首页|基于数字全息三维检测的沥青路面车辙预防养护辅助设计方法及应用

基于数字全息三维检测的沥青路面车辙预防养护辅助设计方法及应用

扫码查看
车辙作为沥青路面常见病害之一,其对路面使用寿命和交通安全具有重要的影响.当沥青路面出现中轻度车辙时,在预防养护过程中,车辙形变会导致养护材料用量增加.因此,在养护设计中能否准确计算填补车辙材料用量,对于保证养护质量和养护效率意义重大.该文基于实体养护工程需求,分析传统车辙检测方法和数据在养护设计中存在的问题,提出一种采用数字全息三维检测技术的沥青路面车辙预防养护辅助设计方法.该方法通过数字全息三维检测技术,能够全面获取路面连续高精度三维数据并建立三维模型,通过仿真模拟精准计算填补车辙养护材料用量,有效提高了预防养护的精准性.通过实体工程验证,结果表明:基于数字全息三维检测的沥青路面车辙预防养护辅助设计方法,能够将车辙预防养护材料用量负偏差控制在5%以内,与基于传统检测方法和数据的养护设计相比(材料用量负偏差超过50%),效果显著.
Aided Design Method and Application of Rutting Prevention and Maintenance in Asphalt Pavement Based on Digital Holographic 3D Detection
As one of the common diseases of asphalt pavement,rutting has significant impacts on the service life and traffic safety of the pavement.Mild rutting in asphalt pavement during preventive maintenance can lead to increased use of maintenance materials due to rutting deformation.Accurately calculating the amount of materials needed to fill rutting in maintenance designs is of great significance for ensuring maintenance quality and efficiency.Based on the requirements of maintenance engineering,this paper analyzed the problems in maintenance designs that use traditional methods and the data they generate for rutting detection.A design method was proposed for rutting prevention and maintenance in asphalt pavement,assisted by digital holographic 3D detection.With this detection technology,continuous high-precision 3D data of road surfaces were obtained,and a 3D model was constructed.The amount of materials needed to fill rutting was accurately calculated through simulation,indicating that the proposed method can effectively improve the accuracy of preventive maintenance.The results from physical testing show that the proposed design method can achieve a negative deviation of material usage for rutting prevention and maintenance within 5%.The method is highly effective compared with maintenance designs based on traditional detection methods and data(with a negative deviation of material usage exceeding 50%).

road maintenancedigital holographic 3D detection3D road surface data modelpreventive maintenance designrutting maintenance materials usage

王敬飞、王旺、许新权、黄智健、题晶、姚艳茹

展开 >

广东交科技术研发有限公司,广东 广州 510550

北京崇理科技有限公司,北京市 100081

公路养护 数字全息三维检测 路面三维数据模型 预防养护辅助设计 车辙养护材料用量

广东省交通集团有限公司项目

JT2023YB15

2024

中外公路
长沙理工大学

中外公路

CSTPCD
影响因子:0.626
ISSN:1671-2579
年,卷(期):2024.44(3)
  • 1
  • 14