公开(公告)号：US20210103638A1

公开(公告)日：2021-04-08

申请号：US16593890

申请日：2019-10-04

Applicant: Autodesk, Inc.

Inventor： Markus Bussmann ,  Mohammadmehdi Ataei

IPC: G06F17/50 ,  G06N20/00 ,  G06N3/08 ,  G06T17/20

Abstract: Methods, systems, and apparatus, including medium-encoded computer program products, for a machine learning approach for piecewise linear interface construction include: obtaining a cell fraction for a mesh cell in a mesh, a normal vector perpendicular to a linear interface for the mesh cell, and geometry information of the mesh cell, wherein the geometry information includes at least two data values; normalizing the geometry information of the mesh cell to reduce the at least two data values to at least one data value; obtaining an output value from a machine learning algorithm, previously trained using normalized geometry information of multiple different cells of a same mesh type as the mesh cell; determining the linear interface for the mesh cell based on the output value, the normal vector and the geometry information; using the linear interface for the mesh cell in numerical simulation processing of the mesh.

公开(公告)号：US20220138379A1

公开(公告)日：2022-05-05

申请号：US17574036

申请日：2022-01-12

Applicant: Autodesk, Inc.

Inventor： Markus Bussmann ,  Mohammadmehdi Ataei

IPC: G06F30/20 ,  G06T17/20 ,  G06N20/00 ,  G06N3/08 ,  G06F111/10

Abstract: Methods, systems, and apparatus, including medium-encoded computer program products, for a machine learning approach for piecewise linear interface construction include: obtaining a cell fraction for a mesh cell in a mesh, a normal vector perpendicular to a linear interface for the mesh cell, and geometry information of the mesh cell, wherein the geometry information includes at least two data values; normalizing the geometry information of the mesh cell to reduce the at least two data values to at least one data value; obtaining an output value from a machine learning algorithm, previously trained using normalized geometry information of multiple different cells of a same mesh type as the mesh cell; determining the linear interface for the mesh cell based on the output value, the normal vector and the geometry information; using the linear interface for the mesh cell in numerical simulation processing of the mesh.

公开(公告)号：US11250186B2

公开(公告)日：2022-02-15

申请号：US16593890

申请日：2019-10-04

Applicant: Autodesk, Inc.

Inventor： Markus Bussmann ,  Mohammadmehdi Ataei

IPC: G06F30/20 ,  G06N20/00 ,  G06T17/20 ,  G06N3/08 ,  G06F111/10

Abstract: Methods, systems, and apparatus, including medium-encoded computer program products, for a machine learning approach for piecewise linear interface construction include: obtaining a cell fraction for a mesh cell in a mesh, a normal vector perpendicular to a linear interface for the mesh cell, and geometry information of the mesh cell, wherein the geometry information includes at least two data values; normalizing the geometry information of the mesh cell to reduce the at least two data values to at least one data value; obtaining an output value from a machine learning algorithm, previously trained using normalized geometry information of multiple different cells of a same mesh type as the mesh cell; determining the linear interface for the mesh cell based on the output value, the normal vector and the geometry information; using the linear interface for the mesh cell in numerical simulation processing of the mesh.