DIVERSITY-BASED OPTIMIZATION OF GENERATIVE GEOMETRY SYSTEMS

    公开(公告)号:US20240346194A1

    公开(公告)日:2024-10-17

    申请号:US18301888

    申请日:2023-04-17

    Applicant: AUTODESK, INC.

    CPC classification number: G06F30/13 G06F2119/02

    Abstract: One embodiment of the present invention sets forth a technique for generating a modular design for a construction project. The technique includes determining a first set of candidate designs for the construction project. The technique also includes for each candidate design included in the first set of candidate designs, generating a set of design options based on one or more portions of the candidate design and determining a set of performance metrics and a set of attributes associated with the set of design options. The technique further includes generating a second set of candidate designs for the construction project based on the sets of design options associated with the first set of candidate designs, the sets of performance metrics associated with the sets of design options, and the sets of attributes associated with the sets of design options.

    TECHNIQUES FOR AUTOMATICALLY ANALYZING COMPETING DESIGN OBJECTIVES WHEN GENERATING DESIGNS FOR URBAN DESIGN PROJECTS

    公开(公告)号:US20190147118A1

    公开(公告)日:2019-05-16

    申请号:US16184972

    申请日:2018-11-08

    Applicant: AUTODESK, INC.

    Abstract: An urban design pipeline is configured to automatically generate design options that meet competing design objectives. A geometry engine within the urban design pipeline generates candidate designs for an urban design project. An evaluation engine within the urban design pipeline evaluates the degree to which each candidate design addresses the competing design objectives to produce a set of design metrics. A tradeoff engine within the urban design pipeline generates a design tradeoff space based on the candidate designs and corresponding design metrics. The tradeoff engine traverses the design tradeoff space based on performance modifications to adjust the degree to which the competing design objectives are addressed. The performance modifications can be obtained from any number of stakeholders in the urban design project. In this manner, the urban design pipeline generates and/or modifies candidate designs to generate design options that balance competing design objectives that potentially originate from multiple stakeholders.

    GENERATIVE SPACE PLANNING IN ARCHITECTURAL DESIGN FOR EFFICIENT DESIGN SPACE EXPLORATION

    公开(公告)号:US20190026402A1

    公开(公告)日:2019-01-24

    申请号:US15956689

    申请日:2018-04-18

    Applicant: AUTODESK, INC.

    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.

    TECHNIQUES FOR ACCELERATING THE DESIGNING OF MANUFACTURING FACILITIES

    公开(公告)号:US20220318440A1

    公开(公告)日:2022-10-06

    申请号:US17220813

    申请日:2021-04-01

    Applicant: AUTODESK, INC.

    Abstract: Techniques are disclosed for designing manufacturing facilities. A design application imports a computer-aided design (CAD) model and metadata associated with a manufacturing facility to generate a data set that specifies geometric and manufacturing constraints of the manufacturing facility. The design application performs optimization operations based on the data set to identify one or more high-performing designs that assign components to docks in the manufacturing facility. The optimization operations can include genetic optimization operations that generate multiple generations of designs, each of which is evaluated based on a travel distance, congestion, and number of turns associated with paths traversed by components for the design.

    TECHNIQUES FOR AUTOMATICALLY GENERATING URBAN AND NEIGHBORHOOD DESIGNS

    公开(公告)号:US20220198087A1

    公开(公告)日:2022-06-23

    申请号:US17693920

    申请日:2022-03-14

    Applicant: AUTODESK, INC.

    Abstract: An urban design pipeline automatically generates design options for an urban design project based on a financial model. The urban design pipeline includes a geometry engine that generates candidate designs to meet various design criteria and design objectives associated with the urban design project. The urban design pipeline also includes an evaluation engine that evaluates the candidate designs based on the financial model. The financial model quantifies the financial performance of any given candidate design. The urban design pipeline operates iteratively to improve the candidate designs until one or more convergence criteria are met, thereby generating a set of design options with acceptable financial performance.

    OPTIMIZING BUILDING DESIGN FOR FUTURE TRANSFORMATION AND EXPANSION

    公开(公告)号:US20210150090A1

    公开(公告)日:2021-05-20

    申请号:US17098287

    申请日:2020-11-13

    Applicant: AUTODESK, INC.

    Abstract: Various embodiments set forth systems and techniques for determining expandability of a budding design. The techniques include receiving a building geometry indicating a size of a building and a shape of the building; receiving building placement data indicating a placement of the building within a site; identifying one or more remaining spaces within the site based at least on the size of the building, the shape of the building, and the placement of the building within the site; for each remaining space of the one or more remaining spaces: determining whether the remaining space is a usable space; based on the determining whether the remaining space is a usable space, generating a space expansion value corresponding to the remaining space; and computing, based on space expansion values corresponding to the one or more remaining spaces, one or more aggregate expansion values associated with the building geometry and the building placement.

    OPTIMIZING BUILDING DESIGN AND ARCHITECTURE FOR SUSTAINABILITY CERTIFICATION

    公开(公告)号:US20210150089A1

    公开(公告)日:2021-05-20

    申请号:US17098280

    申请日:2020-11-13

    Applicant: AUTODESK, INC.

    Abstract: Various embodiments set forth systems and techniques for assessing sustainability of a building design. The techniques include receiving a building design for a budding and sustainability certification data describing a plurality of sustainability certification systems; selecting one or more particular sustainability certification systems from the plurality of sustainability certification systems; computing a respective sustainability certification value for each sustainability certification system of the one or more particular sustainability certification systems; and performing one or more building design operations based on sustainability certification system values for the one or more particular sustainability certification systems.

    GENERATIVE DESIGN TECHNIQUES FOR AUTOMOBILE DESIGNS

    公开(公告)号:US20230060989A1

    公开(公告)日:2023-03-02

    申请号:US18047607

    申请日:2022-10-18

    Applicant: AUTODESK, INC.

    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.

    AUTOMATED GENERATION AND EVALUATION OF ARCHITECTURAL DESIGNS

    公开(公告)号:US20220391552A1

    公开(公告)日:2022-12-08

    申请号:US17820867

    申请日:2022-08-18

    Applicant: AUTODESK, INC.

    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.

    TECHNIQUES FOR AUTOMATICALLY GENERATING DESIGNS HAVING CHARACTERISTIC TOPOLOGIES FOR URBAN DESIGN PROJECTS

    公开(公告)号:US20220083704A1

    公开(公告)日:2022-03-17

    申请号:US17531622

    申请日:2021-11-19

    Applicant: AUTODESK, INC.

    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.

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