATS software was carried out to capture the Frequency Response Functions (FRFs) data at each load step. Cracks occurred on the beam due to the applied load, reducing its natural frequency, indicating an initial stage of the damage having occurred. The midspan vertical deflection of the beam results in its mode shape changes and curvatures increased. The mode shape curvature square difference was used to determine the extent of damage and location of damage indicating the beam residual strength. A numerical algorithm of the finite difference method was performed using the FRFs data to calculate the different FRFs for undamaged and damaged beam conditions based on the mode shape curvature square (MSCS) method. The damage index and crack detection based on the numerical computation were determined by subtracting the MSCS between undamaged to damaged beams. The resulting accuracy of the damage index used to define the level of damage and damage location was absolutely achieved by comparing the numerical and observed experimental results.
引用
收藏
页码:85 / 92
页数:8
相关论文
共 50 条
  • [31] Theoretical method for predicting the failure mode of reinforced concrete shear walls subjected to axial tension and cyclic lateral loads
    Zhang, Shaohui
    Ji, Xiaodong
    Sun, Lei
    Cheng, Xiaowei
    Gao, Xiang
    [J]. ENGINEERING STRUCTURES, 2024, 317
  • [32] Crack Detection and Analysis of Concrete Structures Based on Neural Network and Clustering
    Choi, Young
    Park, Hee Won
    Mi, Yirong
    Song, Sujeen
    [J]. SENSORS, 2024, 24 (06)
  • [33] Automatic crack detection of dam concrete structures based on deep learning
    Lv, Zongjie
    Tian, Jinzhang
    Zhu, Yantao
    Li, Yangtao
    [J]. COMPUTERS AND CONCRETE, 2023, 32 (06): : 615 - 623
  • [34] Digital Image Patch Based Randomized Crack Detection in Concrete Structures
    Sharma, Mayank
    Sharma, Mahesh Kumar
    Leeprechanon, Nopbhorn
    Anotaipaiboon, Weerachai
    Chaiyasarn, Krisada
    [J]. 2017 INTERNATIONAL CONFERENCE ON COMPUTER COMMUNICATION AND INFORMATICS (ICCCI), 2017,
  • [35] RBSM-Based Analysis of Crack Control Effectiveness of Polymer Concrete Overlay for Reinforced Concrete Structures
    Khmurovska, Yuliia
    Stemberk, Petr
    [J]. MECHANIKA, 2017, 23 (06): : 788 - 793
  • [37] Identification of Crack in Reinforced Concrete Beam Subjected to Static Load Using Non-linear Finite Element Analysis
    Halahla, Abdulsamee
    [J]. CIVIL ENGINEERING JOURNAL-TEHRAN, 2019, 5 (07): : 1631 - 1646
  • [38] Adjoint-based analysis and optimization of beam-like structures subjected to dynamic loads
    David Solano
    Darshan Sarojini
    Dushhyanth Rajaram
    Dimitri N. Mavris
    [J]. Structural and Multidisciplinary Optimization, 2022, 65
  • [39] Adjoint-based analysis and optimization of beam-like structures subjected to dynamic loads
    Solano, David
    Sarojini, Darshan
    Rajaram, Dushhyanth
    Mavris, Dimitri N.
    [J]. STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, 2022, 65 (02)
  • [40] Corrosion detection of reinforced concrete structures based on microwave nondestructive technique
    Li, Peng
    Yu, Honglin
    Li, Zijin
    Zhang, Boming
    Wu, Tian
    Pu, Ziheng
    Wang, Shenhua
    [J]. AIP ADVANCES, 2023, 13 (02)