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Corresponding Author

高杰，男，博士，副教授.E-mail：gaojie@ecjtu.edu.cn

Abstract

The distribution characteristics of internal distress in pavement structures and the corresponding maintenance decisions are crucial for improving road performance and extending service life.Based on three-dimensional ground-penetrating radar (3D GPR ) technology,this study investigated the internal distress of a 12-kilometer section of both driving and overtaking lanes of an expressway in Hubei Province.High-resolution images of internal pavement distress were obtained,and milling maintenance decisions were optimized by employing these images and a modular decision-making model.Through an efficient and non-destructive technique,the distribution characteristics of internal pavement distress were analyzed,and potential distress types were identified,providing a scientific basis for maintenance decision-making.Data analysis revealed the crack rates,damage rates,and distribution characteristics of distresses between different layers and quantified the severity of the damages.Based on the distribution characteristics of distresses,a modular and layered maintenance decision-making method was proposed,and milling treatment plans were developed in response to the crack and damage rates.The study demonstrates that 3D GPR can efficiently and non-destructively identify and assess internal pavement distress and provide accurate data for maintenance decision-making and resource optimization,thus significantly enhancing maintenance efficiency and economic benefits.

Publication Date

6-23-2025

DOI

10.14048/j.issn.1671-2579.2025.03.027

First Page

221

Last Page

231

Submission Date

August 2025

Reference

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