Zobrazeno 1 - 10
of 867
pro vyhledávání: '"R, Noack"'
Autor:
Tamir Shaqarin, Zhutao Jiang, Tianyu Wang, Chang Hou, Guy Y. Cornejo Maceda, Nan Deng, Nan Gao, Bernd R. Noack
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract Jet mixing is a critical factor in various engineering applications, influencing pollutant dispersion, chemical processes, medical treatments, and combustion enhancement. Hitherto, jet mixing has typically been optimized by either passive or
Externí odkaz:
https://doaj.org/article/4857218df4d64905a33aae6665251c99
Autor:
Deng, Nan, Pastur, Luc R., R., Bernd R. Noack Bernd, Cornejo-Maceda, Guy, Lusseyran, François, Jean-Christophe, Jean-Christophe Loiseau, Morzyński, Marek
Publikováno v:
22e Rencontre du Non-Lineaire, Mar 2019, Paris, France
In this work, we are interested in the transient dynamics of a fluid configuration consisting of three fixed cylinders whose axes distribute over an equilateral triangle in transverse flow << fluidic pinball >>. As the Reynolds number is increased on
Externí odkaz:
http://arxiv.org/abs/2104.05105
Autor:
Tamir Shaqarin, Bernd R. Noack
Publikováno v:
Applied Sciences, Vol 14, Iss 8, p 3140 (2024)
Limiting the suspension stroke in vehicles holds critical and conceivable benefits. It is crucial for the safety, stability, ride comfort, and overall performance of the vehicle. Furthermore, it improves the reliability of suspension components and m
Externí odkaz:
https://doaj.org/article/941f2c9a1afa4a6fb4ec10ae74859214
Autor:
Yannian Yang, Yu Liang, Stefan Pröbsting, Pengyu Li, Haoyu Zhang, Benxu Huang, Chaofan Liu, Hailong Pei, Bernd R. Noack
Publikováno v:
Aerospace, Vol 11, Iss 3, p 200 (2024)
In the near future, urban air mobility (UAM) will let an old dream of human society come true: affordable and fast air transportation for almost everyone. Among the various existing designs, the multicopter configuration best combines the advantages
Externí odkaz:
https://doaj.org/article/923b6d2bb6da4baaa9fe7bc689658c6b
A Fast-Converging Particle Swarm Optimization through Targeted, Position-Mutated, Elitism (PSO-TPME)
Autor:
Tamir Shaqarin, Bernd R. Noack
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 16, Iss 1, Pp 1-17 (2023)
Abstract We improve convergence speed by two orders of magnitude and the global exploration capabilities of particle swarm optimization (PSO) through targeted position-mutated elitism (TPME). The proposed fast-converging TPME operator requires a fitn
Externí odkaz:
https://doaj.org/article/e3ab1334cc614801addcfe2c1ddf8f05
Publikováno v:
Wind Energy Science, Vol 5, Pp 819-838 (2020)
Once stall has set in, lift collapses, drag increases and then both of these forces will fluctuate strongly. The result is higher fatigue loads and lower energy yield. In dynamic stall, separation first develops from the trailing edge up the leading
Externí odkaz:
https://doaj.org/article/6545632183634041921e04ba1aea287a
Autor:
Wei Zhang, Jun Dong, Huimin Lv, Weitao Bai, Hongzhou Lu, Bernd R. Noack, Yonggang Zhu, Yue Yang
Publikováno v:
Micromachines, Vol 13, Iss 3, p 485 (2022)
Understanding the mechanism of particle transport and sedimentation in pulmonary alveolus is important for deciphering the causes of respiratory diseases and helping the development of drug delivery. In this study, taking advantage of the microfluidi
Externí odkaz:
https://doaj.org/article/b5775058afd24d25be8d422c795c0d1b
Autor:
Junchang Huang, Weifeng Zeng, Hao Xiong, Bernd R. Noack, Gang Hu, Shugao Liu, Yuchen Xu, Huanhui Cao
Publikováno v:
IEEE Transactions on Artificial Intelligence. :1-14
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2f6e4235c336dd535d8e60d184ee6166
https://doi.org/10.1109/tai.2023.3249683
https://doi.org/10.1109/tai.2023.3249683
Autor:
Bernd R. Noack
Publikováno v:
Physics of Fluids. 35
We mitigate vortex-induced vibrations of a square cylinder at a Reynolds number of 100 using deep reinforcement learning (DRL)-based active flow control (AFC). The proposed method exploits the powerful nonlinear and high-dimensional problem-solving c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::05647655a3ac5b27bbb2541d87176333
https://doi.org/10.1063/5.0152777
https://doi.org/10.1063/5.0152777
Publikováno v:
Experiments in Fluids. 64
We present the first machine-learned multiple-input multiple-output aerodynamic feedback control under varying operating conditions. Closed-loop control is relevant to many fluid dynamic applications ranging from gust mitigation to drag reduction. Ex
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::84182249e6f7dab795f3dd83671ce86d
https://doi.org/10.1007/s00348-023-03587-x
https://doi.org/10.1007/s00348-023-03587-x