This research explores a novel structural system based on Carbon Nanotube (CNT) yarns, Galvorn, a material known for its exceptional strength, light weight, conductivity, and flexibility. The study focuses on a parametric structural prototype composed of a central hollow mast, 3D-printed dented spacers in compression, and a woven pattern of CNT yarns in tension. The woven pattern is generated using a robotic arm that places the fibres according to a precise geometric design and post-tensions the structure to substantially improve its structural performance while minimizing material use. This method enables the production of customized structural components using parametric tools and robotic fabrication technologies.

Each CNT fibre-woven component can adopt a unique geometric and structural pattern to meet specific static requirements as well as architectural and environmental considerations. Inspired by the experimental works of French engineer Robert Le Ricolais, the prototype can function as a column or a beam, combining efficient use of material with distinctive aesthetics. Preliminary structural tests show substantial improvements in static capacity compared to conventional beams or columns, with minimal increase in weight or material.

The prototype has the potential to be used as an integrated structural and environmental component in buildings and urban infrastructures. Its conductive properties allow the integration of lighting and data network systems, while its structural efficiency and lightweight design make it suitable for columns, beams, or modular frameworks. It can also support ecological functions, including harvesting photovoltaic energy and rainwater, opening new possibilities for sustainable and adaptive architectural applications.

Preliminary physical models

Digital Models

CNT Fiber-woven Prototype