Computer Vision-Based Bridge Inspection and Monitoring: A Review

Sensors, Год журнала: 2023, Номер 23(18), С. 7863 - 7863

Опубликована: Сен. 13, 2023

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

Язык: Английский

---

Complex background segmentation for noncontact cable vibration frequency estimation using semantic segmentation and complexity pursuit algorithm

Journal of Civil Structural Health Monitoring, Год журнала: 2024, Номер 14(6), С. 1533 - 1554

Опубликована: Апрель 18, 2024

Язык: Английский

---

Tension force estimation of short cable employing axis-shift imaging and multiple mode shapes

Mechanical Systems and Signal Processing, Год журнала: 2024, Номер 218, С. 111543 - 111543

Опубликована: Июнь 1, 2024

Язык: Английский

---

Nondestructive Testing and Health Monitoring Techniques for Structural Effective Prestress

Structural Control and Health Monitoring, Год журнала: 2023, Номер 2023, С. 1 - 30

Опубликована: Сен. 28, 2023

Prestressed structures are widely employed in bridges and large-span spatial structures, the accurate evaluation of prestress state is great importance for structural maintenance. This paper reviews nondestructive testing (NDT) health monitoring techniques effective prestress. Specifically, fiber Bragg grating (FBG) sensor-based, magnetic-elastic (ME) dynamic response-based, ultrasonic guided wave (UGW)-based, electromechanical impedance (EMI)-based, electrical resistance-based methods reviewed this paper. Firstly, principle, application range, measuring accuracy each technique introduced analyzed, benefits limitations summarized: The FBG sensor ME take on high have been applied practical engineering, but they required to be preinstalled during construction; response-based method greatly cable force assessment not suitable prestressed concrete (PSC) structures; UGW-based, EMI-based, shown favorable potential laboratory experiments, their feasibility engineering need verified. Secondly, challenges discussion discussed following four aspects: reliability results, stability durability considering long-term monitoring, cost-efficiency. Finally, a decision tree proposed choose most appropriate specific scenario.

Язык: Английский

---

Fast Force Estimation of Cable Structures Using Smartphone‐Captured Video and Template Matching Algorithm

Structural Control and Health Monitoring, Год журнала: 2024, Номер 2024(1)

Опубликована: Янв. 1, 2024

Cables are important components of long‐span bridge structures, whose operation is significantly affected by cable force changes. Nowadays, testing performed physical methods; that is, sensors installed on the structure to monitor its Obviously, this strategy requires an extensive amount time achieve calculation, which makes it impossible in real time. Meanwhile, smartphones have attracted attention field structural health monitoring (SHM) because their higher cost‐effectiveness than accelerometers, include price and lifespan. Besides, many people own a smartphone, leads possibility wider range applications. Therefore, paper presents framework for rapid estimation bridges based smartphones‐captured video template matching algorithm. First, empirical mode decomposition (EMD) method with wavelet (WD) method, EMDWD model, constructed extract vibration signal eliminating effects smartphone environmental noise measured dynamic displacement, thus effectively improving accuracy data processing. In addition, identification model algorithm established, deformation curve obtained. Finally, frequency suspender calculated Fourier transform (FFT), estimated smartphone‐captured video.

Язык: Английский

---

Computer vision-based non-contact structural vibration measurement: Methods, challenges and opportunities

Measurement, Год журнала: 2024, Номер unknown, С. 116426 - 116426

Опубликована: Дек. 1, 2024

Язык: Английский

---

Engineering vibration recognition using CWT-ResNet

Sound&Vibration, Год журнала: 2025, Номер 59(1), С. 2242 - 2242

Опубликована: Янв. 7, 2025

Multi-source signal recognition is a common problem in engineering vibration control. Given that traditional methods often primarily rely on prior knowledge and expertise, which can limit efficiency accuracy, this study proposed model based ResNet, utilizing continuous wavelet transform to combine processing with deep learning techniques. The converts the original one-dimensional signals into two-dimensional time-frequency representations richer feature information, are then input convolutional layers for automatic extraction, culminating through Softmax layer. To evaluate model’s performance, 20 sets of measured data were tested. results show achieves accuracy 99%, excelling both component separation signals. Therefore, great significance diagnosis, front-end design control, analysis optimization control effectiveness.

Язык: Английский

---

A Unified Parameter Identification Algorithm for Both Rigid and Sagged Cables

Опубликована: Янв. 1, 2025

In frequency-based cable tension identification, it is common to neglect either bending stiffness or sag avoid repetitive solutions transcendental equations optimization problems for each cable. Bending cannot be ignored rigid cables, whereas in some non-contact methods, one must measure the in-plane frequencies that may encounter non-negligible sag. However, there no unified criterion determining whether should neglected various leading methodological empiricism and inconsistency. To address these issues, this paper employs a temporal spatial scaling approach simplify dynamic of sagged yielding general frequency equation corresponding numerical solution dimensionless within parameter space defined by length. Based on universal reciprocal relationship ratio, algorithm identifying both short long cables presented. Using any three measured frequencies, can determine Irvine two unknown parameters tension, stiffness, mass density through simple interpolation, thereby eliminating need complex calculations such as iterative equation-solving. The reliability accuracy proposed method validated comparisons with laboratory experiments, real-life bridge data from references, field test application.

Язык: Английский

---

Full-field modal identification of cables based on subpixel edge detection and dual matching tracking method

Mechanical Systems and Signal Processing, Год журнала: 2025, Номер 226, С. 112321 - 112321

Опубликована: Янв. 18, 2025

Язык: Английский

---

Multi-Point Optical Flow Cable Force Measurement Method Based on Euler Motion Magnification

Buildings, Год журнала: 2025, Номер 15(3), С. 311 - 311

Опубликована: Янв. 21, 2025

This study introduces a multi-point optical flow cable force measurement method based on Euler motion amplification to address challenges in accurately measuring displacement under small conditions and mitigating background interference complex environments. The proposed combines phase-based magnification with an enhance features improve SNR (signal-to-noise ratio) tracking. By leveraging magnified data integrating auxiliary feature points, the approach compensates for equipment-induced vibrations noise, allowing precise identification of vibration modes. methodology was validated using scaled model net structure. results demonstrate method’s effectiveness, achieving significantly higher (e.g., from 7.5 dB 22.24 dB) compared traditional techniques. Vibration frequency errors were reduced 6.2% 1.5%, decreased 11.38% 3.13%. provides practical reliable solution non-contact measurement, offering potential applications structural health monitoring maintenance bridges high-altitude structures.

Язык: Английский

---