Adaptive Framework for Structural Pattern Optimization

This research outlines a new computational workflow for the design and optimization of patterned, perforated surface structures. Well-designed surface structures can be highly efficient on their own, but their potential for structural efficiency can be notably improved by deliberately introducing specific aperture patterns. Patterned surfaces can also be used to produce more stimulating architectural environments, and even those of increasing complexity can be realized thanks to recent developments in digital fabrication. With this said, designers currently lack a streamlined and rigorous approach for the exploration of patterned surface structures. This research aims to address this issue by advancing a recent work that employs NURBS-based isogeometric analysis to integrate structural analysis into an accessible CAD modeling platform. Specifically, this paper proposes an adaptive pattern optimization framework formulated to save designers appreciable computational time. Not only does this framework offer a way to quickly visualize various design solutions, but it also provides the designer an important opportunity for design interaction and control over design evolution, in turn lending itself as a versatile tool for the exploration and conceptual design of patterned surface structures.