Asphalt Pavement Research On Performance Prediction And Maintenance Decision Optimization For Expressways

Highway maintenance work in China is becoming more and more prosperous.Scientific maintenance planning and decision-making contribute to the allocation of maintenance funds.The key issue is to accurately predict the decay law of pavement performance.As China's pavement structure and materials are continuously improving,the pavement performance is in an excellent state for a long time,and the decay rate is slow.The traditional prediction model of copying and copying is no longer suitable,and a suitable decay equation needs to be proposed.With the development of maintenance technology,the diversification of conservation measures is becoming more and more abundant.It is necessary to study the decay laws after the implementation of different conservation measures to evaluate the effectiveness of the implementation of conservation measures.In addition,the most critical issue is the need to establish an appropriate road maintenance decision-making optimization model.In response to these questions,the main research contents of this paper are as follows:Firstly,the paper cites the test data of highway asphalt performance in 12 documents,and explores the decay characteristics of the performance of highway asphalt pavement in recent years.Using statistical regression method,it is proposed to fit the typical decay forms "concave","convex","inverse S" and "approximate straight line".Compared with Professor Sun Lijun's standard exponential decay equation,the elastic parameter ? is increased,which improves the adaptability of the arctangent decay equation.In the case where the pavement performance decay rate is slow,the physical meaning of the life factor ? is better than the physical meaning of the life factor ? in the standard exponential decay equation.Secondly,in order to overcome the inherent defects of the statistical regression model,the typical probabilistic prediction method Markov chain is used to correct the prediction error of the arctangent decay equation,and the inverse tangent Markov combination prediction which takes into account the advantages of both deterministic and probabilistic prediction models is obtained.The model,and the specific example to verify the prediction accuracy of different decay models.The results show that the average relative error of the standard exponential decay model is 2.67%,the average relative error of the inverse tangent decay model is 0.52%,and the average relative error of the inverse Tang Markov combination prediction model is 0.27%,which proves the two predictions proposed in this paper.The prediction accuracy of the model is higher.Thirdly,the paper relies on the historical data of the maintenance of the ChongqingYuqian Expressway to evaluate the conservation benefits of different conservation measures.With the anti-tangential decay equation,the influencing factors of complex multi-dimensional are transferred to the two-dimensional(using performance,age)decay curve,and the life factor ? indirectly reflects the difference of different influencing factors,and according to the special meaning of the life factor ? It is defined as the long-term benefit of different conservation measures.The results showed that the service life of the 4cm SMA-13,4cmAC-13,milling resurfacing and micro-surfacing measures reached the maintenance standard values were 8.3,7.5,7 and 5.5 respectively.Finally,the paper analyzes the advantages and disadvantages of the existing maintenance decision optimization methods,and on this basis,puts forward the pavement maintenance decision optimization model based on 0-1 integer programming,and applies mathematical substitution to express the model equivalently,so as to input lingo software for solution.Finally,the effectiveness of the model is verified by an example.