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Wang Zou
Researcher at Shanghai Jiao Tong University
Publications - 6
Citations - 68
Wang Zou is an academic researcher from Shanghai Jiao Tong University. The author has contributed to research in topics: Pressure gradient & Reynolds number. The author has an hindex of 4, co-authored 6 publications receiving 38 citations.
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Mechanism and capability of ventilation openings for alleviating micro-pressure waves emitted from high-speed railway tunnels
TL;DR: In this paper, the authors investigated the effect of the vent ratio, vent location and train Mach number on the compression wave gradient in a high-speed train entering a tunnel, and proposed a vent ratio optimization method to balance these two peaks.
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Gas flows and losses inside high-speed ventilated supercavitating flows
TL;DR: In this article, a multi-fluid model has been established for high speed ventilated supercavitating flows, and the velocity distributions in the longitudinal and cross-sectional planes are analyzed to clearly reveal the gas loss mechanism for the flows around cavitator and body.
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Control of the ventilated supercavity on the maneuvering trajectory
TL;DR: In this article, the authors developed a control algorithm based on the control system model and the maneuvering supercavity model, which is developed to dominate the supercave dimensions on the trajectory of the vehicle.
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Three-Dimensional Ventilated Supercavity on a Maneuvering Trajectory
Wang Zou,Hua Liu,Leiping Xue +2 more
TL;DR: In this article, a maneuvering supercavity model is established in the three-dimensional space, and a numerical algorithm is developed to simulate the maneuvering motion of a supercavaity prescribed by the deflection angle of the cavitator and speed disturbance, and its motion characteristics are analyzed.
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Optimization of the maximum range of supercavitating vehicles based on a genetic algorithm
Wang Zou,Tingxu Liu,Yongkang Shi +2 more
TL;DR: In this paper, a range optimization model is established for a supercavitating vehicle on a straight and level trajectory, wherein the optimal variables include the cavitator number, speed of motion, diameter and deflection angle of the Cavitator, pitch angle and fin deflection angles.