Multi-Objective Maintenance Optimization Model to Minimize Maintenance Costs While Maximizing Performance of Bridges
Year: 2023
Type: conference-paper
Abstract: Proper maintenance planning for bridges is necessary as it impacts the performance, safety, and maintenance costs. Implementing less costly interventions on time can reduce the deterioration of components, enhance performance of bridges, and prevent necessity of costly interventions. However, maintenance of bridges is often delayed due to lack of proper planning and limitations of recourses such as funds. This paper presents the development of a multi-objective maintenance optimization model for bridges that can identify optimum trade-offs between two important objectives of minimizing maintenance costs and maximizing performance of bridges. To this end, a multi-objective model is developed in three main steps: (i) formulation step where decision variables, objective function, and constraints are identified and formulated; (ii) implementation step that performs the model computations; and (iii) performance evaluation step where a case study is analyzed to illustrate the capabilities of the developed model. The computations of the optimization model are implemented using epsilon-constraint method and binary linear programing due to their capability of identifying optimal solutions in a short computational time. The case study results illustrated that the developed model identified pareto-optimal solutions of the above optimization objectives for a study period of 50 years.
Source: EPiC series in built environment
DOI: 10.29007/fpr9
Institutions: University of Colorado Denver, Colorado State University
Language: English
Subfield: Safety, Risk, Reliability and Quality
Field: Engineering
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W4389540243