Computational morphogenesis of spatial structures by structural optimization using finite element method and a genetic algorithm

This thesis focuses on computational design techniques that incorporate structural considerations in the early stages of the architectural design process. Since structural behavior is most affected by geometric form and problems are mainly associated with the complexity of their design process in the early conceptual design. This research conceptual structure is based on complex interactions between architectural forms and the functionality of the design. Starting from the complex problems that arise from non-standard architecture, free form, and other specific constructive aspects. This highlights the most important consequences of free form and the complexity of design evolution and uses them to develop a typology of design complexity and explores the contribution of how computational technologies and design strategies enable us to address complexity with the help of advancements. For a better understanding of computational complexity and mechanisms that take part in conceptual design processing, and a thorough search for structural efficiency to solve a more complex issue than reality and achieve an original solution through direct search method of optimization using mathematic–mechanical modeling operations with the aid of computer models/simulations. These models address how complex systems are formed, how they evolve, and how they can break down. The interdisciplinary scientific approach is concerned with theoretical studies of real-world engineering design to understand the relationship between architectures (topologies) and dynamics and to evaluate structural systems with physical and geometrical nonlinearities with which to explain how the concept of architectonic is continuously transformed within contingent, complex, and dynamic structural design practices as buildings materialize.