Network-Level Optimization Module for Bridge Planning and Programming

A systematic element-based multi-objective optimization methodology (EB-MOO) aimed to produce optimal or near-optimal sets of short- and long-term intervention strategies for trade-offs or prioritization was developed as part of this research to improve bridge management and support state departments of transportation with their transition efforts to performance management and performance-based planning and programming required by the Moving Ahead for Progress in the 21st Century Act. The methodology focuses on one transportation asset class (i.e., bridges) and consists of five modules: (1) data processing, (2) improvement, (3) element-level optimization (ELO), (4) bridge-level optimization (BLO), and (5) network-level optimization (NLO). This paper details only the NLO module, and the solution superiority screening process to guide the optimization search toward global optimality within a reasonable computational time. The paper defines the top-down and bottom-up approaches followed by the NLO. For each approach, the paper lays out the optimization framework, introduces the optimization problem types and mathematical formulations, and the heuristic algorithm to solve the NLO problems. A tool prototype was developed to implement the EB-MOO methodology, test concepts, prove effectiveness, and demonstrate potential benefits. Several examples of constrained (by budget and/or performance) and unconstrained scenarios were established for implementation using the tool prototype. A small portfolio of 40 bridges is used in these examples. The implementation proved the capability of the NLO module in generating Pareto frontiers (fronts hosting optimal solutions), predicting network performance, recommending investment strategies, and facilitating trade-off analyses to help decision makers sort through the recommended investment strategies.

Language

  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; References; Tables;
  • Pagination: 30p

Subject/Index Terms

Filing Info

  • Accession Number: 01763531
  • Record Type: Publication
  • Report/Paper Numbers: TRBAM-21-01027
  • Files: TRIS, TRB, ATRI
  • Created Date: Dec 23 2020 11:03AM