Journal of Vibroengineering

Journal of Vibroengineering, (in Press).Guansi Liu, Hui Jin, Keqin DingLocal damages such as microcracks and corrosion in crane steel structures often exhibit strong localization and weak mode shape perturbation characteristics. Especially when the damage scale is smaller than the modal wavelength, it cannot be simply treated as an overall damage issue for identification. In response to the diverse damage modes of crane structures and the need for dense sensor placement for local identification, a sensor optimization placement method based on multi-level damage feature fusion is proposed. Firstly, structural sub-regions are divided according to the main beam diaphragms, and sensors are arranged with boundary points as key measurement points. The displacement frequency response amplitude changes before and after damage are utilized to identify damage and eliminate insensitive measurement points to complete preliminary optimization. Secondly, a displacement frequency response amplitude change matrix is constructed, and the damage signal is enhanced through cross-frequency weighted superposition to form a damage identification vector, accurately locating the damage occurrence area. Furthermore, node-level correction is performed in candidate areas based on displacement flexibility difference values, and precise localization of damage points is achieved through priority sorting of flexibility differences. Simulation results show that under the condition where corrosion damage is set in units 20739, 20762, and 20785, the maximum point of the flexibility difference damage index is located in unit 20762, which coincides with the preset damage location, verifying the effectiveness of the hierarchical placement strategy from initial damage screening to precise localization.

Journal of Vibroengineering, (in Press).Jiuqing Zhou, Mingyou Chen, Leifa Li, Guanghui Zhang, Daming LinBridge resilience assessment enables bridges to maintain their structural integrity and functionality in the face of loads and disasters, improves their reliability and recovery capability, and ensures the smooth flow of transportation. This study focuses on the assessment methods and indicator selection for the seismic resilience of bridges, summarizing the latest research progress in this field. It reviews the development history of commonly used bridge resilience assessment methods and frequently used assessment methods, and comparatively analyzes the advantages and disadvantages of experimental research and numerical simulation. Several bridge resilience assessment frameworks and evaluation models are introduced, including those for single bridges as well as for entire bridge networks, to assist researchers in selecting appropriate models and frameworks based on actual conditions. The key indicators for the seismic resilience assessment of bridges are reviewed, including structural strength, deformation capacity, durability, and reparability. Finally, future directions for research are proposed. The research indicates that assessment methods for bridge resilience under the coupled effects of multiple hazards are not yet mature and require further investigation. The close integration of intelligent algorithms with bridge resilience assessment is an important future research direction. This review aims to further promote the research and application of seismic resilience assessment for bridges.

Journal of Vibroengineering, (in Press).Wei Xiong, Yong-Kun Guo, Zhong-Di Deng, Hai-Bo Zhang, Shuo LvThe face teeth of wheel hub bearing are manufactured using a two-step rotary riveting forming process. Controlling the forming force and improving the tooth profile fullness are critical, as these factors directly affect bearing performance. This study employs DEFORM finite element simulation combined with experimental verification to analyze the influence of structural and process parameters – including blank dimensions, pre-riveting state, feed rate, spindle rotation speed, and riveting inclination angle – on the forming force and tooth profile fullness. Optimal structural and process parameters are thereby determined. The results indicate that among blank structural parameters, wall thickness has the greatest impact on tooth profile fullness, followed by inner corner radius, with outer corner radius having the least effect. Optimized blank dimensions improve profile fullness and reduce forming force. The pre-riveting state significantly influences the tooth forming process, a fully riveted state reduces axial forming force by 24.9 % compared to a non-riveted state and markedly improves profile fullness. A smaller feed rate and higher spindle speed reduce forming force and improve profile fullness, but may cause flash at the tooth outer edge. Conversely, excessive feed rate and low spindle speed reduce profile fullness. Experimental verification shows that optimized process parameters increase tooth profile fullness by 4.6 % to 96.2 % and reduce forming force by 17.8 % compared to pre-optimization conditions, confirming the effectiveness of the parameter optimization.

Journal of Vibroengineering, (in Press).Yu Wang, Junhao Qu, Ruifeng Liu, Zibo Wang, Qinying Wang, Kunpeng Shi, Qijie Zhou, Shiwen XieWith the increasing depth and intensity of coal mining in China, non-natural seismic events occur more frequently, posing higher demands on mine safety and seismic monitoring. As a core parameter in earthquake monitoring and hazard assessment, precise determination of magnitude is essential for predicting and mitigating dynamic disasters. To address this, we conducted 22 controlled blasting experiments in the Weihai Port area of Shandong Province, using a combination of fixed and mobile seismic stations to systematically investigate the attenuation characteristics of near-field seismic waves and to establish a regional calibration function for local magnitude (ML). The calibration functions for both horizontal and vertical components were derived through least-squares fitting, from which the corresponding local magnitude determination formula was developed. Results from the 22 blasting events indicate good consistency of single-station magnitudes, with small deviations compared to the magnitudes determined by the Shandong Seismic Network, satisfying the required accuracy for magnitude estimation. Overall, this study establishes a calibration function applicable within 5 km of the Weihai blasting area, enhancing the consistency between magnitudes of blasting and natural earthquakes. The results provide a valuable reference for improving regional seismic monitoring systems and strengthening early warning capabilities for mine-related hazards.

Journal of Vibroengineering, (in Press).Guodong Shao, Chongyang Zhang, Yuanchao Jia, Mingxuan Zhu, Syed Hassan Farooq, Oryngozhin Yernaz, Zhengyu Ren, Siyao Zhang, Juncai LiuAs a localized high-intensity downdraft disaster, downbursts are a significant cause of wind-rain-induced damage to transmission lines. Their unique wind field characteristics make it difficult for existing design methods to comprehensively evaluate the resistance capacity of transmission lines. Current collapse analyses of transmission lines often fail to adequately consider the wind-rain field conditions during downbursts. Therefore, this study investigates the dynamic response and collapse mechanisms of transmission lines under downburst wind-rain conditions. First, a numerical simulation model is established to explore the distribution characteristics of wind and rain. A full-scale three-dimensional computational domain model is employed to simulate the wind-rain field, which is subsequently modified. The wind-rain velocity ratio is analyzed, and a fitting formula is proposed. Subsequently, combined distributed loads are applied to the transmission line to conduct parametric analyses of the dynamic response and investigate the collapse mechanisms. The results demonstrate that the computational domain model for simulating the wind-rain field is validated using relevant models, and the Vicroy model is modified for generating wind-rain loads. The horizontal velocity of raindrops does not synchronize with wind speed variations, and the proposed fitting formula for the wind-rain velocity ratio exhibits high accuracy. Downbursts significantly influence the dynamic response of the transmission tower-line system, with the most unfavorable wind attack angles, heights, rainfall intensities, and combined conditions identified. The collapse failure mode of the transmission line is characterized by initial damage and failure of diagonal members, leading to extensive structural collapse. The critical segments vary under different wind attack angles and reference heights, while rainfall has a minor impact on the collapse process. This study provides important technical insights for the wind-resistant design and safe operation of transmission lines.