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Optimization of load-carrying and heat-insulating multi-layered thin-walled structures based on bionics using genetic algorithm

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Indexed by:期刊论文

Date of Publication:2016-04-01

Journal:STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION

Included Journals:SCIE、EI、Scopus

Volume:53

Issue:4

Page Number:813-824

ISSN No.:1615-147X

Key Words:Load-carrying ability; Heat insulation; Multi-layered thin-walled structure; Genetic algorithm; Optimization

Abstract:Topology optimization to minimize the bottom-layer temperature and the structure compliance of the multi-layered thin-walled structure is carried out in this paper. A multi-layered thin-walled structure with improved performances in load-carrying and heat insulation inspired by a species of oceanic gastropods found on a hot and highly pressurized deep-sea floor is proposed. Using genetic algorithm to perform the optimization process, it is proved that the optimal topology under integrated thermal and load conditions is a sandwich structure of three layers similar to the original bionic structure of the oceanic gastropods. Soft layer with good heat insulation is placed as the middle layer, whereas hard layers with fast heat transmission are placed as the top and bottom layers to carry load. The concept of bionic three-layered structure is then applied to the skin design of an airfoil. The analysis for aerodynamic heating of the airfoil with different skin structures shows that the bionic multi-layered structure is an optimal design in both layer thickness and layer sequence.

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