Techniques for automatically designing frame systems associated with buildings

One or more non-transitory computer readable media including instructions that, when executed by one or more processors, cause the one or more processors to generate a design of a frame system associated with a building by performing the steps of:

• determining a set of potential frame locations based on a frame grid for a structural system and a computer-aided design of the structural system;
• computing a plurality of dead loads associated with a plurality of floors included in the building and a plurality of live loads associated with the plurality of floors based on the computer-aided design of the structural system;
• computing a building load centroid based on the plurality of dead loads and the plurality of live loads;
• bifurcating the set of potential frame locations based on the building load centroid to generate a plurality of frame groups;
• generating a genetic algorithm within an iterative optimization application associated with a frame system definition optimization problem, the genetic algorithm being based on the plurality of frame groups, wherein the genetic algorithm determines a plurality of values for a plurality of location counts associated with the plurality of frame groups by performing one or more search-based optimization operations based on a building objective value of an objective function that quantifies one or more design objectives;
• executing an iteration of the genetic algorithm on a first building objective value for the objective function that is associated with a first plurality of values for the plurality of location counts to determine a second plurality of values for the plurality of location counts;
• generating the design of the frame system based on the plurality of frame groups and the second plurality of values for the plurality of location counts;
• and
• transmitting the design of the frame system to an iterative sizing application within the iterative optimization application, the iterative sizing application being associated with a vertical and lateral load design optimization problem, wherein the iterative sizing application generates a new building objective value for execution of a subsequent iteration of the genetic algorithm.

A system comprising:

• one or more memories storing instructions;
• and
• one or more processors coupled to the one or more memories that, when executing the instructions, perform the steps of:
• determining a set of potential frame locations based on a frame grid for a structural system of a building and a computer-aided design of the structural system;
• computing a plurality of dead loads associated with a plurality of floors included in the building and a plurality of live loads associated with the plurality of floors based on the computer-aided design of the structural system;
• computing a building load centroid based on the plurality of dead loads and the plurality of live loads;
• bifurcating the set of potential frame locations based on the building load centroid to generate a plurality of frame groups;
• generating a genetic algorithm within an iterative optimization application associated with a frame system definition optimization problem, the genetic algorithm being based on the plurality of frame groups, wherein the genetic algorithm determines a plurality of values for a plurality of location counts associated with the plurality of frame groups by performing one or more search-based optimization operations based on a building objective value of an objective function that quantifies one or more design objectives;
• executing an iteration of the genetic algorithm on a first building objective value for the objective function that is associated with a first plurality of values for the plurality of location counts to determine a second plurality of values for the plurality of location counts;
• generating a design of a frame system based on the plurality of frame groups and the second plurality of values for the plurality of location counts;
• and
• transmitting the design of the frame system to an iterative sizing application within the iterative optimization application, the iterative sizing application being associated with a vertical and lateral load design optimization problem, wherein the iterative sizing application generates a new building objective value for execution of a subsequent iteration of the genetic algorithm.