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Loam Walls with Algorithmically Generated 3D Natural Reinforcement

Developing AlgoLoam, a biodegradable, self-supporting loam wall solution reinforced with natural fibers, to reduce greenhouse gas emissions in sustainable architecture.

Subsidie
€ 4.532.625
2024

Projectdetails

Introduction

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.

Interdisciplinary Collaboration

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
  • Programmers

This collaboration will involve iterative processes to create critical interactions between disciplines.

Exploration of Materials

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. The goal is to reduce both relative and absolute contributions of greenhouse gas emissions embodied in new buildings.

Biomimetic Design

The natural 3D reinforcement embedded in the wall elements will act as a biomimetic/textile inspired skeleton. This design will create a symbiotic, mutually interdependent, and enabling natural composite material system.

Material Optimization

Optimal usage of materials and improved mechanical properties and load-bearing capabilities of the loam volume will be ensured by:

  1. Applying topology optimization
  2. Utilizing algorithmic and parametric variation of the natural composite

Production Process

AlgoLoam will be optimized for a CO2 neutral production process through digital fabrication. This process will be digitally enabled and optimized by the use of computational models.

Digital Twins and Life Cycle Assessment

We will model and generate algorithmically digital twins of the wall elements. These will include information about material choices, implications, and consequences, such as:

  • Heritage
  • Sourcing
  • End of life cycle (cradle to cradle)
  • Life Cycle Assessment analysis

Through this approach, we aim for a holistic perspective on building design, construction, operation, and decommissioning.

Financiële details & Tijdlijn

Financiële details

Subsidiebedrag€ 4.532.625
Totale projectbegroting€ 4.532.625

Tijdlijn

Startdatum1-10-2024
Einddatum30-9-2028
Subsidiejaar2024

Partners & Locaties

Projectpartners

  • TECHNISCHE UNIVERSITAET WIENpenvoerder
  • HOCHSCHULE REUTLINGEN - TECHNIK-WIRTSCHAFT-INFORMATIK-DESIGN
  • WAGENINGEN UNIVERSITY
  • ONCEMORE GMBH
  • MALMO UNIVERSITET
  • JAZZING AUTOMATION DRUSTVO SA OGRANICENOM ODGOVORNOSCU JABUKA
  • UNIVERSITAT FUR ANGEWANDTE KUNST WIEN
  • WIENERBERGER AG
  • Vlasceanu GmbH

Land(en)

AustriaGermanyNetherlandsSwedenSerbia

Inhoudsopgave

EIC Pathfinder

Financiering tot €3–4 mln voor high‑risk, high‑gain onderzoek naar baanbrekende technologieën binnen Horizon Europe.

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