Stress-Responsive Spatial Voronoi Optimization for Lightweight Architectural Shell Structures

Gradient porous structures (GPS) offer significant mechanical and functional advantages over homogeneous counterparts. This paper proposes a computational design framework utilizing spatial Voronoi diagrams to create lightweight, stress-responsive spatial frames optimized for architectural double-curvature arched shell roofing components. The method integrates Solid Isotropic Material with Penalization (SIMP)-based topology optimization (TO) to establish initial stress-informed material distributions, adaptive Voronoi control point (CP) placement guided by localized stress data, and a bi-objective genetic algorithm (GA) optimizing maximum and average displacement. Following optimization, a weighted Lloyd relaxation (LR) refines Voronoi cells into spatial frameworks with varying densities corresponding to stress gradients. Finite Element Analysis (FEA) demonstrates that the optimized Voronoi-driven GPS achieves notable improvements, revealing up to 79.7% material volume reduction and significant improvement in structural efficiency, achieving a stiffness-to-weight ratio (SWR) exceeding 2200 in optimized configurations. Furthermore, optimized structures consistently maintain maximum von Mises (MVM) stresses below 20 MPa, well within the allowable yield strength of the Polyethylene Terephthalate Glycol (PETG) material (53 MPa). The developed framework effectively bridges structural performance, material efficiency, and aesthetic considerations, offering substantial potential for application in advanced, high-performance architectural systems.

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Publication Details

Journal
Buildings
Published
2025-05-03
DOI
https://doi.org/10.3390/buildings15091547
Citations
3
Primary Topic
Topology Optimization in Engineering
Type
article
Field-Weighted Citation Impact
2.86
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article

Stress-Responsive Spatial Voronoi Optimization for Lightweight Architectural Shell Structures

Da Wan, Haining Zhou, Weijiu Cui, Hiroatsu Fukuda et al.
3 citations
Buildings
Topology Optimization in Engineering
2.86
article

Stress-Responsive Spatial Voronoi Optimization for Lightweight Architectural Shell Structures

Da Wan, Haining Zhou, Weijiu Cui, Hiroatsu Fukuda, Xinyu Shi, Ke Bi, Rong Jiao, Wenxuan Zhao
article en
3 citations

Abstract

Gradient porous structures (GPS) offer significant mechanical and functional advantages over homogeneous counterparts. This paper proposes a computational design framework utilizing spatial Voronoi diagrams to create lightweight, stress-responsive spatial frames optimized for architectural double-curvature arched shell roofing components. The method integrates Solid Isotropic Material with Penalization (SIMP)-based topology optimization (TO) to establish initial stress-informed material distributions, adaptive Voronoi control point (CP) placement guided by localized stress data, and a bi-objective genetic algorithm (GA) optimizing maximum and average displacement. Following optimization, a weighted Lloyd relaxation (LR) refines Voronoi cells into spatial frameworks with varying densities corresponding to stress gradients. Finite Element Analysis (FEA) demonstrates that the optimized Voronoi-driven GPS achieves notable improvements, revealing up to 79.7% material volume reduction and significant improvement in structural efficiency, achieving a stiffness-to-weight ratio (SWR) exceeding 2200 in optimized configurations. Furthermore, optimized structures consistently maintain maximum von Mises (MVM) stresses below 20 MPa, well within the allowable yield strength of the Polyethylene Terephthalate Glycol (PETG) material (53 MPa). The developed framework effectively bridges structural performance, material efficiency, and aesthetic considerations, offering substantial potential for application in advanced, high-performance architectural systems.

BuildingsVol. 15(9)
Tianjin Chengjian University (CN), The University of Kitakyushu (JP), Qingdao University of Technology (CN)
Sustainable cities and communities
Openalex Percentile: Top 11%
Topology Optimization in Engineering
2.86
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