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Your search keyword '"Zhou, Zhongrong"' showing total 353 results
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353 results on '"Zhou, Zhongrong"'

9. An Improved CSM Algorithm Fusing Multi-frame Point Cloud Information with Grid Multi-resolution and Angle Multi-resolution

Author

Guo, Zhimin, Ye, Yuejun, Zhou, Zhongrong, Jiang, Wei, Wu, Qiuxuan, Jiang, Liang, Zhang, Zhuo, Zeng, Pingliang, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Zeng, Pingliang, editor, Zhang, Xiao-Ping, editor, Terzija, Vladimir, editor, Ding, Yi, editor, and Luo, Yunxia, editor

Published
2023
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13. Microscopic mechanical properties and fabric anisotropic evolution law of open graded gravel permeable base under dynamic loading

Author

Chen, De, Li, Yukun, Cao, Xuemei, Wu, Taiheng, Zhang, Haoran, Qiao, Zhi, Fan, Zhenhua, Nan, Yuxing, Niu, Changchang, Wang, Xinkuan, Zhao, Jianxiong, Dang, Yan, Fang, Weizhen, Zhao, Rui, Peng, Yingping, Fan, Xiaoqiang, Li, Yuchen, Tao, Jiaxing, Zhang, Shilong, Gan, Guoan, Wang, Yingdan, Fan, Jinli, Wang, Si, Su, Qian, Zhou, Zhongrong, and Wang, Tingting

Published
2023
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42. A novel vehicle-track coupled dynamics model with disc brake systems: modelling and validation.

Author

Wang, Zhiwei, Mo, Jiliang, Wang, Kaiyun, and Zhou, Zhongrong

Subjects
BRAKE systems, DISC brakes, ROLLING friction, SLIDING friction, POINCARE maps (Mathematics), HIGH speed trains
Abstract

This study established a novel vehicle–track coupled dynamics model (VTCDM) considering the disc brake system of a high-speed train (HST). The structure parameters of each friction block are applied to compute the non-linear friction forces and torques. This more elaborate model enables detailed investigations on the coupled mechanical system excited by the brake sliding friction, wheel-rail rolling friction and track irregularity. Further, it is validated by comparing with the experimental results from the aspects of time domain, frequency domain, Poincaré map and phase plane. Results indicate that the brake system substantially influences the vehicle–track system (VTS) and causes strong non-linear characteristics. Furthermore, this model can be used for tribological and dynamics-related assessment, like braking squeal and friction-induced vibration. [ABSTRACT FROM AUTHOR]

Published
2024
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48. Evaluating characteristics of particles' surface micro-texture of granular materials based on the spectral analysis method.

Author

Chen, De, Li, Yukun, Cao, Xuemei, Wu, Taiheng, Zhang, Haoran, Qiao, Zhi, Niu, Changchang, Wang, Yingdan, Wang, Si, Ling, Cheng, Su, Qian, and Zhou, Zhongrong

Subjects
HILBERT-Huang transform, SLIDING friction, MATERIALS testing, SURFACE properties, MISSING data (Statistics), PARTICLE analysis
Abstract

Accurately evaluating particle surface micro-texture levels and distribution at different wavelength scales of granular material is critical to optimise service stability of granular material under long-term dynamic loads. Firstly, generalised regression neural network (GRNN) and empirical mode decomposition (EMD) were adopted to impute missing data points and remove the arc-shaped tendency of granular materials' particle wear raw surface profile. Then, granular materials' particle surface micro-texture levels and their distribution within constant bandwidth narrow band spectrum and octave/fractional octave band spectrum were obtained with spectral analysis method, which could characterise granular materials' particle surface properties at different wavelength scales. Fourteen types of parent rocks of granular materials were tested with a modified micro tribological experiment simulating tribological behaviour among particle contact interfaces under dynamic loads. A contrastive analysis with traditionally used surface mean roughness was performed. The results indicate that the micro-texture levels and their distribution obtained in this study can detect the level of the exact texture scales (i.e. 32 and 2 μm wavelengths) significantly influencing the kinetic friction coefficient of granular materials, while surface mean roughness can only represent the global surface property. A high correlation was found between normalised micro-texture level (i.e. 32 μm) and Moh's hardness and coefficient of friction. [ABSTRACT FROM AUTHOR]

Published
2023
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