RawLam 3

How can CT scanning help reduce the waste of timber in the construction industry?

At the exhibition '70 % Less CO2' you can explore the project 'RawLam 3'.

RawLam explores how design integration of materials’ resource data enables the use of lower-grade timber in high-performance architectural building elements.

The project develops new data-driven methods to integrate timber’s CT scanning data into the design model. The data is used to model the unique material heterogeneity of single-timber lamella and strategically place them in a performance-optimised model.

This broadens the range of timber grades that can be used in construction. It makes it possible to place stronger material resources (denser timber parts) where performance is needed and weaker material resources (knots or highly varied timber components) where performance is less rigorous.

In the current wasteful production of timber for buildings, up to 70% of input forest material is declared low quality and cut or milled away in process.