Multi-Objective Optimization for Long-Range Bridge Improvement Programming: Iowa DOT Case Study

This paper presents a case study in the application of a novel multi-objective optimization approach to develop 20-year improvement and replacement program for approximately 3,200 Iowa state-owned bridges. The optimization model considers three competing objectives: minimization of system-level risk, maximization of system-level condition, and minimization of costs, subject to a set of agency-defined constraints. A range of alternative actions are considered including preservation, rehabilitation, functional improvement, and replacement actions. Annual optimal project lists are generated for a set of planning scenarios. Two types of scenarios were considered: (1) budget scenarios to evaluate the impact of funding levels on system-wide condition and risk measures; and (2) performance target scenarios to evaluate budget requirements to achieve certain performance objectives in terms of system-wide condition or risk measures. The paper presents a step-by-step description of the methodology including deterioration modeling, risk analysis, definition of alternative actions, and the trade-off analysis of planning scenarios.

• Supplemental Notes:
  • This paper was sponsored by TRB committee AHD35 Standing Committee on Bridge Management. Alternate title: Multiobjective Optimization for Long-Range Bridge Improvement Programming: An Iowa DOT Case Study.
• Authors:
  • Halfawy, Mahmoud R
  • Neubauer, Scott
• Conference:
  • Transportation Research Board 97th Annual Meeting
  • Location: Washington DC, United States
  • Date: 2018-1-7 to 2018-1-11
• Date: 2018

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; References; Tables;
• Pagination: 16p

Subject/Index Terms

• TRT Terms: Bridges; Case studies; Highways; Improvements; Optimization; Programming (Planning)
• Identifier Terms: Iowa Department of Transportation
• Subject Areas: Bridges and other structures; Highways; Planning and Forecasting;

Filing Info

• Accession Number: 01658063
• Record Type: Publication
• Report/Paper Numbers: 18-03551
• Files: TRIS, TRB, ATRI
• Created Date: Jan 26 2018 9:47AM