http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
Experimental investigation on a freestanding bridge tower under wind and wave loads
Xiaodong Bai,Anxin Guo,Hao Liu,Wenli Chen,Gao Liu,Tianchen Liu,Shangyou Chen,Hui Li 국제구조공학회 2016 Structural Engineering and Mechanics, An Int'l Jou Vol.57 No.5
Long-span cross-strait bridges extending into deep-sea waters are exposed to complex marine environments. During the construction stage, the flexible freestanding bridge towers are more vulnerable to environmental loads imposed by wind and wave loads. This paper presents an experimental investigation on the dynamic responses of a 389-m-high freestanding bridge tower model in a test facility with a wind tunnel and a wave flume. An elastic bridge model with a geometric scale of 1:150 was designed based on Froude similarity and was tested under wind-only, wave-only and wind-wave combined conditions. The dynamic responses obtained from the tests indicate that large deformation under resonant sea states could be a structural challenge. The dominant role of the wind loads and the wave loads change according to the sea states. The joint wind and wave loads have complex effects on the dynamic responses of the structure, depending on the approaching direction angle and the fluid-induced vibration mechanisms of the waves and wind
Power Quality Warning of High-Speed Rail Based on Multi-Features Similarity
Bai, Jingjing,Gu, Wei,Yuan, Xiaodong,Li, Qun,Chen, Bing,Wang, Xuchong The Korean Institute of Electrical Engineers 2015 Journal of Electrical Engineering & Technology Vol.10 No.1
As one type of power quality (PQ) disturbance sources, high-speed rail (HSR) can have major impacts on the power supply grid. Providing timely and accurate warning information for PQ problems of HSR is important for the safe and stable operation of traction power supply systems and the power supply grid. This study proposes a novel warning approach to identify PQ problems and provide warning prompts based on the monitored data of HSR. To embody the displacement and status change of monitored data, multi-features of different sliding windows are computed. To reflect the relative importance degree of these features in the overall evaluation, an analytic hierarchy process (AHP) is used to analyse the weights of multi-features. Finally, a multi-features similarity algorithm is applied to analyse the difference between monitored data and the reference data of HSR, and PQ warning results based on dynamic thresholds can be analysed to quantify its severity. Cases studies demonstrate that the proposed approach is effective and feasible, and it has now been applied to an actual PQ monitoring platform.
Power Quality Warning of High-Speed Rail Based on Multi-Features Similarity
Jingjing Bai,Wei Gu,Xiaodong Yuan,Qun Li,Bing Chen,Xuchong Wang 대한전기학회 2015 Journal of Electrical Engineering & Technology Vol.10 No.1
As one type of power quality (PQ) disturbance sources, high-speed rail (HSR) can have major impacts on the power supply grid. Providing timely and accurate warning information for PQ problems of HSR is important for the safe and stable operation of traction power supply systems and the power supply grid. This study proposes a novel warning approach to identify PQ problems and provide warning prompts based on the monitored data of HSR. To embody the displacement and status change of monitored data, multi-features of different sliding windows are computed. To reflect the relative importance degree of these features in the overall evaluation, an analytic hierarchy process (AHP) is used to analyse the weights of multi-features. Finally, a multi-features similarity algorithm is applied to analyse the difference between monitored data and the reference data of HSR, and PQ warning results based on dynamic thresholds can be analysed to quantify its severity. Cases studies demonstrate that the proposed approach is effective and feasible, and it has now been applied to an actual PQ monitoring platform.
Preparation of decorative slag glass-ceramics and research on the solidification of heavy metals
Yang Tang,Xiaodong Hao,Zhenxiang Fang,Xinyu Bai,Guangyu Wang,Hongxia Zhang,Leibo Deng,Hua Chen,Ming Zhao,Yongsheng Du 한양대학교 청정에너지연구소 2023 Journal of Ceramic Processing Research Vol.24 No.1
Glass-ceramics with different CuO additions were prepared with Fe2O3 and Cr2O3 as composite nucleating agents, rare earthcontainingblast furnace slag (REBFS) as the main raw material. The existence state and stability of heavy metals Cu, Mn andCr in glass-ceramics were investigated. The results showed that Cr ions contributed to the generation of spinel phase, whileCu ions and Mn ions can enter the spinel crystal and exist stably, which indicated that there was a synergistic solidificationof Cu, Mn and Cr. The depolymerization effect of the copper ions contributed to the transformation of the crystal morphologyfrom dendrites to spherulites. Moreover, the increase in CuO contents promoted glass-ceramics from green to copper red. Based on the leaching experimental data analysis of heavy metals in glass-ceramics, the leaching concentration of heavy metalsCu, Cr and Mn were much lower than the standard leaching toxicity limit of hazardous waste (GB5085.3–2007, China). Theresults showed that the conversion of REBFS into environmentally friendly glass-ceramics can realize solid waste resourceutilization.
Power Quality Early Warning Based on Anomaly Detection
Gu, Wei,Bai, Jingjing,Yuan, Xiaodong,Zhang, Shuai,Wang, Yuankai The Korean Institute of Electrical Engineers 2014 Journal of Electrical Engineering & Technology Vol.9 No.4
Different power quality (PQ) disturbance sources can have major impacts on the power supply grid. This study proposes, for the first time, an early warning approach to identifying PQ problems and providing early warning prompts based on the monitored data of PQ disturbance sources. To establish a steady-state power quality early warning index system, the characteristics of PQ disturbance sources are analyzed and summed up. The higher order statistics anomaly detection (HOSAD) algorithm, based on skewness and kurtosis, and hierarchical power quality early warning flow, were then used to mine limit-exceeding and abnormal data and analyze their severity. Cases studies show that the proposed approach is effective and feasible, and that it is possible to provide timely power quality early warnings for limit-exceeding and abnormal data.
Pattern Recognition of Monitored Waveforms from Power Supplies Feeding High-Speed Rail Systems
Wei Gu,Shuai Zhang,Xiaodong Yuan,Bing Chen,Jingjing Bai 대한전기학회 2016 Journal of Electrical Engineering & Technology Vol.11 No.1
The development of high-speed rail (HSR) has had a major impact on the power supply grid. Based on the monitored waveforms of HSR, a pattern recognition approach is proposed for the first time in this paper to identify the operating conditions. To reduce the data dimensions for monitored waveforms, the principal component analysis (PCA) algorithm was used to extract the characteristics and their waveforms from the monitored waveforms data. The dynamic time wrapping (DTW) algorithm was then used to identify the operating conditions of the HSR. Cases studies show that the proposed approach is effective and feasible, and that it is possible to identify the real-time operating conditions based on the monitored waveforms.
Power Quality Early Warning Based on Anomaly Detection
Wei Gu,Jingjing Bai,Xiaodong Yuan,Shuai Zhang,Yuankai Wang 대한전기학회 2014 Journal of Electrical Engineering & Technology Vol.9 No.4
Different power quality (PQ) disturbance sources can have major impacts on the power supply grid. This study proposes, for the first time, an early warning approach to identifying PQ problems and providing early warning prompts based on the monitored data of PQ disturbance sources. To establish a steady-state power quality early warning index system, the characteristics of PQ disturbance sources are analyzed and summed up. The higher order statistics anomaly detection (HOSAD) algorithm, based on skewness and kurtosis, and hierarchical power quality early warning flow, were then used to mine limit-exceeding and abnormal data and analyze their severity. Cases studies show that the proposed approach is effective and feasible, and that it is possible to provide timely power quality early warnings for limit-exceeding and abnormal data.
Chunxing Hu,Yujiao Bai,Zhonghai Xu,Ruoyu Li,Rongguo Wang,Xiaodong He 대한기계학회 2022 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.36 No.9
Composite laminates often produce delamination due to a series of factors during the manufacture and service process. In order to research the effect of containing oblique elliptical and circular initial delamination damage on the compressive strength of composite laminates, numerical and experimental methods are used in this paper. Finite element models (FEMs) and the progressive damage subroutine USDFLD are developed to predict the damage initiation and extension behavior of the intralaminar of the laminate. Interlaminar damage is predicted based on cohesive zone models (CZM). At the same time, four compression tests containing different initial delamination damage are performed. The results show that experimental measurements of compression tests concur with the numerical predictions and validate the FEMs. The strength and stiffness of the specimens gradually decrease with the increase of the initial delamination area. It reveals that, for the compression process, the delamination damage extends from the edge of the initial damage to the surroundings. The bearing capacity of the composite laminates is mainly determined by the material properties of the fibers and matrix, rather than the initial delamination.