Abstract: Embodiments disclosed herein provide systems and methods optimizing geometries. In one embodiment, a computer-implemented method is provided. The method includes receiving, at a programmed computing device, a geometry comprising a plurality of edges and selecting a set of edges from the plurality of edges based on an intersecting location in which two or more the edges intersect. For each edge of the set of edges, a density is determined that corresponds to the intersecting location for the set of edges. The method further includes determining a target density related to the intersecting location in view of an aggregate of the density associated with respective edges of the set of edges. The target density indicates a gradient of a falloff for the intersecting location.

Abstract: Generative design uses artificial intelligence to automatically create optimal designs from a set of system design requirements. A generative design system receives user-supplied design requirements and generates an optimized geometry by chaining iterative applications of computer aided generative design. In one aspect, the system uses the output of a first generative design process as a requirement of or as part of the design requirements for a second generative process, with or without intervening user input. In another aspect, the system enables designers to incrementally or iteratively specify and edit design requirements such that each resulting geometry is derived from a previously or most recently generated optimized geometry and optionally updated design requirements. The system, by using or reusing outputs and/or data from previous design iterations can produce subsequent designs more efficiently and quickly.

Abstract: Embodiments disclosed herein provide systems and methods optimizing geometries. In one embodiment, a computer-implemented method is provided. The method includes receiving, at a programmed computing device, a geometry comprising a plurality of edges and selecting a set of edges from the plurality of edges based on an intersecting location in which two or more the edges intersect. For each edge of the set of edges, a density is determined that corresponds to the intersecting location for the set of edges. The method further includes determining a target density related to the intersecting location in view of an aggregate of the density associated with respective edges of the set of edges. The target density indicates a gradient of a falloff for the intersecting location.

Abstract: Embodiments disclosed herein provide systems and methods optimizing geometries. In one embodiment, a computer-implemented method is provided. The method includes receiving, at a programmed computing device, a geometry comprising a plurality of edges and selecting a set of edges from the plurality of edges based on an intersecting location in which two or more the edges intersect. For each edge of the set of edges, a density is determined that corresponds to the intersecting location for the set of edges. The method further includes determining a target density related to the intersecting location in view of an aggregate of the density associated with respective edges of the set of edges. The target density indicates a gradient of a falloff for the intersecting location.

Abstract: Embodiments disclosed herein provide systems and methods optimizing geometries. In one embodiment, a computer-implemented method is provided. The method includes receiving, at a programmed computing device, a geometry comprising a plurality of edges and selecting a set of edges from the plurality of edges based on an intersecting location in which two or more the edges intersect. For each edge of the set of edges, a density is determined that corresponds to the intersecting location for the set of edges. The method further includes determining a target density related to the intersecting location in view of an aggregate of the density associated with respective edges of the set of edges. The target density indicates a gradient of a falloff for the intersecting location.