Conceptual Design Optimization of Tensairity Girder Using Variable Complexity Modeling Method
Shi Yin, Ming Zhu, Haoquan Liang and Da Zhao
International Journal of Aeronautical and Space Sicences, vol. 17, no. 1, pp.29-36, 2016
Abstract : Tensairity girder is a light weight inflatable fabric structural concept which can be used in road emergency transportation. It
uses low pressure air to stabilize compression elements against buckling. With the purpose of obtaining the comprehensive
target of minimum deflection and weight under ultimate load, the cross-section and the inner pressure of tensairity girder
was optimized in this paper. The Variable Complexity Modeling (VCM) method was used in this paper combining the Kriging
approximate method with the Finite Element Analysis (FEA) method, which was implemented by ABAQUS. In the Kriging
method, the sample points of the surrogate model were outlined by Design of Experiment (DOE) technique based on Optimal
Latin Hypercube. The optimization framework was constructed in iSIGHT with a global optimization method, Multi-Island
Genetic Algorithm (MIGA), followed by a local optimization method, Sequential Quadratic Program (SQP). The result of the
optimization gives a prominent conceptual design of the tensairity girder, which approves the solution architecture of VCM is
feasible and efficient. Furthermore, a useful trend of sensitivity between optimization variables and responses was performed
to guide future design. It was proved that the inner pressure is the key parameter to balance the maximum Von Mises stress
and deflection on tensairity girder, and the parameters of cross section impact the mass of tensairity girder obviously.
Keyword : inflatable structures, optimization, surrogate model, variable complexity modeling |