This work presents the structural design, using OpenSees modeling, of a laminated wood space frame roof inspired by the wings of a seagull in flight. The geometry is based on a hyperbolic paraboloid, a double-curved ruled surface that combines structural lightness with architectural impact. Geometric analysis confirms its ruled nature, allowing construction with straight linear elements. The OpenSees model discretizes the surface into a regular nodal grid with elastic beam-column elements. Main nodes are supported by perimeter columns, and curvature is achieved by varying nodal heights. Static analysis evaluates displacements and internal forces under loads, demonstrating effective stress distribution and stability. The integration of mathematical form, structural efficiency, and natural inspiration makes this roof a remarkable example of synergy between engineering and architecture.

Geometric modelling of a lattice structure for large roofs with OpenSees

Mazzei, Mauro
Primo
Methodology
2026

Abstract

This work presents the structural design, using OpenSees modeling, of a laminated wood space frame roof inspired by the wings of a seagull in flight. The geometry is based on a hyperbolic paraboloid, a double-curved ruled surface that combines structural lightness with architectural impact. Geometric analysis confirms its ruled nature, allowing construction with straight linear elements. The OpenSees model discretizes the surface into a regular nodal grid with elastic beam-column elements. Main nodes are supported by perimeter columns, and curvature is achieved by varying nodal heights. Static analysis evaluates displacements and internal forces under loads, demonstrating effective stress distribution and stability. The integration of mathematical form, structural efficiency, and natural inspiration makes this roof a remarkable example of synergy between engineering and architecture.
2026
Istituto di Analisi dei Sistemi ed Informatica ''Antonio Ruberti'' - IASI
numerical analysis; lattice structure; structural assessment; optimization
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/568282
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