Article
Engineering, Civil
Dragan Sekulic, Alexey Vdovin, Bengt Jacobson, Simone Sebben, Stian Moe Johannesen
Summary: Through simulation results, it is found that the bus can suitably enter the bridge at a lower speed (e.g., 72 km/h), with the possibility of increasing the speed (up to 90 km/h) after approximately 2 km of traveled distance. The deviation of the vehicle from the path increases with increasing bus speed after entering the bridge, potentially causing difficulty for the driver to control the vehicle.
JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS
(2021)
Article
Engineering, Aerospace
Kyle Blond, Thomas O'Brien, Nathaniel Thompson, David Piotrowski, Anne Clark
Summary: The KC-46A Pegasus is crucial for the US Air Force's efforts to modernize their aging tanker fleet and implementing CBM+ is seen as vital for improving its maintenance program. This study examines existing CBM+ practices on B767 and related aircraft fleets at Delta Air Lines to identify initial steps for applying CBM+ to the KC-46 maintenance program. Specifically, the use of comparative vacuum monitoring (CVM) sensors as a FAA-certified CBM+ technology is proposed for structural health monitoring of the KC-46A. The findings from Delta Air Lines provide a viable template for advancing KC-46A SHM and future CBM+ initiatives.
Article
Chemistry, Analytical
Jianliang Zhang, Jian Zhang, Zhishen Wu
Summary: This paper proposes an anomaly detection method for structural health monitoring (SHM) data based on LSTM network. The method reduces workload for preparing training sets, achieves real-time anomaly detection, and avoids high alarm rate by utilizing double thresholds. The case study and validation results with actual data show that the proposed method can accurately detect abnormal events.
Article
Engineering, Mechanical
Yifu Lan, Zhenkun Li, Weiwei Lin
Summary: This study proposes a novel automatic physics-guided diagnosis framework for bridge health monitoring using only raw vehicle accelerations. Numerical studies were conducted to investigate the relationship between vehicle time-domain signals and bridge damage, leading to the proposal of a new damage index and a location index. The proposed framework was validated through experiments and demonstrated its efficacy in damage indication, quantification, and localization. Comparisons with machine learning-based methods also showed the superiority of the proposed damage index and the rationale for the physics-guided approach.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Environmental Sciences
Bin Zhang, Hua Zhao, Chengjun Tan, Eugene J. OBrien, Paul C. Fitzgerald, Chul-Woo Kim
Summary: This study proposes a vehicle-response-based method for scour detection, which utilizes wavelet transform of vehicle accelerations to obtain wavelet energy to determine the level and location of scour damage. Through numerical simulations and lab experiments, the feasibility of this method is demonstrated, indicating its potential for scour detection.
Article
Engineering, Aerospace
Wim J. C. Verhagen, Bruno F. Santos, Floris Freeman, Paul van Kessel, Dimitrios Zarouchas, Theodoros Loutas, Richard C. K. Yeun, Iryna Heiets
Summary: The research aims to identify challenges and limitations in adopting CBM in aviation, as well as propose solutions and policy implications. The findings highlight the importance of addressing issues related to data quantity and quality, CBM implementation, and integration with future technologies in future research and practice.
Article
Construction & Building Technology
Hing Yan Tong, KaWai Ng
Summary: This study developed a set of bus driving cycles using a cost effective data collection approach, identifying five significantly different bus driving patterns in Hong Kong and developing separate driving cycles for each pattern. The developed cycles can be used for emission and energy consumption estimations for traditional/electric buses under specific driving patterns.
SUSTAINABLE CITIES AND SOCIETY
(2021)
Article
Engineering, Civil
Yifu Lan, Youqi Zhang, Weiwei Lin
Summary: A data-driven approach based on Optimized AdaBoost-Linear SVM is proposed to indicate bridge damage using only raw vibration signals received from a vehicle passing over the bridge. Laboratory experiments are conducted to establish a dataset and train the algorithm to identify bridge health states. The algorithm has better performance than other commonly used algorithms, improving result accuracy by 5% to 16.7%.
ENGINEERING STRUCTURES
(2023)
Article
Engineering, Civil
Yuefeng Shao, Changqing Miao, J. M. W. Brownjohn, Youliang Ding
Summary: This paper presents a random traffic loading method based on actual traffic data for the vehicle-bridge interaction (VBI) system. The method determines the number and type of vehicles based on hourly traffic flow data and simulates the dynamic response of the bridge under bridge operational load. The method has the potential feasibility for analyzing the bridge's dynamic response and comparing it with past structural health monitoring data.
Article
Engineering, Industrial
Xian Zhao, Xiaofei Chai, Shuai Cao, Qingan Qiu
Summary: This study investigates the joint optimization of inspection interval, maintenance, and loading policies for engineering systems operating in a random shock environment. The results demonstrate the significant impact of dynamic working load adjustment on system degradation and long-run expected cost. Additionally, the optimal joint policy is highly dependent on the relationship between the working load and system state deterioration. The findings provide managerial implications for decision-making regarding load regulation and maintenance implementation.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2023)
Article
Engineering, Electrical & Electronic
Prashanth Nagulapally, Md Shamsuddoha, Ginu Rajan, Meera Mohan, B. Gangadhara Prusty
Summary: This study presents continuous strain monitoring of a single riveted lap joint using DFOS technology to assess its performance under fatigue loading conditions. The results demonstrate that DFOS can accurately detect strains under different loading conditions and compare the influence of different adhesives on strain transfer.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2021)
Article
Construction & Building Technology
Yiqing Dong, Dalei Wang, Yue Pan, Yunlong Ma
Summary: This study proposes a vehicle load monitoring system for entire long-span bridge decks, which uses multivision image pre-processing, a modified YOLO-v4 model, a kinematics-enhanced vehicle tracking algorithm, and a data fusion method between vision and Weigh-In-Motion subsystems. The system was tested on a long-span bridge using six cameras, achieving vehicle monitoring of the entire deck with a multi-vehicle tracking precision of 99.28% and a mean Average Precision (mAP) of 96.2% based on the YOLO-v4 model. Comparative results show that the modified YOLO-v4 model outperforms state-of-the-art approaches, and our proposed tracking method surpasses other methods. Our proposed system offers a comprehensive solution for vehicle load monitoring on entire bridge decks, overcoming the limitations of existing methods. Future work could extend the system's capability to include complex traffic patterns.
AUTOMATION IN CONSTRUCTION
(2023)
Article
Engineering, Civil
Jianxiao Mao, Xun Su, Hao Wang, Huan Yan, Hai Zong
Summary: In this paper, a case study on the Qixiashan Yangtze River Bridge is conducted to verify the effectiveness of the generalized fast Bayesian fast Fourier transform (GFBFFT) method in identifying closely spaced modes. The results show that closely spaced modes typically have larger coefficients of variation and higher uncertainty compared to separated modes. Compared with the FDD and SSI methods, the GFBFFT method ensures a higher identification accuracy of modal parameters and can be relied upon to identify closely spaced modes.
INTERNATIONAL JOURNAL OF STRUCTURAL STABILITY AND DYNAMICS
(2023)
Article
Chemistry, Multidisciplinary
Chengjun Tan, Hua Zhao, Nasim Uddin, Banfu Yan
Summary: This paper proposes a wavelet-based approach to detect bridge defects using wavelet energy, and develops a damage index to localize the damage. Numerical simulation results show that the proposed approach performs well even when considering road roughness. Furthermore, the effects of other factors on this approach are investigated.
APPLIED SCIENCES-BASEL
(2022)
Article
Engineering, Multidisciplinary
Ning Hou, Limin Sun, Lin Chen
Summary: This study focuses on modeling vehicle load based on long-term weigh-in-motion data from a long-span cable-stayed bridge, highlighting the importance of using data from operational conditions for safety assessments of bridges. The established model found that concentrated load was significantly higher than values typically used in the design stage, emphasizing the need for more accurate vehicle load models in safety evaluations.
