Form-Finding and Structural Optimization: Gaudi-Inspired Design

Designing structures that are both visually striking and structurally efficient is one of the greatest challenges in modern architecture. By understanding how forces flow through three-dimensional space, you can design forms that naturally achieve static equilibrium. This text-based course introduces you to the core principles of form-finding and structural optimization, inspired by historical catenary design methods and modernized with computational algorithms. You will transition from manual geometric concepts to understanding how digital tools calculate and optimize structural shapes under various loads. What you'll learn: - Understand the foundational physics of static equilibrium, compression, and tension in three-dimensional systems. - Explore Gaudi-inspired hanging model principles and how they translate into digital thrust-network analysis. - Apply computational optimization techniques, such as genetic algorithms and particle-spring systems, to refine structural forms. - Analyze how different load paths and boundary conditions shape the final geometry of a building. - Draft basic algorithmic logic and pseudo-code for real-time structural analysis and form-finding. We begin with the fundamental terminology of structural mechanics and historical physical modeling techniques. From there, you will progress to modern mathematical optimization models and algorithmic strategies used to design efficient, load-bearing structures today. This course is designed for beginner architects, structural engineering students, and computational design enthusiasts. No prior programming or advanced calculus experience is required, as we build all concepts from the ground up. Start reading today to unlock the mathematical beauty of optimized structural design.