Optimization of Long Range Major Rehabilitation of Airfield Pavements

A procedure has been developed to optimize the planning for major rehabilitative measures for airfield pavements. The procedure is divided into two parts. First, at the project level, an optimum long-range pavement rehabilitative plan is developed for each individual pavement feature (project) of the airfield for each of several levels of funding. The optimum rehabilitative alternative is selected by maximizing the pavement performance as defined by the weighted pavement condition index (PCI) versus time curve. The decision process is modeled by using dynamic programming. The second part of the analysis steps up to the network level of optimization. The criteria for selectin the set of projects is done by maximizing the pavements' performance weighted by the relative value of each project in the network. The rehabilitative projects are selected by using Toyoda's heuristic for 0-1 integer linear programming. The results of the airfield analysis are the selection and timing of major rehabilitative activities. The consequence of many funding levels and any directed work are also determined. Lastly, the pavement engineer can justify an optimum level of funding for long-range planning purposes. The methodology can also be applied directly to highways, roads, and city streets to provide long-range plans for better pavement management.

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