The fuzzy model developed in this work has been demonstrated with a case study. The maintenance strategies suggested are routine and preventive maintenance, major and minor rehabilitation and reconstruction. The triangular membership function is used in this study. An experts’ survey was conducted to define the boundaries of the membership functions of the input (distresses) and output (PCI and maintenance strategies) parameters. The outputs are the pavement condition index (PCI) and the maintenance strategy to be adopted. The distress density is given as inputs in the fuzzy prioritization model. The distresses of ICBP considered in this study are rutting, depression and damaged paver blocks. This research is an attempt to implement fuzzy logic for the purpose of maintenance prioritization on ICBP. ![]() From the review of past literature, it is observed that fuzzy logic has not been used to evaluate interlocking concrete block pavements (ICBP). There are different maintenance prioritization mechanisms exist to evaluate a pavement. Prioritization of maintenance work enables to allocate fund and resources in an effective way based on the performance evaluation of the pavement section(s). Pavement maintenance demand large amount of fund, resources and time. Maintenance actions help to delay the rate of pavement deterioration. The combined influence of traffic and environment causes every pavement to deteriorate over time.
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