沥青路面长期使用性能预测模型浅析
Analysis of a Prediction Model for the Long-term Performance of Asphalt Pavement
朱子昊1
作者信息
- 1. 苏州农业职业技术学院园林工程学院,江苏苏州 215008
- 折叠
摘要
为实现路面养护维修资金的科学配置,需要根据路面使用性能预估未来养护维修需求,从而作出最优养护决策.因此,准确预测沥青路面长期使用性能对路面养护工作意义重大.文章全面综述了沥青路面长期使用性能预测模型的研究进展,详细分析了回归预测、不确定性方法预测、机器学习预测等模型的基本原理、优缺点以及在实际工程中的应用情况,并开展了沥青路面使用性能预测的案例分析.最后,提出了未来的研究方向和建议,为沥青路面养护管理提供有益借鉴.
Abstract
The long-term performance degradation law of asphalt pavement should be predicted to achieve a reasonable allocation of maintenance and repair funds,estimate future maintenance and repair needs,determine appropriate maintenance measures,and their implementation timing.This paper comprehensively reviews the research progress of long-term performance prediction models for asphalt pavement and analyzes in detail the basic principles,advantages,and disadvantages of regression prediction models,uncertainty method prediction models,machine learning models,and their application in practical engineering.Finally,two case studies were conducted to predict the performance of asphalt pavement.Finally,future research directions and suggestions are proposed to provide useful references for asphalt pavement maintenance management.
关键词
沥青路面/长期使用性能/回归预测模型/不确定性方法预测模型/机器学习预测模型Key words
asphalt pavement/long-term performance/regression prediction model/uncertainty prediction model/machine learning predictive model引用本文复制引用
出版年
2024
NETL
NSTL
万方数据