Zobrazeno 1 - 10
of 236
pro vyhledávání: '"E Fernandez-Rodriguez"'
Autor:
Chunxia Yang, Shanshan Hou, Junhui Xu, Yuquan Zhang, Yuan Zheng, E Fernandez-Rodriguez, Daqing Zhou
Publikováno v:
Water, Vol 12, Iss 3, p 757 (2020)
When sand particles are entrained into carrier flow, such as liquid, a strong interaction occurs with the surface of the metallic material, resulting in serious erosion damage. However, the effect of the physical properties of particles and materials
Externí odkaz:
https://doaj.org/article/21b1a61ff54b47479e424ea796a809dd
Autor:
Renwei Ji, Ming Kong, Ke Sun, Jianhua Zhang, Renqing Zhu, Minwei Yin, Yuquan Zhang, E. Fernandez-Rodriguez
Publikováno v:
Frontiers in Energy Research, Vol 12 (2024)
This paper establishes a high-fidelity and efficient Computational Fluid Dynamics (CFD) numerical method (AL-LDS-Ωnew) for wind turbine wake by combining the actuator line (AL), the localized dynamic Smagorinsky (LDS) sub-grid scale (SGS), and the n
Externí odkaz:
https://doaj.org/article/d6fb42e0ef0a4954a83b93431021eb8d
Autor:
Yuquan Zhang, Jie Sun, Yuan Zheng, Xinfeng Ge, Xuyi Peng, Yunlai Hong, E. Fernandez-Rodriguez
Publikováno v:
Renewable Energy. 201:904-915
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::499ddaa88d8243ccf620c94c44e4f837
https://doi.org/10.1016/j.renene.2022.11.013
https://doi.org/10.1016/j.renene.2022.11.013
Autor:
Yuquan Zhang, Yanhe Xu, Yuan Zheng, E. Fernandez-Rodriguez, Aoran Sun, Chunxia Yang, Jue Wang
Publikováno v:
Complexity, Vol 2020 (2020)
Externí odkaz:
https://doaj.org/article/66866597d5044b0488218734ebcf32bb
Publikováno v:
Complexity, Vol 2020 (2020)
Dam behavior is difficult to predict due to its complexity. At the same time, dam deformation behavior is vital to dam systems. Developing a precise prediction model of dam deformation from prototype data is still challenging but determinant in the s
Externí odkaz:
https://doaj.org/article/4837f300de2f4ea0b0445e14d127b22b
Autor:
Yuquan Zhang, Yanhe Xu, Yuan Zheng, E. Fernandez-Rodriguez, Aoran Sun, Chunxia Yang, Jue Wang
Publikováno v:
Complexity, Vol 2019 (2019)
A multiobjective optimization technique based on the computational fluid dynamics (CFD) simulations and the orthogonal test is proposed to reduce the pressure pulsation in this paper. Three levels of four well-known performance factors L9 (34) were c
Externí odkaz:
https://doaj.org/article/31302161793849818dfbe1e5dca8cacf
Autor:
E. Fernandez-Rodriguez
Publikováno v:
Physics of Fluids. 35
Anticipating the power output of tidal-stream turbines (TSTs) is relevant for its technological advance and success. Therefore, it is important to clarify the behavior of TSTs under tidal-stream environments, which include both waves and currents. In
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a89caaecf295bece1097782adba314a8
https://doi.org/10.1063/5.0142872
https://doi.org/10.1063/5.0142872
Akademický článek
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Autor:
E. Fernandez-Rodriguez, Yuan Zheng, Yuquan Zhang, Zang Wei, Jisheng Zhang, Jinhai Zheng, Xiangfeng Lin, Hanbin Gu
Publikováno v:
IEEE Access, Vol 8, Pp 79325-79337 (2020)
Recently, the output of Computational Fluid Dynamic (CFD) prediction on tidal stream turbine systems has been receiving great attention owing to the vast and untapped tidal stream potential. For several years, many publications have documented the ac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::969ee897fc48e222ad4e1bcfcd40ed12
https://doi.org/10.1109/access.2020.2989344
https://doi.org/10.1109/access.2020.2989344
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6a6d4610daccd7a68d27c70372f77f19
https://doi.org/10.2139/ssrn.4049737
https://doi.org/10.2139/ssrn.4049737