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.

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.

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.

Abstract: In various embodiments a computer-implemented method for providing sustainability insights to a user designing an object. The method includes determining a value of a sustainability metric associated with a design of an object; determining a target value for the sustainability metric; determining an amount of progress made towards achieving the target value for the sustainability metric based on the value of the sustainability metric and the target value for the sustainability metric; and displaying, via a graphical user interface (GUI), a visual indication of the amount of progress made towards achieving the target value for the sustainability metric.

Abstract: In various embodiments a computer-implemented method for providing sustainability insights to a user designing an object. The method includes determining a first value of a sustainability metric associated with a design of an object, displaying, via a graphical user interface (GUI), a visual indication of the first value of the sustainability metric, and detecting a change to the design of the object. The method further includes, in response to detecting the change to the design of the object, determining a second value of the sustainability metric and displaying, via the GUI, a visual indication of the second value of the sustainability metric.

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.

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.

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.

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.

Abstract: A design simulator executes a rigid body simulation to position design elements within various design options according to configurations that meet design criteria while also promoting feasibility and desirability. The design simulator assigns physical properties to each design element, including a mass value and a velocity value. The design simulator then simulates rigid body interactions between design elements over a sequence of simulation steps. The design simulator stops the rigid body simulation when no collisions between design elements are detected or when other termination criteria are met. Once the rigid body simulation is complete, the final positions of each design element relative to one another represent a specific configuration of design elements for the corresponding design option.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.