A Review of the Application of Computational-Probabilistic Chain Markov Method in Predicting the Deterioration of Pavement

Behzad Kazemi, Mohammad Mehdi Khabiri

Abstract


Pavement naturally are deteriorating and eroding due to many traffics and environmental conditions. The prediction of pavement performance has an important role in efficiency of pavement management system. By understanding the process and the manner of reduction of pavement service can predict the necessary resources and arrangements to avoid accelerating process of degradation and deterioration. The deteriorated models are tools for predicting the future failure of pavement based on the current status, the causes of failure and the effect of different techniques of repair and rehabilitation for maintaining the level of performance and the status of its structure. In this paper, after stating the concepts of performance and deterioration of road surface, studies has been done in the past decade researches in the world, about Computational-Probabilistic Markov models, transition probability matrix extraction techniques, predictive models and their application in management of the road surface.

Keywords


computational chain Markov, deterioration of road, probabilistic predicting models, pavement maintenance management, semi-Markov model

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References


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