Optimal budget allocation for bridge portfolios with element-level inspection data: a constrained integer linear programming formulation.

Fereshtehnejad, Ehsan; Shafieezadeh, Abdollah; Hur, Jieun

Existing bridge performance metrics are limited in their ability to objectively reflect the safety and serviceability of bridges and identify effective Maintenance, Repair and Replacement (MR&R) actions for a large number of bridges in the face of budget constraints. This study presents a comprehensive optimal budget allocation framework with an integer linear programing formulation for a portfolio of bridges based on element-level inspection data. Considering budget constraints, this method determines optimal MR&R actions at element-level such that agency and user costs of repair actions required to have bridges in their like-new state at the next budget allocation year are minimized. The framework incorporates structural safety risks via the probability that the designated structural functionality of a bridge is or deemed to be compromised. The approach is applied to 484 National Highway Systems bridges in district 3 of Ohio. Results indicate that the proposed method can identify work plans comprising the optimal set of MR&R actions that maximize the network-level performance of bridge portfolios, while satisfying budgetary constraints. It is observed that this method consistently assigns higher priority to work plans that reduce structural safety risks of bridges, and to bridges with high traffic demands and long detour lengths.

OHIO; LINEAR programming; INTEGER programming; NATIONAL Highway System; BILEVEL programming; U.S. state budgets; PORTFOLIO performance; AGENCY costs

Structure & Infrastructure Engineering: Maintenance, Management, Life-Cycle Design & Performance, 2022, Vol 18, Issue 6, p864

1573-2479

Academic Journal

10.1080/15732479.2021.1875489