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飞行器复合材料结构优化设计研究进展 被引量:12

Advances in the optimization design study for aircraft composite structure
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摘要 随着飞行器设计要求的日益提高,且服役环境异常严酷,发展新型材料和新结构迫在眉睫,而复合材料凭借高比强度、高比刚度、耐疲劳、抗腐蚀等优点,在现代飞行器结构的设计与制造中得到了广泛应用.复合材料结构的可设计性为设计人员提供了更为广阔的设计空间.因此,复合材料结构的优化设计问题逐渐受到国内外科研工作者的热烈讨论.本文针对国内外在复合材料结构优化设计理论方面取得的成果进行了系统的综述,主要内容包括安全系数优化设计、可靠性优化设计及鲁棒优化设计,分别阐述了以上优化理论在复合材料结构优化设计领域的应用,探讨了3种优化设计理念之间的继承与发展关系,并分析了复合材料结构优化设计当前存在的主要问题和今后的发展方向. With the increasing requirements of aircraft design, the service condition becomes more and more harsh, development for new material is imminent, and composite material has been widely used in the design and manufacture in the modern aircraft structure by virtue of high specific strength, high specific stiffness, fatigue resistance, and corrosion resistance. The advantage to be designed of composite material provides designers with more broad space for development of its potential abilities; therefore, the optimal design of the composite material gradually is aroused heated discussion among researchers both domestic and abroad. On the issue that optimization theory for composite materials at domestic and abroad, in this paper, the author introduce the development process of composite structure optimization design, and systematically reviews the achievements that researchers have obtained currently. The main contents include the safety factor-based design optimization, reliability-based design optimization and robust optimization design, elaborate the application of the above methods in composite structure optimization design region, discuss the relations among the three optimization design theories, and then the current structure optimization design of the composites presented some problems and the future development direction is analyzed.
出处 《中国科学:物理学、力学、天文学》 CSCD 北大核心 2018年第1期22-37,共16页 Scientia Sinica Physica,Mechanica & Astronomica
基金 国家自然科学基金(编号:11432002 11372025 11572024) 国防基础科研项目(编号:JCKY2016601B001 JCKY2013601B001)资助
关键词 复合材料结构 飞行器 可靠性优化 安全系数 鲁棒优化 composite structure, aircraft, reliability optimization, safety factor, robust optimization
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