performance prediction and maintainance of flexible pavement

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This paper discusses the performance and maintenance of flexible pavement. The main objectives of this study are to predict the performance of flexible pavement using two distress models in the KENLAYER computer program and eight deterioration models in Highway Development and Management (HDM-4) and provide appropriate maintenance at the appropriate time based on performance using HDM-4. KENLAYER computer program has been used for determining the damage ratio using distress models. HDM-4 computer software has been used for predicting the performance using pavement deterioration models and also for pavement maintenance. Prediction of performance and maintenance has been carried out for the test section located in Mumbai Metropolitan Region, India. This region has a humid, warm, and wet climate prevalent in the west coast of India. The test section has seven layers, and it is a six-lane divided highway. Design life in years has been determined using distress models in the KENLAYER computer program. Asphalt Institute (AI) and Shell design methods have been considered using equivalent standard axle load (ESAL) and spectrum of axle methods of incorporating traffic for the design period. Comparison of design life has been made, and design life using AI design method due to vertical compressive strain on the top of the subgrade has been found to be governing while considering traffic using the spectrum of axle method. Eight deterioration models in HDM-4 have also been used to determine pavement performance. To determine the governing deterioration model, the output of the eight
deterioration models has been compared based on the allowable limits for Indian conditions, and
pavement performance using the cracking model has been found to be governing. Comparison has been made between KENLAYER and HDM-4 output. The analysis of the test section indicates that the life of pavement predicted by HDM-4 is less than that predicted by KENLAYER. Only cracking and roughness have been found out to be critical, and as a result, condition-responsive maintenance has been carried out using HDM-4. HDM-4 is a user friendly software and useful to predict the performance of the pavement and then provide appropriate maintenance at the appropriate time.


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