GENERATING DESIGNS FOR MULTI-FAMILY HOUSING PROJECTS USING PHYSICAL SIMULATIONS OF DESIGN ELEMENTS

    公开(公告)号:US20210150095A1

    公开(公告)日:2021-05-20

    申请号:US17099745

    申请日:2020-11-16

    Applicant: AUTODESK, INC.

    Abstract: A design engine is configured to automatically generate and position design elements within designs for a multi-family housing project that corresponds to a parcel of land. Each design simultaneously meets local construction regulations while also meeting specific financial targets. The design engine generates a site model that reflects geometric attributes of the parcel of land, a building model that describes one or more buildings configured to occupy the parcel of land, and a parking lot model that describes a parking lot configured to occupy a remaining portion of the parcel of land. A design simulator executes various types of physical simulations with the site model, the building model, and/or the parking lot model to generate a vast number of different design options having widely varying configurations of design elements. The design engine evaluates these design options to identify those which balance compliance with construction regulations and achievement of financial targets.

    GENERATING DESIGNS FOR MULTI-FAMILY HOUSING PROJECTS USING SHAPE PARAMETER TRANSFORMATIONS

    公开(公告)号:US20210150093A1

    公开(公告)日:2021-05-20

    申请号:US17099639

    申请日:2020-11-16

    Applicant: AUTODESK, INC.

    Abstract: A design simulator executes a shape parameter engine that generates geometry corresponding to parking lots. The shape parameter engine implements a library of shapes, action markers, and construction rules to generate designs for parking lots. Each shape is a geometric the that can populate a design surface. Each action marker signifies an action that can occur at a specific location on the design surface. Each construction rule describes how shapes should be placed on the design surface relative to one or more action markers. The shape parameter generator tiles the design surface using the library of shapes, action markers, and construction rules to generate valid parking lot designs.

    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 MULTI-FAMILY HOUSING PROJECTS

    公开(公告)号:US20210150085A1

    公开(公告)日:2021-05-20

    申请号:US17099735

    申请日:2020-11-16

    Applicant: AUTODESK, INC.

    Abstract: A design engine automatically generates designs for multi-family housing projects that simultaneously meet local construction regulations while also meeting specific financial targets. The design engine includes a design analyzer, a site analyzer, a design generator, and a design evaluator. The design analyzer generates design trends based on a historical database of designs. The site analyzer generates design criteria based on relevant construction regulations. The design generator generates design options that reflect the design trends while also adhering to the construction regulations. The design evaluator then analyzes the design options and generates various design metrics. Based on the design metrics, the design generator generates additional design options that better meet the design criteria.

    MULTI-SCALE GENERATIVE DESIGN FOR MODULAR CONSTRUCTION

    公开(公告)号:US20240104257A1

    公开(公告)日:2024-03-28

    申请号:US18167036

    申请日:2023-02-09

    Applicant: AUTODESK, INC.

    CPC classification number: G06F30/13 G06F30/20

    Abstract: One embodiment of the present invention sets forth a technique for generating a modular design for a construction project. The technique includes executing generating a plurality of design options for the construction project, where each design option includes a site layout and a set of building designs for a set of buildings included in the site layout. The technique also includes computing a first set of performance metrics for the site layout associated with each design option and a second set of performance metrics for the set of building designs associated with each design option, and aggregating the first and second sets of performance metrics into a set of overall performance metrics for each design option. The technique further includes generating a set of candidate designs for the construction project based on the plurality of design options and the overall performance metrics associated with the plurality of design options.

    MODULAR GENERATION AND OPTIMIZATION OF BUILDING DESIGNS

    公开(公告)号:US20240104256A1

    公开(公告)日:2024-03-28

    申请号:US18167033

    申请日:2023-02-09

    Applicant: AUTODESK, INC.

    CPC classification number: G06F30/13 G06F30/20

    Abstract: One embodiment of the present invention sets forth a technique for generating a layout for a building. The technique includes determining a space occupied by the building and one or more rules associated with one or more example building layouts. The technique also includes iteratively assigning one or more sets of cells within the space to one or more building modules based on the one or more rules, where the one or more building modules represent one or more types of interior space within the building. The technique further includes generating the layout for the building based on the one or more sets of cells assigned to the one or more building modules.

    AGENT-BASED OPTIMIZATION OF MULTI-BUILDING SITE LAYOUTS

    公开(公告)号:US20240104255A1

    公开(公告)日:2024-03-28

    申请号:US18167032

    申请日:2023-02-09

    Applicant: AUTODESK, INC.

    CPC classification number: G06F30/13 G06F30/20

    Abstract: One embodiment of the present invention sets forth a technique for generating a multi-building layout for a site. The technique includes instantiating a plurality of agents representing a plurality of buildings located on the site based on a set of boundary conditions associated with the site. The techniques also include iteratively updating a plurality of states associated with the plurality of agents based on the set of boundary conditions and a plurality of behaviors associated with the plurality of agents. The techniques further include generating a layout for the site based on the plurality of states, wherein the layout comprises a plurality of building footprints for the plurality of buildings.

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