Advances in automatic identification of road subsurface distress using ground penetrating radar: State of the art and future trends

Liu, Chenglong; Du, Yuchuan; Yue, Guanghua; Li, Yishun; Wu, Difei; Li, Feng

doi:10.1016/j.autcon.2023.105185

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Automation in Construction

2024

DOI: 10.1016/j.autcon.2023.105185

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Advances in automatic identification of road subsurface distress using ground penetrating radar: State of the art and future trends

Chenglong Liu,

Yuchuan Du,

Guanghua Yue

et al.

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2024

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Cited by 3 publications

References 90 publications

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From global challenges to local solutions: A review of cross-country collaborations and winning strategies in road damage detection

Arya,

Maeda,

Sekimoto

2024

Advanced Engineering Informatics

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From global challenges to local solutions: A review of cross-country collaborations and winning strategies in road damage detection

Arya,

Maeda,

Sekimoto

2024

Advanced Engineering Informatics

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Research on distributed strain monitoring of a bridge based on a strained optical cable with weak fiber Bragg grating array

Yue,

Wang,

Liu

et al. 2024

Opt. Express

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The foundation of an intelligent highway network is the construction of a high-density distributed strain monitoring system, which is based on sensing elements that can sensitively capture external information. In this research, the development and application for the structure of a novel strained optical fiber cable based on the weak fiber Bragg grating (wFBG) arrays are discussed. A modulation and demodulation solution of wavelength division multiplexing combined with time division multiplexing is developed by utilizing the property by which the wavelength of the strained optical fiber cable is periodically switched. Further, the strain transfer model of the optical cable is analyzed hierarchically using the theory of elasticity. The strain transfer coefficients of the overhanging region and the gluing region are combined to deduce the sensitivity model of the strained optical fiber cable. Moreover, the finite element technique is integrated to optimize the structural parameters of the optical cable for high-sensitivity or large-scale range. The strained optical fiber cable based on wFBG arrays is applied to a steel-concrete composite bridge. The static and dynamic loading tests show that the sensing optical cable can be monitored for strain variation in order to realize the functions of lane identification, weighing vehicle tonnage as well as velocity discrimination.

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Performance Evaluation of Convolutional Neural Network Models for Classification of Highway Hidden Distresses with GPR B-Scan Images

Jin,

Liu,

Cai

et al. 2024

Applied Sciences

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Despite the considerable advancements in automated identification methods of highway hidden distress with ground-penetrating radar (GPR) images, there still exist challenges in realizing automated identification of highway hidden distress owing to the quantity, variability, and reliability of the distress samples and diversity of classification models. Firstly, the dataset collected contains 31,640 samples categorized into four categories: interlayer debonding, interlayer loosening, interlayer water seepage, and structural loosening from 1500 km highway, for obtaining larger enough samples and covering the variable range of distress samples. Secondly, the distresses were labeled by experienced experts, and the labels were verified with drilled cores to ensure their reliability. Lastly, 18 exemplary convolutional neural network (CNN) models from 8 different architectures were evaluated using evaluation metrics such as precision, recall, and f1-score. Further, confusion matrix and Grad-CAM techniques were utilized to analyze these models. The experimental results show that VGG13 performed most prominently and stably, while the lightweight network SqueezeNet1_1 performed particularly well with a batch size of 64. Furthermore, this study indicates that models with fewer layers can achieve comparable or better performance than deeper models.

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Advances in automatic identification of road subsurface distress using ground penetrating radar: State of the art and future trends

Cited by 3 publications

References 90 publications

From global challenges to local solutions: A review of cross-country collaborations and winning strategies in road damage detection

From global challenges to local solutions: A review of cross-country collaborations and winning strategies in road damage detection

Research on distributed strain monitoring of a bridge based on a strained optical cable with weak fiber Bragg grating array

Performance Evaluation of Convolutional Neural Network Models for Classification of Highway Hidden Distresses with GPR B-Scan Images

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