Multiobjective optimization of maintenance scheduling: application to slopes and retaining walls

2016-01-01

Denysiuk, Roman; Matos, José C.; Tinoco, Joaquim Agostinho Barbosa; Miranda, Tiago F. S.; Correia, A. Gomes

Maintenance scheduling; Multiobjective optimization; Evolutionary algorithms

This paper presents a computational framework for maintenance scheduling for road assets.This framework incorporates degradation and maintenance models along with optimization ofmaintenance strategies. Uncertainties inherit in the degradation process and effects of maintenanceactions are addressed by considering model parameters as random variables and employingMonte Carlo simulation to estimate the future performance. The optimization involves theconsideration of multiple objectives and the constraints satisfaction. The design variables arethe type of maintenance actions and time of application. The objectives are the minimizationof asset degradation and maintenance costs. The focus of experimental study is on slopes andretaining walls that are an integral part of many existing road networks. The obtained resultsdemonstrate the validity and usefulness of the proposed framework. The presented frameworkcan be generalized and applied to different types of infrastructure assets.