Detection of near-surface defects using a coin-tap approach based on the equivalent impact stiffness of Hertzian contact theory

被引:2
|
作者
Chen, Dongdong [1 ]
Huo, Linsheng [2 ,4 ]
Song, Gangbing [3 ,5 ]
Fan, Shuli [2 ]
机构
[1] Nanjing Forestry Univ, Coll Civil Engn, Nanjing, Jiangsu, Peoples R China
[2] Dalian Univ Technol, State Key Lab Coastal & Offshore Engn, Dalian, Liaoning, Peoples R China
[3] Univ Houston, Dept Mech Engn, Smart Mat & Struct Lab, Houston, TX USA
[4] Dalian Univ Technol, State Key Lab Coastal & Offshore Engn, Dalian 116024, Peoples R China
[5] Univ Houston, Dept Mech Engn, Smart Mat & Struct Lab, Houston, TX 77204 USA
关键词
Near-surface defects detection; Hertzian contact theory; coin-tap testing; linearized contact law; equivalent impact stiffness; DELAMINATION DETECTION; COMPOSITE STRUCTURES; VISCOELASTIC MODEL; IMPEDANCE METHOD; LAMB WAVES; CONCRETE; INSPECTION; COEFFICIENT; RESTITUTION; CORROSION;
D O I
10.1177/14759217221137041
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
In this paper, a novel method to analyze the mechanical behavior of the coin-tap test using the principle of pounding mechanics is proposed. Based on the Hertzian contact theory, the linearized contact law is applied to simplify the mathematical model of the coin-tap test. By modeling the stiffness of the defect as an equivalent spring in a serial connection with the contact stiffness, the impact force and impact time can be theoretically derived. The derived expressions show that, the closer the defect is to the surface of the structure, the longer the impact duration time and the smaller the impact force will be. In addition, with the increase of defect radii, the peak force and duration of the impact will decrease and increase, respectively. Another innovation of this paper is that an equivalent impact stiffness (EIS)-based damage index (DI) is proposed to reveal the severity and location of the near-surface damages. Two validation experiments were carried out to validate the influences of the damage's radii and under-surface depths. In the first experiment, the impact force and time of the central point for eight plates are measured to validate the accuracy of the proposed model. In the second experiment, 18 points on the horizontal centerline of eight specimens were tapped at an interval of 1 cm. The recorded pounding force and time were processed by EIS-based DI. Experimental results show that the EIS-based DI can effectively predict the position and severity of the defects and it holds the potential for practical application.
引用
收藏
页码:2813 / 2826
页数:14
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共 17 条
  • [1] DETECTION OF NEAR-SURFACE AND SURFACE-BREAKING DEFECTS USING ULTRASONIC ARRAYS
    Velichko, A.
    Wilcox, P. D.
    Drinkwater, B. W.
    [J]. REVIEW OF PROGRESS IN QUANTITATIVE NONDESTRUCTIVE EVALUATION, VOLS 31A AND 31B, 2012, 1430 : 929 - 936
  • [2] Autoencoder-based detection of near-surface defects in ultrasonic testing
    Ha, Jong Moon
    Seung, Hong Min
    Choi, Wonjae
    [J]. ULTRASONICS, 2022, 119
  • [3] Detection of near-surface defects in viscoelastic material based on focused ultrasound thermal effects
    Han, Mengyu
    Zheng, Huifeng
    Gao, Yumeng
    Zhou, Zhuangxin
    Liu, Xiangchen
    [J]. ULTRASONICS, 2024, 143
  • [4] Detection of near-surface microscopic defects in ceramics and other materials using optical coherence tomography
    Bashkansky, M
    Duncan, MD
    Reintjes, J
    [J]. REVIEW OF PROGRESS IN QUANTITATIVE NONDESTRUCTIVE EVALUATION, VOLS 19A AND 19B, 2000, 509 : 1517 - 1523
  • [5] Monitoring crop phenology using a smartphone based near-surface remote sensing approach
    Hufkens, Koen
    Melaas, Eli K.
    Mann, Michael L.
    Foster, Timothy
    Ceballos, Francisco
    Robles, Miguel
    Kramer, Berber
    [J]. AGRICULTURAL AND FOREST METEOROLOGY, 2019, 265 : 327 - 337
  • [6] Image Fusion for Improved Detection of Near-Surface Defects in NDT-CE Using Unsupervised Clustering Methods
    Cotic, Patricia
    Jaglicic, Zvonko
    Niederleithinger, Ernst
    Stoppel, Markus
    Bosiljkov, Vlatko
    [J]. JOURNAL OF NONDESTRUCTIVE EVALUATION, 2014, 33 (03) : 384 - 397
  • [7] Image Fusion for Improved Detection of Near-Surface Defects in NDT-CE Using Unsupervised Clustering Methods
    Patricia Cotič
    Zvonko Jagličić
    Ernst Niederleithinger
    Markus Stoppel
    Vlatko Bosiljkov
    [J]. Journal of Nondestructive Evaluation, 2014, 33 : 384 - 397
  • [8] Estimating near-surface air temperature across Israel using a machine learning based hybrid approach
    Zhou, Bin
    Erell, Evyatar
    Hough, Ian
    Rosenblatt, Jonathan
    Just, Allan C.
    Novack, Victor
    Kloog, Itai
    [J]. INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2020, 40 (14) : 6106 - 6121
  • [9] Downscaling near-surface wind over complex terrain using a physically-based statistical modeling approach
    Hsin-Yuan Huang
    Scott B. Capps
    Shao-Ching Huang
    Alex Hall
    [J]. Climate Dynamics, 2015, 44 : 529 - 542
  • [10] Downscaling near-surface wind over complex terrain using a physically-based statistical modeling approach
    Huang, Hsin-Yuan
    Capps, Scott B.
    Huang, Shao-Ching
    Hall, Alex
    [J]. CLIMATE DYNAMICS, 2015, 44 (1-2) : 529 - 542