同济大学学报（自然科学版）2024，Vol.52Issue(12)：1892-1898,7.DOI:10.11908/j.issn.0253-374x.23105
面向自动化检测的水泥混凝土道面损坏状况评价方法
Automatic Detection and Evaluation of Damage Conditions in Airport Cement Concrete Pavement
摘要
Abstract
Aiming at the fact that the existing airport pavement evaluation methods are not fully applicable to automated detection technology,this paper analyzes the characteristics of current airport pavement automated detection and reclassifies the types of cement concrete pavement diseases.Based on pavement damage data from 32 airports in China,the deduction values for various diseases in the current pavement evaluation specifications are weighted and combined to obtain the deduction values for new disease types.On this basis,the evaluation indicators for the apparent damage,hidden disease,and comprehensive damage condition of airport cement concrete pavement are developed.By comparing and analyzing the measured values of PCI(pavement condition index)and the distribution characteristics of the index values,the grade thresholds of each index were determined.The comparison of the results of manual and automatic detection and evaluation of pavement damage in Xilinhot airport runway block shows that the safety grade obtained by the newly developed cement concrete pavement damage condition evaluation method is consistent with the evaluation grade of PCI.关键词
水泥混凝土道面/自动化检测/道面损坏状况/评价方法Key words
cement concrete pavement/automated detection/damage condition of airport pavement/evaluation method分类
航空航天引用本文复制引用
袁捷,李一凡,汪恒..面向自动化检测的水泥混凝土道面损坏状况评价方法[J].同济大学学报（自然科学版）,2024,52(12):1892-1898,7.基金项目
国家重点研发计划(2019YFB1310603) （2019YFB1310603）
