Hyperbola Occurrence in GPR Radargrams of Cracked Road Pavements: A Numerical Comparison of Top-Down and Bottom-Up Cracking

Ground-penetrating radar is widely used in non-destructive pavement evaluation, but the occurrence of multiple hyperbolic signatures in radargrams of cracked pavements remains insufficiently characterized, particularly for top-down and bottom-up cracking. This study investigates the occurrence of de...

Full description

Bibliographic Details
Published in:	Infrastructures
Main Authors:	Grigório Neto, Jorge Pais, Simona Fontul, Francisco Fernandes
Format:	Article
Language:	English
Published:	MDPI AG 2026-06-01
Subjects:	GPR cracked pavements top-down cracking bottom-up cracking radargrams hyperbola occurrence
Online Access:	https://www.mdpi.com/2412-3811/11/6/188

Similar Items

Investigation of asphalt pavement crack propagation based on micromechanical finite element: A case study
by: Xu Xia, et al.
Published: (2023-12-01)

Automatic Object Detection in Radargrams of Multi-Antenna GPR Systems Based on Simulation Data for Railway Infrastructure Analysis
by: Lukas Lahnsteiner, et al.
Published: (2024-04-01)

Hyperbola Detection with RetinaNet and Comparison of Hyperbola Fitting Methods in GPR Data from an Archaeological Site
by: Tina Wunderlich, et al.
Published: (2022-07-01)

DETECTION OF CRACKS IN ASPHALT PAVEMENT DURING ROAD INSPECTION PROCESSES
by: Marcin STANIEK
Published: (2017-09-01)

Mechanical response analysis of asphalt pavement considering top-down crack based on FDM-DEM coupling simulation
by: Min Wang, et al.
Published: (2025-03-01)

Detection and Characterization of Cracks in Highway Pavement with the Amplitude Variation of GPR Diffracted Waves: Insights from Forward Modeling and Field Data
by: Shili Guo, et al.
Published: (2022-02-01)

Crack Segmentation Extraction and Parameter Calculation of Asphalt Pavement Based on Image Processing
by: Zhongbo Li, et al.
Published: (2023-11-01)

Crack-MsCGA: A Deep Learning Network with Multi-Scale Attention for Pavement Crack Detection
by: Guoxi Liu, et al.
Published: (2025-04-01)

Pavement Crack Detection from Mobile Laser Scanning Point Clouds Using a Time Grid
by: Mianqing Zhong, et al.
Published: (2020-07-01)

Pavement Distress Analysis in Malaysia: A Novel DeepSeg-CrackNet Model for Crack Detection and Characterization Using Real-World Data
by: Arselan Ashraf, et al.
Published: (2025-10-01)

An Improved Crack Identification Method for Asphalt Concrete Pavement
by: Yongshang Li, et al.
Published: (2023-07-01)

Pavement Crack Detection from Hyperspectral Images Using a Novel Asphalt Crack Index
by: Mohamed Abdellatif, et al.
Published: (2020-09-01)

Investigating the Performance of Cracked Asphalt Pavement Using Finite Elements Analysis
by: Milad Tajdini, et al.
Published: (2020-06-01)

Nondestructive diagnostics and detection of subsurface cracks in non-rigid pavements with GPR
by: Dmitry Olegovich Batrakov, et al.
Published: (2021-05-01)

Investigation of the Fatigue Life of Bottom-Up Cracking in Asphalt Concrete Pavements
by: Gang Cheng, et al.
Published: (2022-11-01)

Crack Detection and Classification in Moroccan Pavement Using Convolutional Neural Network
by: Wafae Hammouch, et al.
Published: (2022-11-01)

An Intelligent Detection and Classification Model Based on Computer Vision for Pavement Cracks in Complicated Scenarios
by: Yue Wang, et al.
Published: (2024-03-01)

An Efficient Method for Detecting Asphalt Pavement Cracks and Sealed Cracks Based on a Deep Data-Driven Model
by: Nan Yang, et al.
Published: (2022-10-01)

Detection of Human Remain Using GPR Technique
by: Hassan A. Attar, et al.
Published: (2017-04-01)

DepthCrackNet: A Deep Learning Model for Automatic Pavement Crack Detection
by: Alireza Saberironaghi, et al.
Published: (2024-04-01)

Pavement Distress Analysis in Malaysia: A Novel DeepSeg-CrackNet Model for Crack Detection and Characterization Using Real-World Data
by: Arselan Ashraf, et al.
Published: (2025-10-01)

Automatic Detection of Cracks in Asphalt Pavement Using Deep Learning to Overcome Weaknesses in Images and GIS Visualization
by: Pang-jo Chun, et al.
Published: (2021-01-01)

A Lightweight and High-Accuracy Model for Pavement Crack Segmentation
by: Yuhui Yu, et al.
Published: (2024-12-01)

AsphaltCrackNet: A Novel Architecture for Classifying Cracks in Asphalt Pavement
by: Leopold Fischer-Brandies, et al.
Published: (2025-01-01)

The Crack Diffusion Model: An Innovative Diffusion-Based Method for Pavement Crack Detection
by: Haoyuan Zhang, et al.
Published: (2024-03-01)

Cracking Characteristics of Different Crack Forms in Pavement under Moving Load
by: Guannan YAN
Published: (2024-03-01)

Crack45K: Integration of Vision Transformer with Tubularity Flow Field (TuFF) and Sliding-Window Approach for Crack-Segmentation in Pavement Structures
by: Luqman Ali, et al.
Published: (2022-12-01)

Enabling Real-Time, Cost-Efficient, and Lightweight High-Speed Crack Segmentation using Self-Supervised Attention Mechanism
by: Wei Wei, et al.
Published: (2026-04-01)

SUT-Crack: A comprehensive dataset for pavement crack detection across all methods
by: Mohammadreza Sabouri, et al.
Published: (2023-12-01)

"Analysis on top-down cracking resistance of rubber-plastic modified asphalt pavement"
by: HE Wei, LI Xin
Published: (2023-05-01)

Improving Fatigue and Rutting Resistance of Road Pavements Using Aramid Fibers
by: Jorge Pais, et al.
Published: (2023-09-01)

Pavement Crack Detection Based on the Improved Swin-Unet Model
by: Song Chen, et al.
Published: (2024-05-01)

Cracking of tunnel bottom structure influenced by carbonaceous slate stratum
by: Yiding Zhao, et al.
Published: (2019-03-01)

Intelligent recognition of pavement crack based on RM-YOLOv5s algorithm
by: Yuan Pan, et al.
Published: (2025-12-01)

A Novel YOLO Algorithm Integrating Attention Mechanisms and Fuzzy Information for Pavement Crack Detection
by: Qingqing Li, et al.
Published: (2025-06-01)

Improving Segmentation Accuracy for Asphalt Pavement Cracks via Integrated Probability Maps
by: Roman Trach, et al.
Published: (2025-09-01)

Simulation study on crack extension law of asphalt pavement under temperature effect
by: Jing Xie, et al.
Published: (2024-12-01)

Investigation of cracking behavior in asphalt pavement using digital image processing technology
by: Jie Jiang, et al.
Published: (2025-04-01)

Evaluation of Asphalt Overlay Properties on Reflection Cracking Behavior of Composite Pavement Using Finite Element Modeling
by: Mohamed Gamal, et al.
Published: (2025-01-01)

Prediction of the Crack Front Shape of the Corner Interface Crack
by: Jelena M. Djoković, et al.
Published: (2023-11-01)