Three dimensional interface normal prediction for volume-of-fluid method using artificial neural network
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Publication:6572762
DOI10.1016/j.euromechflu.2024.03.004MaRDI QIDQ6572762
LiangTong Zhan, Wen-Jie Xu, Jinlong Li, Kang Li, Jia Liu, Yun-Min Chen, Shuai Zhang, Duanyang Zhuang
Publication date: 16 July 2024
Published in: European Journal of Mechanics. B. Fluids (Search for Journal in Brave)
multiphase flowmachine learninginterface reconstructionspherical surfacesinusoidal surfacelocal normal vector
Artificial neural networks and deep learning (68T07) Learning and adaptive systems in artificial intelligence (68T05) Multiphase and multicomponent flows (76T99) Basic methods in fluid mechanics (76M99)
Cites Work
- Unnamed Item
- A 3D adaptive mesh refinement algorithm for multimaterial gas dynamics
- Volume of fluid (VOF) method for the dynamics of free boundaries
- Second-order accurate volume-of-fluid algorithms for tracking material interfaces
- Multiresolution classification of turbulence features in image data through machine learning
- THINC scaling method that bridges VOF and level set schemes
- A machine learning strategy for computing interface curvature in front-tracking methods
- NPLIC: a machine learning approach to piecewise linear interface construction
- Computing interface curvature from volume fractions: a machine learning approach
- The use of the Reynolds force vector in a physics informed machine learning approach for predictive turbulence modeling
- Interface reconstruction with least-squares fit and split advection in three-dimensional Cartesian geometry
- Multi-material interface reconstruction on generalized polyhedral meshes
- A balanced-force algorithm for continuous and sharp interfacial surface tension models within a volume tracking framework
- Data-driven surrogate modeling of multiphase flows using machine learning techniques
- Compressive sensing based machine learning strategy for characterizing the flow around a cylinder with limited pressure measurements
- 3D two phase flows numerical simulations by SL-VOF method
- Machine Learning for Fluid Mechanics
- Three-Dimensional Front Tracking
- Numerical Models of Surface Tension
- Interface reconstruction with least-square fit and split Eulerian-Lagrangian advection
- PArallel, Robust, Interface Simulator (PARIS)
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