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Title: Multi-Objective Optimization for Long-Range Bridge Improvement Programming: Iowa DOT Case Study
Accession Number: 01658063
Record Type: Component
Abstract: 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.
Report/Paper Numbers: 18-03551
Language: English
Authors: Halfawy, Mahmoud RNeubauer, ScottPagination: 16p
Publication Date: 2018
Conference:
Transportation Research Board 97th Annual Meeting
Location:
Washington DC, United States Media Type: Digital/other
Features: Figures; References; Tables
TRT Terms: Identifier Terms: Subject Areas: Bridges and other structures; Highways; Planning and Forecasting
Source Data: Transportation Research Board Annual Meeting 2018 Paper #18-03551
Files: TRIS, TRB, ATRI
Created Date: Jan 8 2018 10:53AM
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