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.

公开(公告)号：US11423191B2

公开(公告)日：2022-08-23

申请号：US16112562

申请日：2018-08-24

Applicant: AUTODESK, INC.

Inventor： James Stoddart ,  Danil Nagy ,  David Benjamin ,  Lorenzo Villaggi

IPC: G06F30/13

Abstract: A design engine is configured to interact with potential occupants of a structure in order to generate data that defines the usage preferences of those occupants. The design engine generates multiple candidate designs for the structure via a generative design process, and then evaluates each candidate design using a set of metrics determined relative to the usage preferences. Based on these evaluations, the design engine selects at least one candidate design that optimizes the set of metrics across all potential occupants.

公开(公告)号：US11256834B2

公开(公告)日：2022-02-22

申请号：US15979432

申请日：2018-05-14

Applicant: AUTODESK, INC.

Inventor： David Benjamin ,  Danil Nagy ,  Lorenzo Villaggi

IPC: G06F30/17 ,  G06F30/13 ,  G06F111/06

Abstract: A design space analyzer generates a parametric model associated with a design problem. The design space analyzer then discretizes various parameters associated with the model and generates a plurality of sample designs using different combinations of discretized parameters. The design space analyzer also computes one or more metrics for each sample design. In this fashion, the design space analyzer generates a coarse approximation of the design space associated with the design problem. The design space analyzer then evaluates portions of that approximation, at both global and local scales, to identify portions of the design space that meet certain feasibility criteria. Finally, the design space analyzer modifies the design space to facilitate more efficient exploration during optimization.

公开(公告)号：US12112100B2

公开(公告)日：2024-10-08

申请号：US17531622

申请日：2021-11-19

Applicant: AUTODESK, INC.

Inventor： David Benjamin ,  James Stoddart ,  Lorenzo Villaggi ,  Danil Nagy

IPC: G06F30/13 ,  G06N3/126 ,  G06Q10/0631 ,  G06Q40/12 ,  G06Q50/16 ,  G06F3/04815 ,  G06F3/04847 ,  G06F111/02 ,  G06F111/04 ,  G06F111/06 ,  G06F111/20 ,  G06T15/00 ,  G06T17/05

CPC classification number: G06F30/13 ,  G06N3/126 ,  G06Q10/06313 ,  G06Q40/12 ,  G06Q50/165 ,  G06F3/04815 ,  G06F3/04847 ,  G06F2111/02 ,  G06F2111/04 ,  G06F2111/06 ,  G06F2111/20 ,  G06T15/005 ,  G06T17/05

Abstract: An urban design pipeline automatically generates design options for an urban design project. The urban design pipeline includes a geometry engine and an evaluation engine. The geometry engine analyzes design criteria, design objectives, and design heuristics associated with the urban design project and then generates numerous candidate designs. The design criteria specify a property boundary associated with a region of land to be developed. The design objectives indicate a specific type of topology that is derived from an existing urban layout. The design heuristics include different sets of construction rules for generating designs with specific types of topologies. The geometry engine generates candidate designs that conform to the property boundary and have topological characteristics in common with the existing urban layout.

公开(公告)号：US12073351B2

公开(公告)日：2024-08-27

申请号：US17098291

申请日：2020-11-13

Applicant: AUTODESK, INC.

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

IPC: G06Q10/0639 ,  G06F16/901 ,  G06F30/13 ,  G06F30/18 ,  G06F30/20 ,  G06F30/28 ,  G06Q10/047 ,  G06Q10/0633 ,  G06Q10/0637 ,  G06Q10/067 ,  G06Q10/101 ,  G06Q50/08 ,  G06Q50/16 ,  G06Q50/163 ,  G06F111/02 ,  G06F111/04 ,  G06F111/10 ,  G06F119/02 ,  G06T17/20

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

Abstract: A computer-implemented method for generating a building design for a building site having a complex shape comprises: generating a first group of processing areas from a plurality of processing areas associated with the building design and a second group of processing areas from the plurality of processing areas; generating a first building footprint leg that is sized to include the first group of processing areas and a second building footprint leg that is sized to include the second group of processing areas; at a pivot location, joining the first building footprint leg and the second building footprint leg at an aperture angle; performing a numerical simulation to position the first group of processing areas in the first building footprint leg and the second group of processing areas in the second building footprint leg to generate a candidate building design for the building site; and rendering the candidate building design.

公开(公告)号：US12008293B2

公开(公告)日：2024-06-11

申请号：US17531622

申请日：2021-11-19

Applicant: AUTODESK, INC.

Inventor： David Benjamin ,  James Stoddart ,  Lorenzo Villaggi ,  Danil Nagy

IPC: G06F30/13 ,  G06N3/126 ,  G06Q10/0631 ,  G06Q40/12 ,  G06Q50/16 ,  G06F3/04815 ,  G06F3/04847 ,  G06F111/02 ,  G06F111/04 ,  G06F111/06 ,  G06F111/20 ,  G06T15/00 ,  G06T17/05

CPC classification number: G06F30/13 ,  G06N3/126 ,  G06Q10/06313 ,  G06Q40/12 ,  G06Q50/165 ,  G06F3/04815 ,  G06F3/04847 ,  G06F2111/02 ,  G06F2111/04 ,  G06F2111/06 ,  G06F2111/20 ,  G06T15/005 ,  G06T17/05

Abstract: An urban design pipeline automatically generates design options for an urban design project. The urban design pipeline includes a geometry engine and an evaluation engine. The geometry engine analyzes design criteria, design objectives, and design heuristics associated with the urban design project and then generates numerous candidate designs. The design criteria specify a property boundary associated with a region of land to be developed. The design objectives indicate a specific type of topology that is derived from an existing urban layout. The design heuristics include different sets of construction rules for generating designs with specific types of topologies. The geometry engine generates candidate designs that conform to the property boundary and have topological characteristics in common with the existing urban layout.

公开(公告)号：US11922099B2

公开(公告)日：2024-03-05

申请号：US17343566

申请日：2021-06-09

Applicant: AUTODESK, INC.

Inventor： David Benjamin ,  James Stoddart ,  Lorenzo Villaggi ,  Danil Nagy

IPC: G06F30/13 ,  G06N3/126 ,  G06Q10/0631 ,  G06Q40/12 ,  G06Q50/16 ,  G06F3/04815 ,  G06F3/04847 ,  G06F111/02 ,  G06F111/04 ,  G06F111/06 ,  G06F111/20

CPC classification number: G06F30/13 ,  G06N3/126 ,  G06Q10/06313 ,  G06Q40/12 ,  G06Q50/165 ,  G06F3/04815 ,  G06F3/04847 ,  G06F2111/02 ,  G06F2111/04 ,  G06F2111/06 ,  G06F2111/20

Abstract: An urban design pipeline automatically generates design options for an urban design project. The urban design pipeline includes a geometry engine and an evaluation engine. The geometry engine analyzes design criteria, design objectives, and design heuristics associated with the urban design project and then generates numerous candidate designs. The design criteria specify a property boundary associated with a region of land to be developed. The design objectives indicate a specific type of topology that is derived from an existing urban layout. The design heuristics include different sets of construction rules for generating designs with specific types of topologies. The geometry engine generates candidate designs that conform to the property boundary and have topological characteristics in common with the existing urban layout.

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.