Supervisor: Prof. Martin Tamke
Research team: Mette Ramsgaard Thomsen, Martin Tamke, Paul Nicholas, Tom Svilans, Nadja Gaudillière- Jami, Giuliano Galluccio
The research carried out at CITA is aimed at outlining a methodology for LCA application to digital fabrication with bio-based materials in experimental research practices. The methodology is tested on two ERC funded projects: bio-polymeric composited 3D robotic fabrication (“Radicant”) and for glulam manufacturing optimization (“RawLam”). The LCA analysis involves the phases of raw materials collection, transportation and manufacturing, along with the prototyping, transportation and the construction of the exhibitions. Results show how it is possible to use the methodology to perform LCA analysis on experimental digital fabrication processes. The lack of available data, difficulties in protocol adaptation and research process traceability emerged as the main barriers in a rigorous LCA adoption. These conditions contribute to aggravate the analysis’s uncertainty. The research, however, performed sensitivity analysis to overcome such uncertainties, in order to allow to evaluate different impact scenarios.
Supervisor: Assistant Prof. Tom Svilans
Research team: Mette Ramsgaard Thomsen, Martin Tamke, Tom Svilans, Ee Pin Choo, Minori Ogoshi
The contribution of Minori Ogoshi was situated in the finite-element analysis (FEA) and material simulation development in the EMA Timber Track. The purpose of this study was to survey existing techniques for modelling the fibre direction around knots in trees and to determine how they could be integrated into the EMA Timber Track modelling environment. As part of her research at CITA, she implemented different models for fibre deviation in heterogeneous timber elements, which was crucial to accurately simulate their mechanical performance. Also, computer vision techniques were investigated for extracting orthotropic material orientations directly from computed tomography (CT) scans of harvested logs. These different techniques helped to expand the available techniques for analysing the heterogeneous properties of the forest resource and how they could be used further in architectural design modelling and simulation workflows.
The Eco-Metabolistic Architecture project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 101019693).