Assessment of the overall condition of bridge decks using the Jensen-Shannon divergence of NDE data

被引:9
|
作者
Rashidi, M. [1 ]
Azari, H. [2 ]
Nehme, J. [3 ]
机构
[1] Turner Fairbank Highway Res Ctr, 6300 Georgetown Pike, Mclean, VA 22101 USA
[2] Turner Fairbank Highway Res Ctr, 6300 Georgetown Pike, Mclean, VA 22101 USA
[3] Turner Fairbank Highway Res Ctr, Long Term Infrastruct Performance Team, 6300 Georgetown Pike, Mclean, VA 22101 USA
关键词
Bridge deterioration; Field inspection; Statistical analysis; Jensen-Shannon divergence; Concrete; NONDESTRUCTIVE EVALUATION; IMPACT-ECHO; CONCRETE; CORROSION;
D O I
10.1016/j.ndteint.2019.102204
中图分类号
TB3 [工程材料学];
学科分类号
0805 ; 080502 ;
摘要
This paper presents the successful application of the Jensen-Shannon divergence (JSD) for the overall condition assessment of bridge deck structures using nondestructive evaluation (NDE) data. Periodic (time-lapsed) results from electrical resistivity, half-cell potential, ground penetrating radar, ultrasonic surface wave, and impact-echo measurements on the Haymarket Bridge deck (located in Virginia, U.S.) are represented in the form of probability distributions, and the deviation from original distributions is calculated using the square root of the Jensen-Shannon divergence (root JSD). The effects of bin size on the probability distribution, and of instruments varying in resolution on root JSD are discussed. Finally, by assuming ideal probability distributions representing an intact condition of the bridge deck, an NDE index for condition assessment of bridge decks is suggested and deterioration curves are developed. Results demonstrate the effectiveness of root JSD to evaluate relative changes in the bridge deck condition.
引用
收藏
页数:12
相关论文
共 50 条
  • [41] Noise Reduction Using Singular Value Decomposition with Jensen-Shannon Divergence for Coronary Computed Tomography Angiography
    Kasai, Ryosuke
    Otsuka, Hideki
    DIAGNOSTICS, 2023, 13 (06)
  • [42] PARAMETER ANALYSIS OF THE JENSEN-SHANNON DIVERGENCE FOR SHOT BOUNDARY DETECTION IN STREAMING MEDIA APPLICATIONS
    De Klerk, M. G.
    Venter, W. C.
    Hoffman, A. J.
    SAIEE AFRICA RESEARCH JOURNAL, 2018, 109 (03): : 171 - 181
  • [43] Ultra-high-dimensional feature screening of binary categorical response data based on Jensen-Shannon divergence
    Jiang, Qingqing
    Deng, Guangming
    AIMS MATHEMATICS, 2024, 9 (02): : 2874 - 2907
  • [44] Parameter analysis of the Jensen-Shannon divergence for shot boundary detection in streaming media applications
    De Klerk M.G.
    Venter W.C.
    Hoffman A.J.
    2018, South African Institute of Electrical Engineers (109): : 171 - 181
  • [45] Learning geometric Jensen-Shannon divergence for tiny object detection in remote sensing images
    Ni, Shuyan
    Lin, Cunbao
    Wang, Haining
    Li, Yang
    Liao, Yurong
    Li, Na
    FRONTIERS IN NEUROROBOTICS, 2023, 17
  • [46] Measuring Phase-Amplitude Coupling Based on the Jensen-Shannon Divergence and Correlation Matrix
    Li, Zhaohui
    Bai, Xiaochen
    Hu, Rui
    Li, Xiaoli
    IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2021, 29 : 1375 - 1385
  • [47] Nondestructive Incipient Crack Detection based on Wavelet and Jensen-Shannon Divergence in the NICA framework
    Zhang, Xiaoxia
    Delpha, Claude
    Diallo, Demba
    45TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY (IECON 2019), 2019, : 3685 - 3690
  • [48] k-Medoids Clustering Based on Kernel Density Estimation and Jensen-Shannon Divergence
    Hamasuna, Yukihiro
    Kingetsu, Yuto
    Nakano, Shusuke
    MODELING DECISIONS FOR ARTIFICIAL INTELLIGENCE (MDAI 2019), 2019, 11676 : 272 - 282
  • [49] An Optimal Segmentation Method Using Jensen-Shannon Divergence via a Multi-Size Sliding Window Technique
    Katatbeh, Qutaibeh D.
    Martinez-Aroza, Jose
    Francisco Gomez-Lopera, Juan
    Blanco-Navarro, David
    ENTROPY, 2015, 17 (12) : 7996 - 8006
  • [50] Jensen-Shannon divergence based algorithm for adaptive segmentation and labelling of household's electricity power consumption data series
    Pinter, Istvan
    Kovacs, Lorant
    Drenyovszi, Rajmund
    Olah, Andras
    Tornai, Kalman
    2016 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC), 2016, : 1912 - 1916