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基于综合评价优化的民机顶层需求指标权衡

Trade-off for top-level requirements of commercial aircraft using comprehensive evaluation and optimization
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摘要 确定顶层需求指标是民机设计流程之初的重要工作。针对民机顶层设计工作,提出一套民机顶层需求定量权衡方法。根据民机顶层需求与概念设计之间的关系,将概念设计方案的特性参数视为一组可行的顶层需求。将顶层需求的权衡分析问题转换为对飞机总体设计参数的优化问题。选择“经济性、舒适性、环保性、适应性、安全性/可靠性”这5条判断准则,建立民机顶层需求综合评价模型,评估顶层需求的综合竞争力。以竞争力最大为目标,优化概念方案,确定最优的顶层需求组合。在宽体客机案例中,得到了比初始需求更合理的顶层需求,验证了所提方法的可行性。 As the key process of aircraft design,top-level requirements should be carefully considered at the beginning of design activities.A quantitative trade-off method for top-level requirements of commercial aircraft has been proposed.According to the relationship between top-level requirements and aircraft conceptual design,characteristics of aircraft concept can be regarded as a set of feasible top-level requirements.The trade-off of top-level requirements is transformed to the optimization of design parameters.With the consideration of five criteria,including economy,comfort,environmental protection,flexibility,and safety/reliability,a comprehensive evaluation model for top-level requirements of commercial aircraft is established.The optimal set of top-level requirements can be found by the optimization for the best result of the comprehensive evaluation model.In the case of wide-body commercial aircraft,more reasonable top-level requirements are obtained,which reveals the feasibility of the comprehensive evaluation and optimization method.
作者 范周伟 余雄庆 戴亚林 FAN Zhouwei;YU Xiongqing;DAI Yalin(Key Laboratory of Fundamental Science for National Defense-Advanced Design Technology of Flight Vehicle,College of Aerospace Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing 210016,China;Shanghai Aircraft Design and Research Institute,Commercial Aircraft Corporation of China,Ltd.,Shanghai 201210,China)
出处 《北京航空航天大学学报》 EI CAS CSCD 北大核心 2023年第9期2415-2422,共8页 Journal of Beijing University of Aeronautics and Astronautics
基金 国家自然科学基金(12032011) 民用飞机专项科研项目。
关键词 民机 顶层需求 综合评价 优化 权衡分析 commercial aircraft top-level requirement comprehensive evaluation optimization trade-off analysis
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