Digital Culture & AudioVisual Challenges

The evolution of architectural design is increasingly informed by nature’s self-organising systems, offering insights into how complex structures can emerge dynamically rather than being predefined. This research investigates the intersection of biological emergence and computational design, specifically through the role of pollinators—primarily honeybees—in shaping material organisation and spatial structures. By studying the collective intelligence of honeybee colonies and their hive construction processes, this work seeks to develop a theoretical and conceptual framework for "Living Architectures" that integrate natural adaptability with computational methodologies. The goal is to develop high-resolution tectonics, where biologically informed structures emerge dynamically from simple computational rules rather than being predetermined, taking into consideration the required microclimate conditions for the organisms’ well-being [1]. Instead of merely imitating nature’s forms, the goal is to replicate the underlying processes that create efficient, adaptable, and sound designs. The honeycomb structure is often thought to be a perfect, pre-designed hexagonal grid. However, its formation is actually an emergent process, influenced by multiple factors [2]:

• Morphogenetic capacity of materials: Bees deposit wax in a viscous state, and as it solidifies, physical forces reshape it into hexagons.
• Stigmergic behaviour: Bees communicate indirectly by modifying their environment, influencing the work of others.
• Environmental adaptability: Hives grow dynamically, adjusting to environmental conditions like temperature and airflow.

The study aims to extract these three fundamental behaviours from the biological process to apply them in an artificial system:

• Morphogenetic capacity of materials: Materials change shape over time due to mechanical forces.
• Stigmergic behavior: Structures emerge from local interactions between agents, with no central control.
• Environmental adaptability: Structures respond dynamically to external factors like wind and temperature.

On a methodological level, computational simulations for corrugated surfaces and spatial enclosures of varying levels of complexities, macro-scale porosity and inter-connectivity are studied. These complex surfaces with increased surface area are aimed to foster the organisms’ well-being inside the intricate crevices, taking into account the indoor microclimatic conditions. The software employed is Rhinoceros 3D and the integrated visual programming platform Grasshopper [3,4]. Τhe design strategies explore free-form Differential Growth [5], Gyroid formations [6] and Agent-Based Stigmergic simulations [7, 8]. Additionally, the Ladybug Tools plugin [9] is employed to assess the internal conditions of the beehive structures, focusing on key factors such as indoor thermal comfort, or other relevant environmental parameters.

While human comfort has been extensively studied in architectural design, to the best of the authors' knowledge, a research gap exists in developing a theoretical framework that applies well-established computational methodologies used for human comfort analysis to a holistic tectonics approach—one that also considers the long-term well-being and comfort of other living organisms, such as bees. This research seeks to bridge this gap by exploring how the integration of natural emergence with human design intent, through computational design strategies, can foster sustainable, adaptive structures that prioritise the well-being of their tiny inhabitants.

References

1. Gil-Lebrero, S.; Navas González, F. J.; Gámiz López, V.; Quiles Latorre, F. J.; Flores Serrano, J. M. Regulation of Microclimatic Conditions inside Native Beehives and Its Relationship with Climate in Southern Spain. Sustainability 2020, 12 (16), 6431. https://doi.org/10.3390/su12166431.
2. Monesi, R.; Erioli, A. Homeorhetic Assemblies - Turning Beehive Formation Dynamics into High-Res Tectonics. eCAADe Proceedings 2016, 1, 435–444. https://doi.org/10.52842/conf.ecaade.2016.1.435.
3. McNeel and Associates. Rhinoceros 3D; McNeel and Associates: Seattle, WA, 2025. https://www.rhino3d.com/ (accessed February 28, 2025).
4. McNeel and Associates. Grasshopper; McNeel and Associates: Seattle, WA, 2025. https://www.grasshopper3d.com/ (accessed February 28, 2025).
5. Garikipati, K.; Goriely, A.; Kuhl, E.; Menzel, A. Mini-Workshop: Mathematics of Differential Growth, Morphogenesis, and Pattern Selection. Oberwolfach Reports 2016, 12 (4), 2895–2910. https://doi.org/10.4171/OWR/2015/49.
6. Anwajler, B., Szołomicki, J., & Noszczyk, P. (2024). Application of a gyroid structure for thermal insulation in building construction. Materials, 17(24), 6301. https://doi.org/10.3390/ma17246301
7. Baharlou, E.; Menges, A. Toward a Behavioral Design System: An Agent-Based Approach for Polygonal Surface Structures. ACADIA 2015: Disruptive Criticism 2015, 161–168. https://papers.cumincad.org/data/works/att/acadia15_161.pdf (accessed February 28, 2025).
8. Monesi, R., & Erioli, A. (2016). Homeorhetic assemblies – Turning beehive formation dynamics into high-res tectonics. In A. Herneoja, T. Österlund, & P. Markkanen (Eds.), Complexity & simplicity: Proceedings of the 34th eCAADe Conference (Vol. 1, pp. 435–444). University of Oulu.
9. Ladybug Tools. Ladybug Tools; Ladybug Tools: n.d. https://www.ladybug.tools/ (accessed February 28, 2025).