Simulation for Design
Category
Graph theory and mapping systems – ESR6
ESR6 – MULTI SCALAR MODELLING FOR BUILDING DESIGN
AUTHOR: Paul Poinet
The information data contained within an architectural project is usually increasing proportionally with time.
At the beginning of the design process, it is possible manipulate data in a very flexible manner and observe...
ESR09- SIMULATING CONCRETE FORMWORK
The PhD student will investigate and develop methods for the simulation of formwork in architecture. This will entail research into the transformation between states of fluidity and solidity germane to casting, the dynamic relationship between casting material, formwork and environmental factors, and the architectural possibilities and consequences.
ESR08- VIRTUAL PROTOTYPING FRP
Current practice uses digital fabrication technologies to optimise standardised fabrication processes. Often accompanied by trial-and-error approaches, the limits of digital fabrication methods are quickly reached without a thorough understanding of the strength and limits of the forming processes and the materials.
ESR07- GEOMETRY-INDUCED VARIABLE STIFFNESS STRUCTURES
Load bearing structures generally show preferred directions for channelling internal forces that depend on geometry and prevailing support conditions (anisotropy). Current material practice does not take advantage of anisotropic material properties.
ESR06- MULTI SCALAR MODELLING FOR BUILDING DESIGN
Industrial Partners: Buro Happold, designtoproduction. Investigating multi scale modelling principles for architectural design. Multi-scale modelling is an interdisciplinary research topic in which systems are modelled at multiple scales and interfaced enabling the modelling of low scale systems to parametrisise and inform high scale systems . The project investigates multi scalar modelling as a means to support iterative build-up of knowledge in the design process in which highly specified material simulations interface with open ended design models.
ESR10- SIMULATING ROBOTIC FEEDBACK
This project investigates real-time and real-matter feedback in robotic manufacturing for design.