Corrosion detection and evaluation for steel wires based on a multi-vision scanning system

Dong, Yiqing; Pan, Yue; Wang, Dalei; Cheng, Tianzheng

doi:10.1016/j.conbuildmat.2021.125877

Cited by 14 publications

(4 citation statements)

References 29 publications

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“…Forkan et al [ 89 ] proposed a framework for detecting corrosion of steel bridges based on UAV vision. Dong et al [ 90 ] proposed a multi-vision scanning system for detecting corrosion on cable surfaces and used a panoramic image stitching processing algorithm to identify corrosion defects on the surface of the cables. Hou et al [ 91 ] proposed an automatic detection method for surface defects of cables based on the Mask R- CNN network.…”

Section: Cv-based Surface Defect Detectionmentioning

confidence: 99%

Computer Vision-Based Bridge Inspection and Monitoring: A Review

Luo,

Kong,

Zhang

et al. 2023

Sensors

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Bridge inspection and monitoring are usually used to evaluate the status and integrity of bridge structures to ensure their safety and reliability. Computer vision (CV)-based methods have the advantages of being low cost, simple to operate, remote, and non-contact, and have been widely used in bridge inspection and monitoring in recent years. Therefore, this paper reviews three significant aspects of CV-based methods, including surface defect detection, vibration measurement, and vehicle parameter identification. Firstly, the general procedure for CV-based surface defect detection is introduced, and its application for the detection of cracks, concrete spalling, steel corrosion, and multi-defects is reviewed, followed by the robot platforms for surface defect detection. Secondly, the basic principle of CV-based vibration measurement is introduced, followed by the application of displacement measurement, modal identification, and damage identification. Finally, the CV-based vehicle parameter identification methods are introduced and their application for the identification of temporal and spatial parameters, weight parameters, and multi-parameters are summarized. This comprehensive literature review aims to provide guidance for selecting appropriate CV-based methods for bridge inspection and monitoring.

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Section: Cv-based Surface Defect Detectionmentioning

confidence: 99%

Computer Vision-Based Bridge Inspection and Monitoring: A Review

Luo,

Kong,

Zhang

et al. 2023

Sensors

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“…Due to many advantages that draw attention to the presented designs [6,7], previous studies were aimed at clarifying the mechanism of development of the stress-strain state of CFST elements with a hardened core for a more reliable and specific assessment of their characteristics [8][9][10][11][12][13][14][15].…”

Section: Research and Publications Analysismentioning

confidence: 99%

Modelling and experimental studies of the stress-strain state of compressed concrete filled steel tube elements of a continuous section

Yermolenko,

Sakhno,

Palyvoda

et al. 2023

IOP Conf. Ser.: Earth Environ. Sci.

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Modern building structures must meet the requirements of efficiency and resource-saving. The main direction for implementing these requirements is to reduce the consumption of steel (14–16%) and save cement (10–12%). These tasks can be solved through the rational combination of concrete and steel when they work together and the use of high-strength materials. One embodiment of this task is the use of Concrete Filled Steel Tube (CFST) structures. The purpose of this study is to identify the possibility of using the Drucker-Prager model by comparing the results of test studies on short compressed Concrete Filled Steel Tube (CFST) elements with different strength and deformation characteristics of the concrete core to the results from finite element analysis (FEA) modelling of corresponding CFST elements. Additionally, the behaviour of a steel pipe without a concrete core was investigated. The results show that the FEA method used in this work is sufficiently accurate for studying the behaviours of short CFST elements. The modelling technique adopted in the study made it possible to consider the redistribution of stresses in the concrete and pipe dynamically. The stress distribution patterns inside the concrete during both linear and non-linear deformations of CFST elements, as well as the characteristics of the interaction between the concrete and pipe in the contact zone, have been revealed.

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“…Machine vision techniques, known for their capacity to monitor large areas, have gained widespread attention and application in bridge engineering 14 . They are particularly valuable in load monitoring 15 , 16 , displacement measurement 17 , 18 , and structural damage identification 19 , 20 . In load monitoring, these techniques enable the identification and recording of spatial-temporal vehicle information on the bridge deck 21 .…”

Section: Introductionmentioning

confidence: 99%

Comparative study on fatigue evaluation of suspenders by introducing actual vehicle trajectory data

Pan,

Dong,

Wang

et al. 2024

Sci Rep

Self Cite

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Suspenders play a crucial role in transmitting loads from the bridge deck to the main cable in a suspension bridge. They are susceptible to fatigue due to repeated dynamic loads, particularly traffic loads. Traffic Load Models (TLMs), typically created using Monte–Carlo simulation and Weigh-In-Motion (WIM) data, are employed to evaluate this fatigue. However, these models often overlook practical vehicle trajectories and spatio-temporal distribution, which compromises the precision of fatigue assessments. In this study, we introduce a novel 2D Intelligent Driver Model (2D-IDM) that incorporates actual vehicle trajectories, with a particular focus on transverse vehicle movement. This enhancement aims to improve the fidelity of existing TLMs. To provide a clear, qualitative, and quantitative understanding of the effects of fatigue evaluation with or without actual trajectory characteristics, we have structured this paper as a comparative study. We compare our proposed model, denoted as TLM S-3, with two observation-based models (O-1 and O-2) and two simulation-based models (S-1 and S-2). We conducted an experimental case study on a long-span suspension bridge, where the actual traffic load trajectory was obtained using a WIM-Vision integrated system. To calculate fatigue damage considering both longitudinal and transverse directions, we established a multi-scale Finite Element Model (FEM) using solid element types to simulate the bridge girder. This model can generate the stress influence surface of the bridge and has been verified in both static and dynamic aspects. Our detailed comparative analysis demonstrates the consistency of the proposed 2D-IDM with the actual measured traffic load trajectories. This indicates that our approach can enhance the fidelity and precision of fatigue evaluations for bridge suspenders.

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Corrosion detection and evaluation for steel wires based on a multi-vision scanning system

Cited by 14 publications

References 29 publications

Computer Vision-Based Bridge Inspection and Monitoring: A Review

Computer Vision-Based Bridge Inspection and Monitoring: A Review

Modelling and experimental studies of the stress-strain state of compressed concrete filled steel tube elements of a continuous section

Comparative study on fatigue evaluation of suspenders by introducing actual vehicle trajectory data

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