Results 11 to 20 of about 20,769,954 (368)
A Numerical Investigation of Supersonic Combustion Flow Control by Nanosecond-Pulsed Actuations
Energies, 2023 The efficiency of supersonic combustion is largely dependent on inlet and injection parameters. Additional energy input is required in some off-design conditions, and nanosecond discharge actuation can be a solution.
Yilun Yan +3 more
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Reinforcement learning for bluff body active flow control in experiments and simulations
Proceedings of the National Academy of Sciences of the United States of America, 2020 Significance Reinforcement learning (RL) has been applied effectively in games and robotic manipulation. We demonstrate the effectiveness of RL in experimental fluid mechanics by applying it to reduce the drag of circular cylinders in turbulent flow, a ...
Dixia Fan +4 more
semanticscholar +1 more source
Aerodynamic Characteristics of Radar Antenna in Stationary and Azimuthal Rotational Motion
International Journal of Antennas and Propagation, 2021 To study the effects of aerodynamic loads on the aerodynamic characteristics of stationary and azimuthally rotating antennas, wind tunnel force tests are conducted using solid and porous plate antennas.
Yanqi Zhang, Zhaoming Zhang
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Entropy, 2022 One major problem in the development of hypersonic vehicles is severe aerodynamic heating; thus, the implementation of a thermal protection system is required.
Di Zhou +4 more
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Flow Rate Control by Means of Flow Meter and PLC Controller [PDF]
Sensors, 2021 This paper presents a design of a flow meter based on a programmable logic controller (PLC). The new construction of a flow meter controlled by PLC increases the possibilities for the control and automation of fluid flow. Additionally, the didactic potential of the use of simple automation in the form of a programmable logic controller was considered ...
Sylwia Włodarczak +6 more
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Artificial neural networks trained through deep reinforcement learning discover control strategies for active flow control [PDF]
Journal of Fluid Mechanics, 2018 We present the first application of an artificial neural network trained through a deep reinforcement learning agent to perform active flow control. It is shown that, in a two-dimensional simulation of the Kármán vortex street at moderate Reynolds number
J. Rabault +4 more
semanticscholar +1 more source
International Journal of Antennas and Propagation, 2022 Radar antennas in the open air are affected by dynamic wind loading during azimuthal scanning. In this state, the acquisition and prediction of the aerodynamic load is the focus of the structure design for the antenna.
Yanqi Zhang, Zhaoming Zhang
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Causality & Control Flow [PDF]
Electronic Proceedings in Theoretical Computer Science, 2019 Causality has been the issue of philosophic debate since Hippocrates. It is used in formal verification and testing, e.g., to explain counterexamples or construct fault trees. Recent work defines actual causation in terms of Pearl's causality framework, but most definitions brought forward so far struggle with examples where one event preempts another ...
Künnemann, R., Garg, D., Backes, M.
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气体物理, 2023 Based on the gas kinetic scheme (GKS), numerical simulation research on the thermal protection system with the spike was carried out from the independent flow field and the fluid-structure interaction. The reliability of the algorithm in independent flow
Chang-ya LIU +3 more
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A High-Order Discontinuous Galerkin Method for Solving Preconditioned Euler Equations
Applied Sciences, 2022 A high-order discontinuous Galerkin (DG) method is presented for solving the preconditioned Euler equations with an explicit or implicit time marching scheme.
Huanqin Gao +4 more
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