Asphalt Pavement Performance Evaluation Based On Nonlinear Fuzzy Method And Study On Optimal Timing Of Preventive Maintenance

With the rapid development of highway construction and in a large number of highway constructions continues at the same time, the highway was put into use have also experienced varying degrees of damage. The situation is even grim on highway maintenance work. Therefore we need to put special emphasis on preventive conservation highway in order to relieve the pressure in the highway management department funds for road maintenance. Preventive Maintenance is a planned strategy of cost-effective treatments to an existing roadway system and it’s appurtenances that preserves the system, retards future deterioration, and maintains or improves the functional condition of the system(without significantly increasing the structural capacity). This paper considers the characteristics of the asphalt pa vement preventive maintenance and combines the existing pavement performance evaluation criteria. Proposed asphalt pavement preventive maintenance nonlinear fuzzy evaluation model for synthetically evaluating the performance of asphalt pavement and life-cycle method for judging the optimum time of asphalt pavement preventive. The main findings are as follows:Firstly, this paper introduces the commonly used at home and abroad asphalt pavement preventive maintenance measures and summarizes the advantages and applicable conditions of the preventive maintenance, provide a basis for preventive maintenance measures for asphalt pavement selection. At the same time,this paper introduces the preventive maintenance decision method,for example:decision tree and decision matrix method,comprehensive evaluation method,benefit cost method and life-cycle cost method.The decision method provides a theoretical method of preventive maintenance measures for pavement maintenance management decision making.Secondly, we introduce the concept of pavement sections for preventive maintenance.Paper apply hierarchical cluster method and system cluster method to divide the classified the pavement sections. This approach overcomes the limitations of traditional methods that divide the classified the pavement sections which can accurate for different sections of conservation programs.Then,there are some shortcomings of subjectivity about the existing methods to assess the pavement performance.The impact factors of asphalt pavement performance are hisrarchical,fuzzy and complex.In this paper,the nonlinear fuzzy method was used to evaluate the performance of the asphalt pavement. Select the pavement condition index, riding quality index, pavement structure strength index;side-way force coefficient and rutting depth asphalt pavement performance evaluation index as the index. The weight coefficient of each index was determined by the interval number method and analytic hieraechy process which can reduce the influence of the subjective factors.The introduction of outstanding influence coefficient can reflect the performance impact on the performance of pavement in different degree which can make up for the deficiencies of the traditional linear fuzzy evaluation.This method can objectively reflect the position in the network of road which can provides a basis for road management department to make preventive plan.Finally, the economy and effectiveness of the preventive maintenance largely depends on when the preventive maintenance measures was implement.This paper focus on researching the optimal timing to apply the preventive maintenance measures.Life-Cycle cost method is considered form the analysis period of pavement or the whole life cycle of pavement and compared the equivalent average annual cosy for each maintenance programs to determine the optimal timing of preventive maintenance.Through the analysis of an engineering example,we use the Life-Cycle cost method to demermine the optimal timing of asphalt pavement preventive maintenance.