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Your search keyword '"Yu, Chengyi"' showing total 19 results
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19 results on '"Yu, Chengyi"'

10. Strong Coupling of Magnetism and Lattice Induces Near-Zero Thermal Expansion over Broad Temperature Windows in ErFe 10 V 2−xMoxCompounds

Author

Li, Wenjie, primary, Lin, Kun, additional, Cao, Yili, additional, Yu, Chengyi, additional, Wang, Chin-Wei, additional, Liu, Xinzhi, additional, Kato, Kenichi, additional, Wang, Yilin, additional, Wang, Jiaou, additional, Li, Qiang, additional, Chen, Jun, additional, Deng, Jinxia, additional, Zhang, Hongjie, additional, and Xing, Xianran, additional

Published
2021
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18. Performance Assessment of a Concrete Gravity Dam at Shenwo Reservoir of China Using Deterministic and Probabilistic Methods

Author

Xianzhang Ling, Surong Huang, Peihui Lin, Yu Chengyi, Quan Gu, and Liang Tang

Subjects
Engineering, Probabilistic method, business.industry, Applied Mathematics, Mechanical Engineering, Aerospace Engineering, Gravity dam, Ocean Engineering, Building and Construction, business, Civil engineering, Civil and Structural Engineering
Abstract

This paper performs degradation assessment and safety evaluation of a concrete gravity dam at Shenwo reservoir in Liaoning province of China by using two methods, i.e. deterministic method and probabilistic method, respectively. The deterministic responses of representative sluice piers are computed through static pushover and dynamic analyses. The probabilistic uncertainty analysis, including time invariant and time variant reliability analyses, is based on finite element (FE) reliability theory. For time invariant case, the material and loading parameters are considered as random variables, including elastic modulus, Poisson's ratio, mass density and pushover forces. For time variant case, the earthquake history is simulated by using random process, and the first-order reliability method (FORM) approximation combined with Koo's analytical solution is used to compute the mean upcrossing rate for given performance functions, through which the failure probabilities are calculated. Based on the analysis results using these two methods, the safety and reliability of the dam is assessed. Furthermore, the performance assessments of the dam in its current state are compared with those in the original state (i.e. when the dam was built) to quantify its performance degradation. Finally, the assessment results of using the deterministic and probabilistic methods are compared, and the discrepancies between them are quantified and explained. The computation is based on a general FE analysis platform for earthquake engineering simulation, OpenSees.

Published
2014

19. Reflection-based vision guide method for coarse alignment of vector measurement during the satellite assembly, integration, and test process.

Author

Yang M, Pan H, Yang H, Yin L, Yu C, and Cao X

Abstract

Vector measurement is a vital measurement item during the satellite assembly, integration, and test (AIT) process. With the increasing popularity of commercial spaceflight, the development cycle of a satellite is shorter, and the number of satellites has been growing rapidly. The traditional on-site vector measurement method is inefficient and significantly affects the development cycle of the satellite. Therefore, it is of utter importance to propose an online high-precision automatic vector measurement system. The most challenging step of the online automatic vector measurement is coarse alignment because a cubic prism must be identified, and the normal direction of its surface must be calculated at a certain precision in the unstructured environment during the coarse alignment step. A reflection-based vision guide method was proposed to identify and calculate the normal direction of the cubic prism. The working principle and advantage of the proposed vision guide system were described in detail. What is more, the calibration and calculation methods of the proposed vision guide system were also presented. Finally, experiments were conducted to verify the effectiveness of the proposed method.

Published
2023
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