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| Optimization of nonlinear structure based on genetic algorithm and parametrized model |
| Revised:May 13, 2002 |
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| DOI：10.7511/jslx20036142 |
| KeyWord:Genetic algorithm,nonlinear structural optimization, contact,parameterized model,Finite Element Method,metal sealing structure |
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| Abstract: |
| The application potential of structural optimization has received wide attention from a large variety of disciplines. The current research work is mainly focused on the single continuum component structures or discrete truss or/and frame structures. The paper proposes a new method for optimized size and shape design of nonlinear structures with multiple components contacting with each other (assembly structure). The method is based on a combination of Genetic algorithm (GA) and the parameterized model of geometry and finite element of such structures. The physical and geometric properties of the structures are parameterized into a set of variables in design space, and the optimal or satisfied combination of these design variables is obtained through the search procedure in genetic algorithm. The design variables of optimized assembly structure are coded into the chromosome of an individual of GA in the floating-point number before the evaluation of each individual in a GA search process, the chromosome is decoded and converted into a finite element model, and the information required in fitness evaluation in GA is provided by finite element analysis. The algorithm and the process of modeling and analysis above are implemented in the programming environments for secondary development of MSC.PATRAN and MARC. As a demonstration, an optimized parameter design for the obturator structure in the floating breech mechanism of an automatic mortar is presented; the result indicates that its obturating performance is substantially improved. The present method helps to widen the application of structural optimization in the field of mechanical design. |
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