AlgoLoam Loam Walls with Algorithmically Generated 3D Natural Reinforcement

Summary

We aim to develop Loam Walls with Algorithmically generated 3d Natural Fibre Reinforcement (AlgoLoam), as the first completely biodegradable, made of exclusively natural materials, self-supporting reinforced light loam wall solution, totally or partially prefabricated. AlgoLoam will be developed by an interdisciplinary team of architects, material scientists, textile technology experts, biomimetics experts, sustainability experts, mechanical engineers, loam/clay product developers and programmers, through collaborative, iterative processes to create critical interactions between disciplines. We will explore the applicability and limitations of using exclusively natural and sustainable, CO2 negative, materials to create a wall solution with multiple applications in architecture and interior design with the potential to reduce relative and absolute contributions of greenhouse gas emissions embodied in new buildings. The natural 3D reinforcement embedded in the wall elements will act as a biomimetic/ textile inspired skeleton, making the wall solution a symbiotic, mutually interdependent and enabling natural composite material system. Optimal usage of materials and improved mechanical properties and load-bearing capabilities of the loam volume will be ensured by applying topology optimisation and through algorithmic and parametric variation of the natural composite. AlgoLoam will be optimised for a CO2 neutral production process as digital fabrication, digitally enabled and optimised by the use of computational models. We will modell and generate algorithmically digital twins of the wall elements to will include information about material choices implications and consequences, such as heritage, sourcing to end of life cycle (cradle to cradle) and Life Cycle Assessment analysis, through which we aim for a holistic approach to building design, construction, operation and decommissioning.

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Web resources:	https://cordis.europa.eu/project/id/101161620
Start date:	01-10-2024
End date:	30-09-2028
Total budget - Public funding:	4 532 625,00 Euro - 4 532 625,00 Euro