Generative fluid dynamics: integration of fast fluid dynamics and genetic algorithms for wind loading optimization of a free form surface

Abstract

The integration of simulation environments in generative, performance-driven form-finding methods is expected to enable an exploration into performative solutions of unprecedented complexity in architectural design problems. Computational fluid dynamics simulations have a wide range of applications in architecture, yet they are mainly applied at final design stages for evaluation and validation of design intentions, due to their computational and expertise requirements.This paper investigates the potential of a fast fluid dynamics simulation scheme in a generative optimization process, through the use of a genetic algorithm, for wind loading optimization of a free form surface. A problem-specific optimization environment has been developed for experimentation. The optimization process has provided valuable insight on both the performance objectives and the representation of the problem. The manipulation of the parametric description of the problem has enabled control over the solution space highlighting the relation of the representation to the performance outcome of the problem.