GRP Data Collection and Processing Strategies for Railway Ballast Evaluation

被引:0
|
作者
Bianchini Ciampoli, Luca [1 ]
Calvi, Alessandro [1 ]
D'Amico, Fabrizio [1 ]
Tostif, Fabio [2 ]
机构
[1] Roma Tre Univ, Dept Engn, Rome, Italy
[2] Univ West London, Sch Comp & Engn, London, England
关键词
GPR; railway monitoring; ballast decay; data processing; railway maintenance; GROUND-PENETRATING RADAR;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Railways are important assets requiring continuous and effective monitoring. Within this context, non-destructive testing (NDT) methods are gaining momentum including, amongst others, the ground-penetrating radar (GPR) technique. GPR has proven its viability at providing effective condition-based assessment of railway ballast and identifying several different sources of decay. In this paper, the main challenges related to the data collection and processing stages for railway ballast investigations are reported. In addition, a review of main survey protocols and data processing strategies, including state-of-the-art research in this area of endeavor is presented, in terms of the issues related to the configuration of the track-bed structure (i.e., the effects of rails and sleepers on the signal) and the main inspection targets (i.e., ballast fouling, water content and segregation of the aggregates).
引用
收藏
页码:426 / 429
页数:4
相关论文
共 50 条
  • [21] Evaluation of limestone aggregates for railway ballast: particle characteristics and shear strength analysis
    de Andrade, Guilherme Faria Souza Mussi
    Dieguez, Cid Almeida
    Lima, Bruno Teixeira
    Guimaraes, Antonio Carlos Rodrigues
    SOILS AND ROCKS, 2024, 47 (04):
  • [22] DATA COLLECTION AND RELIABILITY ASSESSMENT OF FREIGHT RAILWAY WAGONS
    Nogly, Libor
    Zvolensky, Peter
    SOUCASNE PROBLEMY V KOLEJOVYCH VOZIDLECH, 2013, : 163 - 168
  • [23] Data Collection and Processing Methods for the Evaluation of Vehicle Road Departure Detection Systems
    Shen, Dan
    Yi, Qiang
    Li, Lingxi
    Chien, Stanley
    Chen, Yaobin
    Sherony, Rini
    2018 IEEE INTELLIGENT VEHICLES SYMPOSIUM (IV), 2018, : 1373 - 1378
  • [24] USE OF COMPUTER TECHNIQUE IN THE COLLECTION, PROCESSING AND EVALUATION OF MASS-SPECTROMETRIC DATA
    BRUCK, P
    TAMAS, J
    KEMIAI KOZLEMENYEK, 1979, 52 (1-2): : 209 - 210
  • [25] Mixed method data collection strategies
    Pauli, Julia
    ANTHROPOS, 2008, 103 (02) : 575 - 576
  • [26] DATA-COLLECTION STRATEGIES IN SKED
    HAMILTON, BE
    BEHAVIOR RESEARCH METHODS & INSTRUMENTATION, 1975, 7 (02): : 243 - 247
  • [27] Mixed Method Data Collection Strategies
    Coverdill, James E.
    SOCIAL FORCES, 2008, 87 (01) : 617 - 619
  • [28] Data collection and analysis strategies for phMRI
    Mandeville, Joseph B.
    Liu, Christina H.
    Vanduffel, Wim
    Marota, John J. A.
    Jenkins, Bruce G.
    NEUROPHARMACOLOGY, 2014, 84 : 65 - 78
  • [29] DATA-COLLECTION STRATEGIES IN SUPPORT
    KRELING, B
    ROBINSON, DK
    BERGNER, M
    JOURNAL OF CLINICAL EPIDEMIOLOGY, 1990, 43 : S5 - S9
  • [30] Mixed Method Data Collection Strategies
    Spoorenberg, Thomas
    CAHIERS QUEBECOIS DE DEMOGRAPHIE, 2006, 35 (01): : 169 - 174