Discrete Optimization in Architecture (eBook)

Dr. Machi Zawidzki’s doctoral research focused on various optimization methods based on CI for the fundamental problems of the architectural design: Functionality, Structure and Aesthetics. His research interests are indesigning built environment, especially in ergonomics and architectural design.

Quantization in Architecture & Urban Design:1. Tessellation of space1.1 Traditional grid/guideline systems (before the computer era)1.1.1 Architecture1.1.2 Urban Design1.2 Modern (of the computer era) grid systems1.2.1 “Collateral” systems, that is, derived from existing image pixelation1.2.2. Space discretization serving optimization1.2.3 Novel architectonic grid systems1.2.3.1 Fine grid (“one cell = one agent”)1.2.3.1.1 Agent based modeling for crowd simulation1.2.3.1.2 Simulation in regular tessellations: Square, Triangular& Hexagonal1.2.3.2 Coarse grid (“cell side = minimal corridor width” )2. Discretization of Time2.1 The role of time in architectural (and urban design?)2.1.1 Crowd simulations2.1.2 Daylight simulations3. Module as a building component3.1 Definition of a modular system and an overview of existing modular systems3.2. Principles of two novel modular systems: Pipe-Z (PZ) & Truss-Z (TZ)3.2.1 Deployability of PZ & TZ4. Bringing it all together: Overview of the cellular automaton (CA) shading as a system with discrete time& space and realized with congruent modules.4.1 Building Envelope and Daylighting4.2 Why cellular automata (CA) to drive shading of building envelopes?4.3 One-dimensional CA applied on surfaces4.3.1 Various CA in square grid4.3.2 Other regular tessellations: hexagonal and triangular4.3.3 Rotating polarized film shading system4.4 Two-dimensional CA on surfaces4.4.1 Triangular CA4.4.2 CA on triangulated free-form surfaces4.5 Application of evolutionary algorithms for optimization of CA shading4.6 Prototypes