Article
Chemistry, Analytical
Dongmei Tan, Tai Guo, Hao Luo, Baifeng Ji, Yu Tao, An Li
Summary: This paper proposes a dynamic early warning method considering the temperature effect for cable-stayed bridges. With the use of GPD extreme value analysis theory and SARIMA model, the monitoring data of a bridge in Wuhan is analyzed and predicted. The comparison with the traditional fixed threshold monitoring system demonstrates that the dynamic threshold has better adaptability and effective monitoring capability for cable-stayed bridges, providing important value for bridge health monitoring.
Article
Construction & Building Technology
Yunwoo Lee, Won-Joo Park, Young-Jong Kang, Seungjun Kim
Summary: Measurement systems using different sensors are well established for the safe use of principal infrastructures, but existing technologies analyzing monitored data are underutilized. This study presents a methodology for monitoring structural response measurement data through pattern changes, which is simple, clear, and easily applicable. The proposed methodology is examined based on the measurement data of an in-service cable-stayed bridge, aiming to relate the pattern of structural responses to the state of the structures for structural health monitoring.
STRUCTURAL CONTROL & HEALTH MONITORING
(2021)
Article
Green & Sustainable Science & Technology
Yong-Qiang Li, Han-Wei Zhao, Zi-Xiang Yue, Yi-Wei Li, Yan Zhang, Da-Cheng Zhao
Summary: CFF is a crucial characteristic of long-span cable-stayed bridges and is affected by temperature-induced variations in cable tension and sag. This study proposes an intelligent real-time prediction model based on the full-bridge temperature field, using the LSTM network for nonlinear fitting performance. The model's superiority is verified through comparison with linear regression and BP network methods, providing a basis for intelligent maintenance and sustainable operation of bridge cables.
Article
Thermodynamics
Hanwen Ju, Wenqiang Zhai, Yang Deng, Min Chen, Aiqun Li
Summary: In structural health monitoring, the temperature time-lag effect can affect the assessment and warning of structure. Existing studies mainly focus on using machine learning models to eliminate this effect, but the training is expensive. This study proposes a novel time-domain translation (TDT) method that reduces the mean square error (MSE) between the original structural deformation data and fitting data to eliminate temperature time-lag effect. The proposed method effectively reduces hysteresis loops and enhances the correlation between bridge structure deformation and temperature data.
CASE STUDIES IN THERMAL ENGINEERING
(2023)
Article
Construction & Building Technology
Yadi Tian, Yang Xu, Dongyu Zhang, Hui Li
Summary: This study proposes global and partial bidirectional long short-term memory (BiLSTM) models to establish a relationship between girder vertical deflection (GVD) and cable tension (CT). The global model shows high accuracy in predicting CT, while the partial model has advantages in training efficiency.
STRUCTURAL CONTROL & HEALTH MONITORING
(2021)
Article
Engineering, Civil
Jianian Wen, Qiang Han, Yazhou Xie, Xiuli Du, Jian Zhang
Summary: This study investigates the optimal design of damper devices at the deck-pylon connections in cable-stayed bridges using a performance-based seismic design approach. The analysis demonstrates that effective optimization of design parameters can significantly reduce overall repair costs, while improper parameter selection may have negative effects on bridge responses.
ENGINEERING STRUCTURES
(2021)
Article
Engineering, Multidisciplinary
Y. C. Ni, M. M. Alamdari, X. W. Ye, F. L. Zhang
Summary: This paper presents the operational modal analysis of a single-tower cable-stayed bridge based on data collected from a SHM system. A fast Bayesian FFT method was used to efficiently determine modal parameters and uncertainty. The study investigated the relationship between modal parameters and temperature, and developed a prediction model incorporating 24-hour data to analyze the probability density function of natural frequency and damping ratio for the bridge deck and cables.
Article
Construction & Building Technology
Xiaoling Liu, Xiyan Yi, Bing Wang, Ying Liu
Summary: A novel method for assessing grouped cable forces using deflection data is proposed in this article, which includes establishing a simplified equation between cable forces and girder deflection, determining the threshold value of cable force change rate, and developing a condition assessment method for grouped cable forces. A case study of a real bridge validates the proposed theoretical equation and shows a decrease in the assessment scores of grouped cables over six years, reflecting the development of other component defects.
Article
Engineering, Civil
Lingfang Li, Yushi Shan, Qiang Jing, Yu Yan, Zili Xia, Yong Xia
Summary: This study investigates the global 3D temperature behavior of a long-span cable-stayed bridge using field monitoring and unified numerical simulation. Results show that the use of a global 3D model allows for accurate prediction of structural displacements and forces, providing an advantage over conventional 2D or local 3D simulations.
ENGINEERING STRUCTURES
(2023)
Article
Engineering, Multidisciplinary
Hyeon Cheol Jo, Soo Hyung Kim, Jisang Lee, Hong-Gyoo Sohn, Yun Mook Lim
Summary: This paper proposes a method for evaluating cable tension using multiple digital images, and the reliability of this method is verified through field tests. The tension evaluated using images is consistent with directly measured values, providing a cost-effective option for determining cable tension in cable-stayed bridges compared to existing systems.
Article
Construction & Building Technology
Luu Xuan Le, Dionysius M. Siringoringo, Hiroshi Katsuchi, Yozo Fujino
Summary: This paper proposes a framework for estimating tensions of stay cables of cable-stayed bridge with and without lateral attachments under limited information on cable properties. The framework is proposed via the application of back-propagation artificial neural networks (ANNs). The feasibility and robustness of the proposed framework were confirmed through numerical verifications.
STRUCTURAL CONTROL & HEALTH MONITORING
(2022)
Article
Construction & Building Technology
Pauline Lin Li Lam, Thomas H-K Kang
Summary: This article examines the influence of tension force on the structural behavior of cable-stayed bridges through finite element modeling and experimental comparison. The parametric study reveals that the number of stay cables, tension, and pattern all affect the structural behavior.
STEEL AND COMPOSITE STRUCTURES
(2022)
Article
Engineering, Electrical & Electronic
Yifeng Huang, Yifan Gao, Xiaoming Wang, Wentao Dong, Daojin Yao, Xiao Cheng, Yong Hu
Summary: This article develops a flexible piezoresistive sensor based on carbon black and carbon nanotubes for detecting the vibration behavior of steel cables in large-span cable-stayed bridges. The study analyzes the force distribution and vibration response of the sensor through experiments and numerical simulations, and designs an intelligent monitoring system for predicting and assessing the health status of the bridge.
IEEE SENSORS JOURNAL
(2023)
Article
Engineering, Civil
Sung-Wan Kim, Dong-Uk Park, Jin-Soo Kim, Jae-Bong Park
Summary: In cable-stayed bridges, cable tension is crucial for evaluating integrity and safety. The direct method of measuring tension using load cells or hydraulic jacks, and the indirect method of calculating tension using cable shape condition and dynamic characteristics are commonly used. This study estimated cable tension using the indirect method and employed a vision-based system to measure cable response. Mathematical morphology was used to distinguish the cable's helical fillet to improve image analysis. The accuracy of the tension was confirmed through comparison with lift-off test measurements and vibration-based estimation.
Article
Construction & Building Technology
Debasish Jana, Satish Nagarajaiah
Summary: This study proposes a video-based stay-cable tension measurement technique for monitoring the health of cables without contact, using image processing techniques to eliminate camera movements. The technology allows real-time tension measurement of stay-cables even in adverse weather conditions, showing promising potential for structural health monitoring.
STRUCTURAL CONTROL & HEALTH MONITORING
(2021)
Article
Engineering, Multidisciplinary
Sicheng Jiao, Shixiang Wang, Minge Gao, Min Xu
Summary: This paper presents a non-contact method of thickness measurement for thin-walled rotary shell parts based on a chromatic confocal sensor. The method involves using a flip method to obtain surface profiles from both sides of the workpiece, measuring the decentration and tilt errors of the workpiece using a centering system, establishing a unified reference coordinate system, reconstructing the external and internal surface profiles, and calculating the thickness. Experimental results show that the method can accurately measure the thickness of a sapphire spherical shell workpiece and is consistent with measurements of other materials.
Article
Engineering, Multidisciplinary
Rajeev Kumar, Sajal Agarwal, Sarika Pal, Alka Verma, Yogendra Kumar Prajapati
Summary: This study evaluated the performance of a CaF2-Ag-MXene-based surface plasmon resonance (SPR) sensor at different wavelengths. The results showed that the sensor achieved the maximum sensitivity at a wavelength of 532 nm, and higher sensitivities were obtained at shorter wavelengths at the expense of detection accuracy.
Article
Engineering, Multidisciplinary
Attilio Di Nisio, Gregorio Andria, Francesco Adamo, Daniel Lotano, Filippo Attivissimo
Summary: Capacitive sensing is a widely used technique for a variety of applications, including avionics. However, current industry standard Capacitive Level Sensors (CLSs) used in helicopters perform poorly in terms of sensitivity and dynamic characteristics. In this study, novel geometries were explored and three prototypes were built and tested. Experimental validation showed that the new design featuring a helicoidal slit along the external electrode of the cylindrical probe improved sensitivity, response time, and linearity.
Article
Engineering, Multidisciplinary
Kai Yang, Huiqin Wang, Ke Wang, Fengchen Chen
Summary: This paper proposes an effective measurement method for dynamic compaction construction based on time series model, which enables real-time monitoring and measurement of anomalies and important construction parameters through simulating motion state transformation and running time estimation.
Article
Engineering, Multidisciplinary
Hui Fu, Qinghua Song, Jixiang Gong, Liping Jiang, Zhanqiang Liu, Qiang Luan, Hongsheng Wang
Summary: An automatic detection and pixel-level quantification model based on joint Mask R-CNN and TransUNet is developed to accurately evaluate microcrack damage on the grinding surfaces of engineering ceramics. The model is effectively trained on actual micrograph image dataset using a joint training strategy. The proposed model achieves reliable automatic detection and fine segmentation of microcracks, and a skeleton-based quantification model is also proposed to provide comprehensive and precise measurements of microcrack size.
Review
Engineering, Multidisciplinary
Sang Yeob Kim, Da Yun Kwon, Arum Jang, Young K. Ju, Jong-Sub Lee, Seungkwan Hong
Summary: This paper reviews the categorization and applications of UAV sensors in forensic engineering, with a focus on geotechnical, structural, and water infrastructure fields. It discusses the advantages and disadvantages of sensors with different wavelengths and addresses the challenges of current UAV technology and recommendations for further research in forensic engineering.
Article
Engineering, Multidisciplinary
Anton Nunez-Seoane, Joaquin Martinez-Sanchez, Erik Rua, Pedro Arias
Summary: This article compares the use of Mobile Laser Scanners (MLS) and Aerial Laser Scanners (ALS) for digitizing the road environment and detecting road slopes. The study found that ALS data and its corresponding algorithm achieved better detection and delimitation results compared to MLS. Measuring the road from a terrestrial perspective negatively impacted the detection process, while an aerial perspective allowed for scanning of the entire slope structure.
Article
Engineering, Multidisciplinary
Nur Luqman Saleh, Aduwati Sali, Raja Syamsul Azmir Raja Abdullah, Sharifah M. Syed Ahmad, Jiun Terng Liew, Fazirulhisyam Hashim, Fairuz Abdullah, Nur Emileen Abdul Rashid
Summary: This study introduces an enhanced signal processing scheme for detecting mouth-click signals used by blind individuals. By utilizing additional band-pass filtering and other steps, the detection accuracy is improved. Experimental results using artificial signal data showed a 100% success rate in detecting obstacles. The emerging concepts in this research are expected to benefit radar and sonar system applications.
Article
Engineering, Multidisciplinary
Jiqiang Tang, Shengjie Qiu, Lu Zhang, Jinji Sun, Xinxiu Zhou
Summary: This paper studies the magnetic noise level of a compact high-performance magnetically shielded room (MSR) under different operational conditions and establishes a quantitative model for magnetic noise calculation. Verification experiments show the effectiveness of the proposed method.
Review
Engineering, Multidisciplinary
Krzysztof Bartnik, Marcin Koba, Mateusz Smietana
Summary: The demand for miniaturized sensors in the biomedical industry is increasing, and optical fiber sensors (OFSs) are gaining popularity due to their small size, flexibility, and biocompatibility. This study reviews various OFS designs tested in vivo and identifies future perspectives and challenges for OFS technology development from a user perspective.
Article
Engineering, Multidisciplinary
Yue Wang, Lei Zhou, Zihao Li, Jun Wang, Xuangou Wu, Xiangjun Wang, Lei Hu
Summary: This paper presents a 3-D reconstruction method for dynamic stereo vision of metal surface based on line structured light, overcoming the limitation of the measurement range of static stereo vision. The proposed method uses joint calibration and global optimization to accurately reconstruct the 3-D coordinates of the line structured light fringe, improving the reconstruction accuracy.
Article
Engineering, Multidisciplinary
Jaafar Alsalaet
Summary: Order tracking analysis is an effective tool for machinery fault diagnosis and operational modal analysis. This study presents a new formulation for the data equation of the second-generation Vold-Kalman filter, using separated cosine and sine kernels to minimize error and provide smoother envelopes. The proposed method achieves high accuracy even with small weighting factors.
Article
Engineering, Multidisciplinary
Tonglei Cao, Kechen Song, Likun Xu, Hu Feng, Yunhui Yan, Jingbo Guo
Summary: This study constructs a high-resolution dataset for surface defects in ceramic tiles and addresses the scale and quantity differences in defect distribution. An improved approach is proposed by introducing a content-aware feature recombination method and a dynamic attention mechanism. Experimental results demonstrate the superior accuracy and efficiency of the proposed method.
Article
Engineering, Multidisciplinary
Qinghong Fu, Yunxi Lou, Jianghui Deng, Xin Qiu, Xianhua Chen
Summary: Measurement and quantitative characterization of aging-induced gradient properties is crucial for accurate analysis and design of asphalt pavement. This research proposes the composite specimen method to obtain asphalt binders at different depths within the mixture and uses dynamic shear rheometer tests to measure aging-induced gradient properties and reveal internal mechanisms. G* master curves are constructed to investigate gradient aging effects in a wide range. The study finds that the composite specimen method can effectively restore the boundary conditions and that it is feasible to study gradient aging characteristics within the asphalt mixture. The study also observes variations in G* and delta values and the depth range of gradient aging effects for different aging levels.
Article
Engineering, Multidisciplinary
Min Li, Kai Wei, Tianhe Xu, Yali Shi, Dixing Wang
Summary: Due to the limitations of ground monitoring stations in China for the BDS, the accuracy of BDS Medium Earth Orbit (MEO) satellite orbits can be influenced. To overcome this, low Earth orbit (LEO) satellites can be used as additional monitoring stations. In this study, data from two LEO satellites were collected to improve the precise orbit determination of the BDS. By comparing the results with GPS and BDS-2/3 solutions, it was found that including the LEO satellites significantly improved the accuracy of GPS and BDS-2/3 orbits.