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Fangfang Xie
Researcher at Zhejiang University
Publications - 32
Citations - 413
Fangfang Xie is an academic researcher from Zhejiang University. The author has contributed to research in topics: Reynolds number & Flapping. The author has an hindex of 8, co-authored 24 publications receiving 155 citations. Previous affiliations of Fangfang Xie include Massachusetts Institute of Technology.
Papers
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Multi-fidelity deep neural network surrogate model for aerodynamic shape optimization
TL;DR: A high-accuracy multi-fidelity surrogate model correlating the configuration parameters of an aircraft and its aerodynamic performance by blending different fidelity information and adaptively learning their linear or nonlinear correlation without any prior assumption is constructed.
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Suppression of vortex-induced vibrations by fairings: A numerical study
Yue Yu,Yue Yu,Fangfang Xie,Hongmei Yan,Yiannis Constantinides,Owen H. Oakley,George Em Karniadakis +6 more
TL;DR: In this paper, the effect of rotational friction on the stabilization effect of the fairings was investigated through two-dimensional (2D) simulations and it was shown that when the Reynolds number is low (Re=100), Cf=0 is the most effective choice in suppressing VIV.
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U-shaped fairings suppress vortex-induced vibrations for cylinders in cross-flow
TL;DR: In this paper, the effect of the gap on the hydrodynamic force coefficients and the translational and rotational motions of the system was investigated, and the results showed that the effect overall is small, even when the friction coefficients of adjacent segments are different.
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From active learning to deep reinforcement learning: Intelligent active flow control in suppressing vortex-induced vibration
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Direct numerical simulations of two-phase flow in an inclined pipe
Fangfang Xie,Xiaoning Zheng,Michael S. Triantafyllou,Yiannis Constantinides,Yao Zheng,George Em Karniadakis +5 more
TL;DR: In this paper, a phase-field approach is used to model the interface of an inclined pipe subject to gravity forces, where the Cahn-Hillard model is used for modeling the interface.