公开(公告)号：US11640487B2

公开(公告)日：2023-05-02

申请号：US17496677

申请日：2021-10-07

Applicant: AUTODESK, INC.

Inventor： David Benjamin ,  Danil Nagy ,  Damon Lau ,  Dale Zhao

IPC: G06F17/00 ,  G06F30/17 ,  B64C1/08 ,  B64D11/00 ,  B64F5/00 ,  B33Y80/00

Abstract: A computer-implemented method for space frame design involves constructing a load stress map in a geometrical boundary representation of a design space, defining attachment points and load application points in the design space, creating a starting network of interconnecting lines between each two of the attachment points and load application points in the design space, assigning load application factors to each line of the starting network of interconnecting lines based on values of the load stress map, generating potential space frame designs by culling different subsets of lines of the starting network of interconnecting lines for each potential space frame design according to variable culling parameters, evaluating the potential space frame designs with respect to optimization parameters, combining the culling parameters for the potential space frame designs the performance score of which is above a predefined performance threshold, and iterating the steps of generating potential space frame designs and evaluating the potential space frame designs on the basis of the combined culling parameters.

公开(公告)号：US11610170B2

公开(公告)日：2023-03-21

申请号：US17098282

申请日：2020-11-13

Applicant: AUTODESK, INC.

Inventor： David Benjamin ,  Damon Lau ,  James Stoddart ,  Lorenzo Villaggi ,  Rui Wang ,  Lindsey Wikstrom

IPC: G06Q10/06 ,  G06Q10/04 ,  G06F30/13 ,  G06Q10/10 ,  G06F16/901 ,  G06Q50/16 ,  G06F30/20 ,  G06F30/28 ,  G06F30/18 ,  G06Q50/08 ,  G06T17/20 ,  G06F111/04 ,  G06F111/02 ,  G06F111/10 ,  G06F119/02 ,  G06Q10/0639 ,  G06Q10/0633 ,  G06Q10/047 ,  G06Q10/101 ,  G06Q10/0637 ,  G06Q10/067

Abstract: A computer-implemented method for computationally determining ventilation efficiency when generating a building design comprises: generating a first three-dimensional (3D) mesh based on a first 3D building model; performing a first fluid dynamic computer simulation based on the first 3D mesh and first environmental data associated with the first 3D building model to generate a first output data set; and computing, based on the first output data set, a first value for a ventilation performance metric that is associated with the first 3D building model.

公开(公告)号：US10606981B2

公开(公告)日：2020-03-31

申请号：US15713572

申请日：2017-09-22

Applicant: AUTODESK, INC.

Inventor： David Benjamin ,  Danil Nagy ,  Damon Lau ,  Dale Zhao

IPC: G06F17/50 ,  B64C1/08 ,  B64D11/00 ,  B64F5/00 ,  B33Y80/00

Abstract: A computer-implemented method for space frame design involves constructing a load stress map in a geometrical boundary representation of a design space, defining attachment points and load application points in the design space, creating a starting network of interconnecting lines between each two of the attachment points and load application points in the design space, assigning load application factors to each line of the starting network of interconnecting lines based on values of the load stress map, generating potential space frame designs by culling different subsets of lines of the starting network of interconnecting lines for each potential space frame design according to variable culling parameters, evaluating the potential space frame designs with respect to optimization parameters, combining the culling parameters for the potential space frame designs the performance score of which is above a predefined performance threshold, and iterating the steps of generating potential space frame designs and evaluating the potential space frame designs on the basis of the combined culling parameters.

公开(公告)号：US12190022B2

公开(公告)日：2025-01-07

申请号：US18047607

申请日：2022-10-18

Applicant: AUTODESK, INC.

Inventor： James Stoddart ,  David Benjamin ,  Danil Nagy ,  Damon Lau

IPC: G06F30/15 ,  B62D65/00 ,  G06F30/00 ,  G06F30/13

Abstract: In various embodiments, a generative design application generates and evaluates automotive designs. In operation, the generative design application computes a first set of metric values based on a set of metrics associated with design goal(s) and a first set of parameter values for a parameterized automobile model. The generative design application then performs optimization operation(s) on the first set of parameter values based on the first set of metric values to generate a second set of parameter values. Subsequently, the generative design application generates at least one design based on the second set of parameter values that is more convergent with respect to at least one of the design goals than a previously generated design. Advantageously, less time and effort are required to generate and evaluate multiple designs and then optimize those designs relative to more manual prior art approaches.

公开(公告)号：US11842262B2

公开(公告)日：2023-12-12

申请号：US18045809

申请日：2022-10-11

Applicant: AUTODESK, INC.

Inventor： Danil Nagy ,  Daniel Noviello ,  James Stoddart ,  David Benjamin ,  Damon Lau

IPC: G06N3/04 ,  G06N3/045 ,  G06F17/15 ,  G06N3/08 ,  G06F30/15

CPC classification number: G06N3/045 ,  G06F17/15 ,  G06F30/15 ,  G06N3/08

Abstract: A design application is configured to generate a latent space representation of a fleet of pre-existing vehicles. The design application encodes vehicle designs associated with the fleet of pre-existing vehicles into the latent space representation to generate a first latent space location. The first latent space location represents the characteristic style associated with the fleet of pre-existing vehicles. The design application encodes a sample design provided by a user into the latent space representation to produce a second latent space location. The design application then determines a distance between the first latent space location and the second latent space location. Based on the distance, the design application generates a style metric that indicates the aesthetic similarity between the sample design and the vehicle designs associated with the fleet of pre-existing vehicles. The design application can also generate new vehicle designs based on the latent space representation and the sample design.

公开(公告)号：US11775709B2

公开(公告)日：2023-10-03

申请号：US16387526

申请日：2019-04-17

Applicant: AUTODESK, INC.

Inventor： James Stoddart ,  David Benjamin ,  Danil Nagy ,  Damon Lau ,  Daniel Noviello

IPC: G06F30/23 ,  G06F30/15 ,  G06T19/00 ,  G06T17/00

CPC classification number: G06F30/23 ,  G06F30/15 ,  G06T19/00 ,  G06T2210/36

Abstract: In various embodiments, an automobile modeling application generates automobile designs. In operation, the automobile modeling application determines a first parameter value associated with a first instance of a first parameterized automobile component. The automobile modeling application then computes a second parameter value associated with a second instance of a second parameterized automobile component based on a structural relationship between the first instance and the second instance. Subsequently, the automobile modeling application generates a computer-aided design (CAD) geometry model for an automobile based on the first parameter value, the second parameter value, and one or more functional relationships defined between two or more instances included in a set of parameterized automobile component instances. Advantageously, because the automobile modeling application automatically propagates changes throughout the automobile design, the amount of time required to make significant changes to the automobile design can be substantially reduced.

公开(公告)号：US11727166B2

公开(公告)日：2023-08-15

申请号：US16405761

申请日：2019-05-07

Applicant: AUTODESK, INC.

Inventor： David Benjamin ,  James Stoddart ,  Danil Nagy ,  Damon Lau

IPC: G06F16/90 ,  G06F30/17 ,  G06F3/04815 ,  G06F16/901 ,  G06F30/20 ,  G06F3/04845 ,  G06F3/0482 ,  G06F3/04847 ,  G06F111/02 ,  G06F111/20

CPC classification number: G06F30/17 ,  G06F3/04815 ,  G06F16/9024 ,  G06F30/20 ,  G06F3/0482 ,  G06F3/04845 ,  G06F3/04847 ,  G06F2111/02 ,  G06F2111/20

Abstract: A design analysis engine analyzes a CAD assembly to generate a topological model. The topological model is a graph of nodes coupled together via a set of edges. Each node represents a different CAD model in the CAD assembly and each edge represents a different connection between two such CAD models. The design analysis engine also analyzes the CAD assembly to generate a data model corresponding to the topological model. The data model is a structured dataset that includes component entries and connection entries. A component entry includes design data associated with a CAD model in the CAD assembly and a connection entry includes design data associated with a physical or logical connection between two or more such CAD models. A user interacts with the topological model to navigate the CAD assembly, obtain CAD model data, and initiate automatically-performed design tasks.

公开(公告)号：US11681971B2

公开(公告)日：2023-06-20

申请号：US17098282

申请日：2020-11-13

Applicant: AUTODESK, INC.

Inventor： David Benjamin ,  Damon Lau ,  James Stoddart ,  Lorenzo Villaggi ,  Rui Wang ,  Lindsey Wikstrom

IPC: G06Q10/06 ,  G06Q10/04 ,  G06F30/13 ,  G06Q10/10 ,  G06F16/901 ,  G06Q50/16 ,  G06F30/20 ,  G06F30/28 ,  G06F30/18 ,  G06Q50/08 ,  G06T17/20 ,  G06F111/04 ,  G06F111/02 ,  G06F111/10 ,  G06F119/02 ,  G06Q10/0639 ,  G06Q10/0633 ,  G06Q10/047 ,  G06Q10/101 ,  G06Q10/0637 ,  G06Q10/067

CPC classification number: G06Q10/06393 ,  G06F16/9024 ,  G06F30/13 ,  G06F30/18 ,  G06F30/20 ,  G06F30/28 ,  G06Q10/047 ,  G06Q10/067 ,  G06Q10/0633 ,  G06Q10/06375 ,  G06Q10/06395 ,  G06Q10/101 ,  G06Q50/08 ,  G06Q50/163 ,  G06Q50/165 ,  G06F2111/02 ,  G06F2111/04 ,  G06F2111/10 ,  G06F2119/02 ,  G06T17/20

Abstract: A computer-implemented method for computationally determining ventilation efficiency when generating a building design comprises: generating a first three-dimensional (3D) mesh based on a first 3D building model; performing a first fluid dynamic computer simulation based on the first 3D mesh and first environmental data associated with the first 3D building model to generate a first output data set; and computing, based on the first output data set, a first value for a ventilation performance metric that is associated with the first 3D building model.

公开(公告)号：US11475178B2

公开(公告)日：2022-10-18

申请号：US16387527

申请日：2019-04-17

Applicant: AUTODESK, INC.

Inventor： James Stoddart ,  David Benjamin ,  Danil Nagy ,  Damon Lau

IPC: G06F30/15 ,  B62D65/00 ,  G06F30/13 ,  G06F30/00

Abstract: In various embodiments, a generative design application generates and evaluates automotive designs. In operation, the generative design application computes a first set of metric values based on a set of metrics associated with design goal(s) and a first set of parameter values for a parameterized automobile model. The generative design application then performs optimization operation(s) on the first set of parameter values based on the first set of metric values to generate a second set of parameter values. Subsequently, the generative design application generates at least one design based on the second set of parameter values that is more convergent with respect to at least one of the design goals than a previously generated design. Advantageously, less time and effort are required to generate and evaluate multiple designs and then optimize those designs relative to more manual prior art approaches.