Bridges

Cover of Bridge Management Using Performance Models
Bridge Management Using Performance Models
  • Publication no: AP-T258-13
  • ISBN: 978-1-925037-36-4
  • Published: 20 December 2013

Performance modelling is an asset management tool used to quantify or qualify the performance of a bridge within the context of the overall bridge network. Performance modelling techniques include the use of performance indicators and deterioration modelling. Frequently these new techniques are integrated into bridge management software tools. This report focuses on capturing these new techniques and providing guidance for their use in Australia and New Zealand.

  • 1. Introduction
    • 1.1. Background
    • 1.2. Aims
    • 1.3. Project Scope
    • 1.4. Outline
    • 1.5. Definitions
  • 2. Literature Review of Deterioration Models
    • 2.1. Background
    • 2.2. Deterioration Modelling
      • 2.2.1. Deterministic Models
      • 2.2.2. Stochastic Models
      • 2.2.3. Artificial Intelligence Models
    • 2.3. UTS and RMS Deterioration Modelling Review
      • 2.3.1. Analysis of Bridge Condition Data
      • 2.3.2. Development of a Condition Model
      • 2.3.3. Current Developments and Future Work
      • 2.3.4. Discussion
  • 3. State-of-the-Art Review of Asset Management Practices
    • 3.1. Asset Management Practice
      • 3.1.1. AM Framework in Australia
      • 3.1.2. Top-down and Bottom-up Management Approach
      • 3.1.3. Asset Management Practice in Australia
      • 3.1.4. Asset Valuation
      • 3.1.5. Life-cycle Costing
    • 3.2. Selected Overseas Organisations
      • 3.2.1. Ontario Ministry of Transportation
      • 3.2.2. Nova Scotia Department of Transportation and Public Works
      • 3.2.3. Quebec Ministry of Transportation
      • 3.2.4. New York State Department of Transportation
      • 3.2.5. Swiss Federal Roads Office
    • 3.3. Selected BMS Software
      • 3.3.1. AASHTOWare Bridge Management (Formerly Pontis)
      • 3.3.2. BRIDGIT
      • 3.3.3. OBMS
      • 3.3.4. ARRB Structures Information System (ASIS)
      • 3.3.5. BridgeAsyst
  • 4. National Road Authority Survey
    • 4.1. Current and Future Deterioration Modelling Ambitions
    • 4.2. Current Approach to Bridge Asset Management
      • 4.2.1. Condition Rating Scales
      • 4.2.2. Data Collected and Quality
      • 4.2.3. Asset Management Approach and Linkage to Condition Information
      • 4.2.4. Collection of Cost Data
    • 4.3. Future Directions in Bridge Asset Management
      • 4.3.1. Stumbling Blocks
      • 4.3.2. Use of Deterioration Modelling for Bridge Management Tasks
  • 5. International jurisdictional Survey
    • 5.1. Survey Respondents
    • 5.2. Survey Response
      • 5.2.1. Asset Management – Forward Works Programming
      • 5.2.2. Deterioration Modelling
      • 5.2.3. Deterioration Modelling and Asset Management
  • 6. Review of Bridge Performance Measures
    • 6.1. Measures of Bridge Performance
    • 6.2. Australian Bridge Performance Indicators
      • 6.2.1. Condition Rating
      • 6.2.2. VicRoads Bridge Condition Number (BCN)
      • 6.2.3. TMR Bridge Condition
      • 6.2.4. RMS Bridge Health Indicator
      • 6.2.5. RMS Deterioration Modelling Indexes
      • 6.2.6. DTEI Bridge Health Index
      • 6.2.7. Bridge Sufficiency Indicators
      • 6.2.8. Risk Analysis
    • 6.3. United States Bridge Performance Indicators
      • 6.3.1. USA National Bridge Inventory Condition Ratings (NBI)
      • 6.3.2. AASHTO Bridge Sufficiency Rating
      • 6.3.3. Geometric Rating/Functional Obsolescence
      • 6.3.4. Inventory Rating or Operating Rating
      • 6.3.5. Vulnerability Rating
    • 6.4. Canadian Bridge Performance Indicators
    • 6.5. UK Bridge Performance Indicators
      • 6.5.1. Rate and Ranking of Indicators
      • 6.5.2. Bridge Condition Score and Bridge Stock Condition
      • 6.5.3. Interpretation and Use of Condition Indicator Values
    • 6.6. Discussion
  • 7. Implementation of Deterioration Models in Asset Management
    • 7.1. Network-level Deterioration Estimation
    • 7.2. Network-level ‘What If’ Funding Analysis
    • 7.3. Network Strategy Development
      • 7.3.1. Example of Network Strategy Development and Deterioration Modelling
      • 7.3.2. Asset Replacement and Repair Profiles
      • 7.3.3. Discussion
    • 7.4. Asset Valuation
    • 7.5. Time to Intervention Prioritisation
    • 7.6. Problem Identification, Diagnosis and Treatment
      • 7.6.1. Rate of Deterioration Query Tool
      • 7.6.2. Decision Support System
    • 7.7. Dynamic Treatment Criticality Modelling
    • 7.8. Project-level Analysis, Maintenance and Costing Alternative Comparison
  • Background
  • 8. Implementation Methodology and Example
    • 8.1. Network Strategy Development Example
      • 8.1.1. Set Objectives
      • 8.1.2. Identify Data Needs
      • 8.1.3. Develop Deterioration Model
      • 8.1.4. Implementing the Deterioration Model
      • 8.1.5. Develop the Strategy
    • 8.2. Project Level Analysis Example
      • 8.2.1. Alternative Review
      • 8.2.2. Present Value Calculations
      • 8.2.3. Final Results
  • 9. Implementation Critical Issues and Considerations
    • 9.1. Reliability of Inspection Data
    • 9.2. Data Sampling
    • 9.3. Interstate and International Data Consistency
    • 9.4. Variability between Agencies
    • 9.5. Deterioration Modelling using Observed Deterioration Data
    • 9.6. Deterioration Variables and Model Validation
    • 9.7. Time to Intervention and Time to Failure
    • 9.8. Accuracy and the End User
    • 9.9. Mean and Bandings
    • 9.10. Effect of Other Variables in the Decision-making Process
    • 9.11. Discussion
  • 10. Conclusions and Suggestions
  • Performance modelling usage
  • Deterioration modelling usage
  • Deterioration methodologies
  • References
  • Appendix A National Road Authority Survey
  • Appendix B International Road Authority Survey