Geospatial assessment methods for geotechnical asset management of legacy railway embankments

被引:2
|
作者
Noakes, Adam J. P. [1 ]
Mason-Jarvis, Laura F. [1 ]
Taylor, Graham R. [1 ]
Evans, Eifion [2 ]
机构
[1] Mott MacDonald, Mott MacDonald House,8-10 Sydenham Rd, Croydon CR0 2EE, England
[2] Network Rail, Quadrant MK, Elder Gate, Milton Keynes MK9 1EN, Bucks, England
关键词
Asset management - Geotechnical engineering - Information management - Railroad transportation - Railroads - Rails - Risk assessment;
D O I
10.1144/qjegh2018-092
中图分类号
P5 [地质学];
学科分类号
0709 ; 081803 ;
摘要
Most British railway embankments were constructed between 120 and 180 years ago without the benefit of modern design and construction methods. This can result in undesirable load-deformation characteristics and consequent disruption to present-day railway operations, for which there is unprecedented demand. Annual rail passenger kilometres have approximately doubled in the last 20 years and freight has increased by 60% over the same period. Whereas elements such as rails or bridges can be refurbished or replaced to meet increasing demand, the same is not usually feasible for embankments. Development of techniques to assess embankment performance risks posed by operational capacity enhancements is therefore of increasing significance to railway geotechnical asset management. The two case studies presented in this paper demonstrate how geospatial analysis and data management techniques may be applied to this challenge at both strategic (regional or national) and tactical (site-specific) scales for embankments incorporating plastic clay fill. The case studies also demonstrate, in a world of ever more abundant data, the growing need for engineering geologists and geotechnical engineers to augment their traditional knowledge with comprehensive data management and geospatial analysis skills, these being essential for modern infrastructure asset management.
引用
收藏
页码:339 / 348
页数:10
相关论文
共 50 条
  • [41] A mathematical programming approach to railway network asset management
    Fecarotti, C.
    Andrews, J.
    SAFETY AND RELIABILITY - SAFE SOCIETIES IN A CHANGING WORLD, 2018, : 839 - 847
  • [42] Requirements for Big Data adoption for Railway asset Management
    McMahon P.
    Zhang T.
    Dwight R.
    IEEE Access, 2020, 8 : 15543 - 15564
  • [43] A holistic modelling framework for railway infrastructure asset management
    Rama, D.
    Andrews, J. D.
    SAFETY, RELIABILITY AND RISK ANALYSIS: BEYOND THE HORIZON, 2014, : 687 - 695
  • [44] Requirements for Big Data Adoption for Railway Asset Management
    Mcmahon, P.
    Zhang, T.
    Dwight, R.
    IEEE ACCESS, 2020, 8 : 15543 - 15564
  • [45] Quantifying the impact of variability in railway bridge asset management
    Yianni, P. C.
    Neves, L. C.
    Rama, D.
    Andrews, J. D.
    Tedstone, N.
    Dean, R.
    LIFE-CYCLE ANALYSIS AND ASSESSMENT IN CIVIL ENGINEERING: TOWARDS AN INTEGRATED VISION, 2019, : 1395 - 1402
  • [46] Digitalization and Dynamic Criticality Analysis for Railway Asset Management
    Hernandez, Mauricio Rodriguez
    Sanchez-Herguedas, Antonio
    Gonzalez-Prida, Vicente
    Contreras, Sebastian Soto
    Marquez, Adolfo Crespo
    APPLIED SCIENCES-BASEL, 2024, 14 (22):
  • [47] Approaches to Dealing With Missing Data in Railway Asset Management
    McMahon, Paul
    Zhang, Tieling
    Dwight, Richard A.
    IEEE ACCESS, 2020, 8 : 48177 - 48194
  • [48] Jump-Starting a Geotechnical Asset Management Program with Existing Data
    Beckstrand, Darren
    Mines, Aine
    TRANSPORTATION RESEARCH RECORD, 2017, (2656) : 23 - 30
  • [49] INTELLECTUAL PROPERTY ASSET ASSESSMENT METHODS
    Urazova, N. G.
    Kotelnikov, N. V.
    RPTSS 2018 - INTERNATIONAL CONFERENCE ON RESEARCH PARADIGMS TRANSFORMATION IN SOCIAL SCIENCES, 2018, 50 : 1295 - 1302
  • [50] An alternative approach to railway asset management value analysis: application to a UK railway corridor
    Litherland, Jack
    Calvert, Gareth
    Andrews, John
    Modhara, Sunny
    Kirwan, Andy
    INFRASTRUCTURE ASSET MANAGEMENT, 2021, 8 (02) : 85 - 97