Innovative Material Computation in Architecture

Sep 10, 2024

Presentation Notes on Material Computation and Architectural Design

Introduction

  • Focus on the intellectual base of the research work.
  • Relevance of the findings to applied research.
  • Overview of computation in architecture:
    • Processing of information in both machinic (digital) and material (physical) realms.
    • Intersection of machine and material computation as a research focus.

Current State of Architectural Design

  • Traditional separation between design and making remains, but a new understanding of material architecture is emerging.
  • Material is being rediscovered through computational means.
  • Design computation viewed as an interface to the physical world.
  • Computation expands design space:
    • Engagement with natural and material world aspects.
    • Material as an active generator of design, not just a passive receptor.

Historical Context

  • Reference to Joseph Albers' material studies at Bauhaus:
    • Advocated for material experimentation over conventional craft knowledge.
    • Focused on material behavior as a creative domain for new construction modes.
  • Reference to Frei Otto's form-finding methods:
    • Investigated material systems to compute form.

Research Focus Areas

  1. Materiality
    • Investigating integration of material behavior in architectural design.
  2. Materialization
    • Shift in how materials are processed and integrated into design.
  3. Material Structure
    • Understanding structures as composites organized across multiple scales.
  4. Material Performance
    • Exploring new performative capacities in traditional materials like wood.

Research Projects Overview

1. Material Behavior and Computation

  • Examined wood as an ancient construction material due to its environmental virtues.
  • Most construction practice neglects wood’s internal makeup.
  • The project illustrates how wood can compute form through its elastic properties.
    • Example of a research pavilion at the Sart University:
      • Investigated how a simple force can lead wood to form complex curvatures.
      • Majority of structures built using thin plywood efficiently.
      • Design process integrated material behavior over mere geometric shape.
  • Key Takeaway: Material can actively generate design shapes and functions.

2. Materialization Processes

  • Investigating the transition from traditional methods to digital fabrication.
  • Numerical control and robotic fabrication provide opportunities for architectural exploration.
  • Case study of finger joints in wood:
    • Investigation of joint angles and thickness variations through robotic fabrication.
    • Mapping design possibilities within the morphospace of the machine.
  • Principles derived from nature are integrated into the design process.

3. Material Structures

  • Emphasizing the composite nature of biological structures.
  • Example of the lobster exoskeleton:
    • Materials arranged in a way that integrates various mechanical properties.
  • Research focused on how to adapt these principles to architecture through robotic fabrication:
    • Use of robotic filament winding to create structures that mimic biological systems.
  • Outcome: Development of lightweight, highly efficient architectural shells.

4. Material Performance

  • Investigating the moisture responsiveness of wood as a building material.
  • Exploration of a shape-changing veneer composite influenced by relative humidity.
  • Case study for the Pompidou Center:
    • Developed a kinetic installation demonstrating humidity-responsive behavior.
    • Further applications in a pavilion exhibiting an ecological response to environmental changes.

Conclusion

  • The research emphasizes a convergence of technology, biology, and architecture.
  • Aims to redefine the role of materials in architectural design by leveraging computational strategies.
  • Final Thoughts: The exploration of material behavior can lead to innovative architectural solutions that integrate ecological and performance-driven approaches.