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Fuzzy genetic algorithm optimization of composite structures

Author: FuZuo
Tutor: LiJianHua
School: Northwestern Polytechnical University
Course: Mechanical Design and Theory
Keywords: Composites Laminated shell Optimal design Fuzzy Control Genetic Algorithms Finite element analysis method
CLC: TB33
Type: Master's thesis
Year: 2006
Downloads: 295
Quote: 2
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Abstract


A wide range of composite materials, and more varieties, excellent performance, and there is a lot of future development. Composite materials can be designed so that it will become the most promising projects, most likely to achieve the best design ideal material. The composite structure design method is based the limited material experiment based on the experience design, specific structural limitations, in accordance with such experience and practice, can not fully reflect the excellent performance of the composite material, is often difficult to get a good design. Throughout the composite structure design, the status quo can be found: by means of finite element analysis technology, in conjunction with a variety of system optimization theory and modern optimization algorithms numerical optimization design of composite structures has become a trend. Based on the characteristics of the composite structure optimization design, the genetic algorithm optimization search algorithm to obtain a composite structural optimization design method without relying on gradient information and initial conditions. In this paper, the study of the genetic algorithm mechanism based on the introduction of the concept of fuzzy control, the application of fuzzy logic controller, the knowledge and experience of the people have been on genetic algorithm to rules in the form of concise, clear language to describe crossover probability and control and regulation of the mutation probability, optimization of the chromosome of the evolutionary process, improve the quality of the solution to reduce the phenomenon of premature convergence of the genetic algorithm often appear in numerical optimization. Second, the genetic algorithm to optimize composite laminated shell laminated shell structure parameters of discrete characteristics, design the integer coding strategy proposed for composite laminated shell genetic algorithm optimization design integer characterize the structural parameters of the laminated shell . This encoding is simple and intuitive, easy to use, easy genetic algorithm crossover and mutation operations. Fitness function for fuzzy genetic algorithm was constructed on the basis of the analysis of laminated shell structure strength, optimized for structural strength goal. ANSYS finite element analysis and fuzzy genetic optimization algorithm coupling studies were carried out. Constructed ANSYS finite element analysis software and fuzzy genetic algorithm to optimize the integration of the calculation method to improve the genetic optimization algorithm for the optimal design of composite structural strength. It can be done not only to optimize the design of the structural strength of the laminated composite shell, but also be able to independently parameterized finite element analysis of laminated shell. Simple structural strength of the optimal design examples show herein achieved conclusion is correct. The research and engineering applications of its composite structure design has a certain significance.

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CLC: > Industrial Technology > General industrial technology > Materials science and engineering > Composite materials
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