Pavement Maintenance Management Using Multi-objective Optimization: (Case Study: Wasit Governorate-Iraq)

Document Type : Original Article

Authors

1 Department of Civil Engineering, College of Engineering, University of Wasit, Iraq

2 Department of Civil Engineering, College of Engineering, University of Baghdad, Iraq

Abstract

Limited resources and budget are the most important problem facing the road management sector; therefore, apportionment of maintenance and rehabilitation (M&R) requirements and priorities at the right time and logical are the most significant factors.  Roadway will request continuous (M&R) works to avoid deterioration result from repetitive vehicle weight as well as other factors such as environmental factors. Whether, with the allocation budget that was allocated for roadway maintenance work; there is a necessity to efficiently used the obtainable funding. To execute this, a systematic approach for planning M-and-R process to reach optimum the benefits from roadway segment and minimize necessary funding and costs to repeat the pavement into first state. This process defined as the pavement maintenance management system (PMMS); thus, approach would enable agency to allotted funds, labors, equipment and other resources, most efficiently. This paper demonstrates the applying process of the maintenance program according to the genetic algorithm optimization. The aim of it was to obtain the optimal maintenance strategy alternative percent to reach best values for service life extended as well as increasing the pavement condition index (PCI) along with a specific budget that is not sufficient to restore the whole pavement to its previous state. After applying this program, it was found that it gives the road an additional service life (1.2 years), and at the same time it gives an increase in PCI value (3.8%), taking into consideration the limited resources allocated for maintenance.

Keywords

References

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International Journal of Engineering
Volume 33, Issue 11
TRANSACTIONS B: Applications
November 2020
Pages 2155-2161

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