公开(公告)号：US20240028800A1

公开(公告)日：2024-01-25

申请号：US18375786

申请日：2023-10-02

申请人： BEIHANG UNIVERSITY

发明人： Yang GAO ,  Aimin HAO ,  Xueguang XIE ,  Shuai LI ,  Jin LI

IPC分类号： G06F30/28 ,  G06F30/25

CPC分类号： G06F30/28 ,  G06F30/25 ,  G06F2111/04

摘要： The embodiments of the present disclosure disclose a viscous fluid simulation method based on yield criterion constraints. The method comprises: initializing a viscous fluid simulation scenario; determining a particle velocity after a time step based on an implicit fluid particle model; determining a particle temperature after the time step by simulating a heat conduction process; correcting the particle velocity based on the particle temperature, thus achieving temperature dependent viscous fluid flow phenomena simulation based on yield criterion constraints, and expanding the range of simulation types.

公开(公告)号：US20230419001A1

公开(公告)日：2023-12-28

申请号：US18243538

申请日：2023-09-07

申请人： BEIHANG UNIVERSITY

发明人： Yang GAO ,  Xueguang XIE ,  Fei HOU ,  Aimin HAO ,  Qinping ZHAO

IPC分类号： G06F30/27 ,  G06N3/0464 ,  G06N3/048

CPC分类号： G06F30/27 ,  G06N3/0464 ,  G06N3/048

摘要： A three-dimensional fluid reverse modeling method based on physical perception. The method comprises: encoding a fluid surface height field sequence by a surface velocity field convolutional neural network to obtain a surface velocity field at a time t; inputting the surface velocity field into a pre-trained three-dimensional convolutional neural network to obtain a three-dimensional flow field, wherein the three-dimensional flow field includes a velocity field and a pressure field; inputting the surface velocity field into a pre-trained regression network to obtain fluid parameters; and inputting the three-dimensional flow field and the fluid parameters into a physics-based fluid simulator to obtain a time series of the three-dimensional flow field. The requirements for real fluid reproduction and physics-based fluid reediting are met.