Optimal design of nonlinear large-scale suspendome using cascade optimization

Abstract

Large-scale suspendomes are elegant architectural structures which cover a vast area with no interrupting columns in the middle. These domes have attractive shapes which are also economical. Domes are built in a wide variety of forms. In this article, an algorithm is developed for optimum design of domes considering the topology, geometry, and size of member section using the cascade-enhanced colliding bodies optimization method. In large-scale space steel structures, a large number of design variables are involved. The idea of cascade optimization allows a single optimization problem to be tackled in a number of successive autonomous optimization stages. The variables are the optimum height of crown and tubular sections of these domes, the initial strain, the length of the struts, and the cross-sectional areas of the cables in the tensegrity system of domes. The number of joints in each ring and the number of rings are considered for topology optimization of ribbed and Schwedler domes. Weight of the dome is taken as the objective function for minimization. A simple procedure is defined to determine the configuration of the domes. The design constraints are considered according to the provisions of Load and Resistance Factor Design-American Institute of Steel Constitution. In order to investigate the efficiency of the presented method, a large-scale suspendome with more than 2266 members is investigated. Numerical results show that the utilized method is an efficient tool for optimal design of large-scale domes. Additionally, in this article, a topology and geometry optimization for two common ribbed and Schwedler domes are performed to find their optimum graphs considering various spans.

Topology Optimisation in Structural Steel Design for Additive Manufacturing

“…Long-span structures have also been an object of study in TO, even if the research output is scarce in quantity. Within this subject, one can mention the Topology Optimisation of domes through a Colliding Bodies Optimisation (CBO) method by Kaveh [417] and the general space-frame steel roof optimisation method with Genetic Algorithms by Kociecki and Adeli [265]. Concerning bridge engineering, the spotlight is in the DTU TO group steel girder optimisation for super-long suspended spans, employing computational morphogenesis [418] (Figure 10).…”

Pipeline Scour Rates Prediction-Based Model Utilizing a Multilayer Perceptron-Colliding Body Algorithm

“…The physical conceptions of energy and momentum were utilized to define the CBO [27]. The CBO has been widely utilized in the field of mathematical sciences, structural optimization problems, benchmark functions, power engineering, and image processing [28][29][30]. The algorithm is simple and does not rely on any internal parameters [30].…”

“…The CBO has been widely utilized in the field of mathematical sciences, structural optimization problems, benchmark functions, power engineering, and image processing [28][29][30]. The algorithm is simple and does not rely on any internal parameters [30]. The outstanding enhancement presented in this research is the application of a CBO model at the neuron level of an MLP.…”

A Unified Optimal Design Approach for Geometrically Nonlinear Skeletal Dome Structures

“…In fact, the evolutionary-based methodologies have been widely used in the optimization of structural engineering design problems [22][23][24][25][26][27][28][29][30][31][32]. Particularly, SDS achieves to become one of attractive application areas in the evolutionary-based design optimization field [33][34][35][36][37][38][39][40][41][42][43][44].…”