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Abstract

Often preventive maintenance (PM) performed to a pavement does not restore a condition to as good as new. This study presents a practical pavement maintenance policy based on imperfect PM and mechanistic–empirical analysis. The international roughness index is used as the condition indicator. The policy is based on an increased hazard rate model from one cycle to the next and on a minimum reliability threshold. Monte Carlo simulations are used to develop the reliability function of flexible pavements, from which the hazard rate function is determined. The change of hazard rate from one cycle to the next is modeled with the age reduction factor and the hazard-rate increase factor. The expected cost per unit time of the pavement is minimized such that the minimum reliability is always maintained. The minimization procedure produces the number of PM cycles required. Case studies are presented with analyses of results showing the application of the procedure. The study indicates that hazard-rate function increases over time, and more-frequent PM actions are needed when the selected threshold reliability level is higher.

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Imperfect Preventive Maintenance Strategy for Flexible Pavements Based on Threshold Reliability,Cost Optimization,and Mechanistic–Empirical Analysis

Abstract

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