Asset management

Cover of Guide to Asset Management Part 5E: Cracking
Guide to Asset Management Part 5E: Cracking
  • Publication no: AGAM05E-06
  • ISBN: 1-921139-71-4
  • Published: 13 October 2006
  • Edition: 1
  • Superseded

Guide to Asset Management Part 5E contains guidelines for and background notes on network level measurement and reporting of pavement cracking data for road network management purposes in Australia and New Zealand. The guidelines discuss the types and causes of cracking, the frequency and scope of network cracking surveys, and the methods available for network level cracking surveys. The guidelines describe four current principal methodologies for measuring surface cracking at a network level in Australia and New Zealand, viz. detailed walk-over inspections, drive-over windscreen surveys, manual post-interpretation of video images of pavement surfaces, and fully automated techniques involving high-resolution imaging and automated crack recognition. The guidelines recognise and define three parameters for reporting cracking, viz. dominant crack type, severity (crack width), and extent (proportion of total surface area cracked). The guidelines are intended as a basis for a consistent approach in Australia and New Zealand. Verification procedures for cracking measurement methods are covered, and repeatability and bias are briefly discussed.

  • 1. INTRODUCTION
    • 1.1. Context within the Guide to Asset Management
    • 1.2. Overview of pavement cracking
    • 1.3. Objective
  • 2. SPECIFICATION AND TEST METHODS
    • 2.1. Definition of cracking
    • 2.2. Scope of cracking surveys
    • 2.3. Frequency of cracking surveys
    • 2.4. Data reporting
      • 2.4.1. Reporting interval
      • 2.4.2. Reporting parameters
  • 3. TOOLS AND TECHNIQUES
    • 3.1. Methods for cracking measurement
    • 3.2. Technologies for cracking surveys
      • 3.2.1. Manual methods
      • 3.2.2. Automated methods
      • 3.2.3. Criteria for method selection
    • 3.3. Experimental observation of cracking
  • 4. DATA QUALITY AND VALIDATION
    • 4.1. Verification of distance measurement
    • 4.2. Verification of cracking measurement
    • 4.3. Repeatability and bias
  • 5. ANALYSIS
    • 5.1. Assessing the validity of cracking data
    • 5.2. Distribution analysis
  • 6. APPLICATION
    • 6.1. Network screening
    • 6.2. Performance measures
    • 6.3. Intervention levels
    • 6.4. Decision-support tools
  • 7. PROJECT LEVEL APPLICATION
    • 7.1. Cracking data collection at the project level
    • 7.2. Cracking data as a diagnostic tool
    • 7.3. Screening of candidate treatment sections
  • REFERENCES