Design-Informatics Approach for Intimate Configuration of Silent Supersonic Technology Demonstrator
Design-Informatics Approach for Intimate Configuration of Silent Supersonic Technology Demonstrator
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DOI：
10.2514/1.c031116
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发表时间：
2009-01
影响因子：
2.2
通讯作者：
Kazuhisa Chiba;Y. Makino;T. Takatoya
中科院分区：
文献类型：
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作者：
Kazuhisa Chiba;Y. Makino;T. Takatoya
采用设计信息学的方法设计了静音超音速技术演示机的内部结构。首先，对某静音超声速技术演示机的机翼外形进行了多学科、多目标的气动、结构、气动弹性和爆轰噪声优化设计。通过求解计算流体动力学欧拉方程进行气动评估，利用MSC进行复合材料结构重量评估。计算结构动力学强度和颤振要求的NASTRAN。用改进的线性理论对音爆强度进行了评价。该优化问题有4个目标函数：超声速条件下压力阻力最小、动臂强度最小、复合材料结构重量最小。采用粒子群算法和遗传算法相结合的方法对由50个设计变量定义的亲密构型进行了优化。在结构评价中，对满足强度和颤振要求的内外翼进行了层合复合材料叠加顺序组合优化。结果得到37个非支配解。作为第二步，执行数据挖掘以获得决定折衷解决方案的设计知识。数据挖掘揭示了设计空间中的知识，如目标函数之间的权衡信息，以及目标函数与设计变量之间的相关性。利用所获得的设计知识，成功地确定了一个折衷方案。设计信息学方法对于有效的设计过程至关重要。
The intimate configuration of the silent supersonic technology demonstrator has been designed using the design-informatics approach. As a first step, multidisciplinary design optimization with multi-objectives has been performed for the wing shape of a silent supersonic technology demonstrator among aerodynamics, structures, aeroelasticity, and boom noise. Aerodynamic evaluation was carried out by solving Euler equations on computational fluid dynamics, and composite structural weight evaluation was performed by using MSC. NASTRAN for strength and flutter requirements on computational structural dynamics. The intensity of sonic boom was evaluated by a modified linear theory. The optimization problem had four objective functions as the minimizations of the pressure drag and the boom intensity at supersonic condition, and the composite structural weight. The intimate configuration defined by 50 design variables was optimized on particle swarm optimization and genetic algorithm hybrid method. In the structural evaluation, the combination optimization of stacking sequences of laminated composites was performed for inboard and outboard wings with strength and flutter requirements. Consequently, 37 non-dominated solutions were obtained. As a second step, data mining has been performed to obtain the design knowledge for deciding a compromise solution. The data mining revealed the knowledge in the design space, such as the tradeoff information among the objective functions, and the correlations between objective functions and design variables. A compromise solution was successfully determined by using the obtained design knowledge. Design-informatics approach is essential for an efficient design process.