VNU-UET Repository

Towards Vision-based Concrete Crack Detection: Automatic Simulation of Real-world Cracks

Dinh, Tran Hiep and Vu, Thi Thuy Anh and Nguyen, TruongGiang and Le, Cong Hieu and Nguyen, Linh Trung and Duc, Nguyen Dinh and Lin, Chin-Teng (2021) Towards Vision-based Concrete Crack Detection: Automatic Simulation of Real-world Cracks. Technical Report. VNU University of Engineering and Technology.

Download (11MB)


Recently, automatic pavement crack detection using computer vision has attracted great attention from many research groups globally. One of the major concerns in this field, especially for deep learning-based approaches, is data collection, where human resources, time, and space are essential factors. This process remains a challenging task and significantly influences the results of crack detection algorithms, particularly when applied to large infrastructures such as bridges, dams, and high-rise buildings. This study aims to combine the synthesis of knowledge from fracture mechanics, simulation, machine learning, and research on concrete crack propagation to simulate crack propagation. Based on the simulation results, mathematical models of simulated crack will be generated using machine learning. Experimental results have been conducted on various reputable crack image datasets, showing a high correlation between the simulated cracks and the real-world ones. This novel, interdisciplinary approach is expected to have many useful points for a research area where data collection and labeling are still facing many difficulties.

Item Type: Technical Report (Technical Report)
Additional Information: This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible.
Subjects: Electronics and Communications > Electronics and Computer Engineering
Information Technology (IT)
Engineering Mechanics
Civil Engineering
Divisions: Advanced Insitute of Engineering and Technology (AVITECH)
Department of Civil Engineering and Transportation (CET)
Faculty of Engineering Mechanics and Automation (FEMA)
Depositing User: Tran Hiep Dinh
Date Deposited: 09 Nov 2021 09:38
Last Modified: 09 Dec 2021 09:37

Actions (login required)

View Item View Item