| Chu-Ning Expressway is a national key trunk highway,a core component of the highway network in Anhui,Jiangsu and Henan provinces.Since it was opened to traffic in 2006,creating more economic benefits for the local people.But with the road use time and traffic load increase road surface appeared a variety of diseases.Pavement maintenance not only costs a lot of money and environmental pollution,pavement pre-conservation as a proactive maintenance method,in delaying the destruction of the pavement,increase the use of the pavement period while reducing the cost of the project.In this paper,on the basis of a variety of pre-conservation measures to study the pre-conservation program for Chu-Ning highway pavement,to provide reference for the relevant maintenance personnel and management,has a certain economic and social significance.Translated with www.DeepL.com/Translator(free version)This paper is based on the Chu-Ning Expressway pavement inspection data,using descriptive statistics to analyze the pavement damage situation.With the help of SPSS data analysis software,the main factors affecting the pavement performance of the Chu-Ning Expressway are explored.The generalized weighted combination prediction method is used to construct a prediction model suitable for the Chu-Ning Expressway.Based on the cost-benefit assessment method to calculate the timing of premaintenance,a multi-objective decision algorithm was used to determine the final solution.The main research elements are as follows.(1)The descriptive statistics method was used to summarize and analyze the Chu-Ning Expressway pavement inspection data from 2010 to 2019 to summarize the main types of diseases of the pavement.Then based on the main diseases,combined with asphalt pavement performance evaluation standards and technical specifications for asphalt pavement maintenance,the Chu-Ning Expressway pavement condition evaluation index system was established.(2)with the SPSS data analysis software,the use of factor analysis,sorting out the factors affecting the Chu-Ning Expressway pavement performance,the main factors as independent variables,pavement performance as the dependent variable,respectively,the establishment of gray prediction model and BP neural network prediction model,based on generalized weighted average method for the combination of prediction weighting coefficients,the construction of a combination of prediction model,and finally through example analysis,grasp the Chu-Ning Expressway pavement future development trend.(3)the use of the list of common methods to calculate the timing of asphalt pavement premaintenance,briefly explain the advantages and limitations of each,through analysis and selection,the cost-benefit method to quantitatively calculate the time of premaintenance,the cost of equal annual cost method,the benefit of the decay curve and the critical value of the enclosed area calculation,the final Chu-Ning Expressway premaintenance time.(4)Based on the multi-objective decision algorithm,the objective function is constructed with the goal of saving cost,reducing environmental cost and social cost,and with the help of MATLAB platform,the program of multi-objective is written and run to get several pre-conservation programs,and the final pre-conservation program is determined through program comparison.The research results show that the effective combination of gray system and BP neural network can predict the pavement decay trend more accurately,so as to select the best maintenance time,and the multi-objective decision algorithm with MATLAB software as a platform can quickly and purposefully propose a premaintenance plan that meets the Chu-Ning Expressway asphalt pavement.The proposed program is not only applicable to this project,but also can provide reference for similar projects. |
PDF Full Text Request