公开(公告)号：US20210150109A1

公开(公告)日：2021-05-20

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: G06F30/28 ,  G06F30/13

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：US20210150105A1

公开(公告)日：2021-05-20

申请号：US17098228

申请日：2020-11-13

Applicant: AUTODESK, INC.

Inventor： David BENJAMIN ,  Damon LAU ,  James STODDART ,  Lorenzo VILLAGGI ,  Rui WANG ,  Lindsey WIKSTROM

IPC: G06F30/20 ,  G06F30/13

Abstract: Various embodiments set forth systems and techniques for generating work condition values for a building layout. The techniques include receiving a building layout specifying, for each workspace of a plurality of workspaces included in the workplace, a respective location of the workspace; selecting one or more work condition elements from a plurality of work condition elements based at least on the plurality of workspaces; for each work condition element of the one or more work condition elements: evaluating the plurality of workspaces based on the work condition element; based on the evaluating the plurality of workspaces, generating an element value corresponding to the work condition element; and computing, based on element values corresponding to the one or more work condition elements, an overall work condition value associated with the building layout.

公开(公告)号：US20210150083A1

公开(公告)日：2021-05-20

申请号：US17099649

申请日：2020-11-16

Applicant: AUTODESK, INC.

Inventor： David BENJAMIN ,  Dale ZHAO ,  Lorenzo VILLAGGI

IPC: G06F30/12 ,  G06F30/13 ,  G06F30/20

Abstract: A design engine is configured to automatically generate designs for multi-family housing projects that simultaneously meet local construction regulations while also meeting specific financial targets. A design generator within the design engine generates a first generation of design options that reflect historical design trends. A design evaluator within the design engine then generates design metrics that quantify various attributes of the different design options. The design generator identifies a subset of the design options that optimally balance some or all of the various design metrics, and then generates a subsequent generation of design options that includes design features derived from the subset of design options.

公开(公告)号：US20190147116A1

公开(公告)日：2019-05-16

申请号：US16181224

申请日：2018-11-05

Applicant: AUTODESK, INC.

Inventor： David BENJAMIN ,  James STODDART ,  Lorenzo VILLAGGI ,  Danil NAGY

IPC: G06F17/50

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 and design objectives associated with the urban design project and then generates numerous candidate designs that meet the design criteria and optimize the design objectives to varying degrees. The evaluation engine evaluates each candidate design to generate a set of metrics. The geometry engine modifies the candidate designs based on corresponding metrics to generate candidate designs that better meet the design criteria and more effectively achieve the design objectives.

公开(公告)号：US20190065633A1

公开(公告)日：2019-02-28

申请号：US16112562

申请日：2018-08-24

Applicant: AUTODESK, INC.

Inventor： James STODDART ,  Danil NAGY ,  David BENJAMIN ,  Lorenzo VILLAGGI

IPC: G06F17/50

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：US20190026401A1

公开(公告)日：2019-01-24

申请号：US15956685

申请日：2018-04-18

Applicant: AUTODESK, INC.

Inventor： David BENJAMIN ,  James STODDART ,  Danil NAGY ,  Lorenzo VILLAGGI

IPC: G06F17/50

Abstract: A design engine generates a spectrum of design options to solve an architectural design problem. When generating a given design option, the design engine processes a set of design objectives and design constraints to generate an initial design plan. The initial design plan defines generative regions where geometry can be created and non-generative regions where geometry creation is restricted. The design engine generates a set of pathways that divide the design plan into multiple parcels and then divides each parcel further to produce a collection of cells. The design engine selects specific cells for major programs and merges these cells with adjacent cells until program space requirements are met. The design engine distributes minor programs within the remaining unoccupied cells of the design plan, thereby producing the design option.