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Coupled form-finding and grid optimization approach for single layer grid shells
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DOI：10.1016/j.engstruct.2013.02.017.png)
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Abstract
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This paper demonstrates a novel two-phase approach to the preliminary structural design of grid shell structures, with the objective of material minimization and improved structural performance. The two-phase approach consists of: (i) a form-finding technique that uses dynamic relaxation with kinetic damping to determine the global grid shell form, (ii) a genetic algorithm optimization procedure acting on the grid topology and nodal positions (together called the 'grid configuration' in this paper). The methodology is demonstrated on a case study minimizing the mass of three 24 x 24 m grid shells with different boundary conditions. Analysis of the three case studies clearly indicates the benefits of the coupled form-finding and grid configuration optimization approach: material mass reduction of up to 50% is achieved. (C) 2013 Elsevier Ltd. All rights reserved.
Keywords:
Form-finding
Optimization
Dynamic relaxation
Genetic algorithms
Grid
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6.4
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2.1W
Citations:
8.7W
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