Abstract: The evaluation of highway technical conditions is the basic way to understand the performance of highways, and it is also an important basis for performance evaluation of highway maintenance management units and contractors. However, the current evaluation standards for highway technology status lack sufficient consideration of the mutual influence of each type of damage, and the scoring of some indicators exhibits excessive subjectivity. To address these issues, a comprehensive damage evaluation model for the subgrade-asphalt pavement system based on quality function deployment (QFD) and association rules (AR) was proposed. Firstly, Pearson correlation coefficient was used to analyze the correlation between the quantities of various types of damage in the subgrade-asphalt pavement system, clarifying the mutual influence of each type of damage. Subsequently, an evaluation indicator system for the overall damage status of the subgrade-pavement was established, consisting of 6 categories and 29 indicators. By deploying quality functions to systematically consider the subgrade and pavement and embedding AR theory into the QFD model at the same time, an evaluation method for the damage status of subgrade-asphalt pavement was designed by a combination of subjective and objective weighting methods. Finally, based on routine maintenance, major and medium repair maintenance data and highway inspection data of a highway group from 2020 to 2022, the evaluation results of the QFD -AR model were compared with the subgrade condition index (SCI) and pavement condition index (PCI). Sensitivity analysis of the model parameters (damage level standard values) was also carried out. The results indicate that the QFD -AR model is affected by the standard value of damage level, and the degree of impact is related to the proportion of damage caused by that level. The distribution range of QFD -AR model evaluation results is relatively large, which is conducive to distinguishing the damage level of subgrade-asphalt pavement of different regions or companies. The research findings can be applied to the evaluation of the overall damage status of the subgrade-asphalt pavement system in highway networks, providing new ideas for highway technical condition evaluation and offering support for highway maintenance management units to carry out the evaluation and do comprehensive maintenance decision-making.

Key words: highway engineering; highway technical condition evaluation; QFD; subgrade and pavement; association rules

摘要： 公路技术状况评价是了解公路性能的基本途径，也是对公路养护管理单位和承包商进行绩效考核的重要依据。但现行公路技术状况评价标准对各类型损坏的相互影响考虑不足，且部分指标评分主观性过大。为此，提出了基于质量功能部署(quality function deployment，QFD)-关联规则(association rules，AR)的路基-沥青路面整体损坏状况评价模型。首先，采用皮尔逊相关系数对路基-沥青路面各类损坏工程量进行相关性分析，明确各类损坏的相互影响；随后，建立包含6类共29项指标的路基路面整体损坏状况评价指标体系，通过质量功能部署将路基和路面系统性考虑，同时把AR理论嵌入到QFD模型中，采用主客观结合的赋权法，设计出路基-沥青路面损坏状况评价方法；最后，基于某高速公路集团2020—2022年日常养护、大中修养护数据和道路检测数据，将QFD -AR模型评价结果与路基技术状况指数(SCI)和路面损坏状况指数(PCI)进行对比，并进行模型参数(损坏等级标准值)的敏感性分析。结果表明：QFD -AR模型受损坏等级标准值影响，影响程度与该等级所占损坏比例有关；QFD -AR模型评价结果分布区间较大，利于区分不同地区或公司路基-沥青路面损坏等级。研究成果适用于公路网路基-沥青路面整体损坏状况评价，为公路技术状况评价提供了新思路。

关键词: 道路工程；公路技术状况评价；QFD；路基路面；关联规则