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Multidisciplinary Design Optimization of a Structurally Nonlinear Aircraft Wing via Parametric Modeling

机译:基于参数化建模的结构非线性飞机机翼的多学科设计优化

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In this study, the optimization of an aircraft wing design was conducted using multidisciplinary design optimization (MDO), which integrates aerodynamic and structural analysis in considering nonlinear structural behavior. Automation is an absolute necessity to make the MDO framework practical for actual engineering optimization problems. The objective of this research was to develop a fully automated MDO framework in which the entire process is automated through a parametric-modeling approach. The computational fluid dynamics (CFD) grid was generated automatically from parametric modeling using CATIA and Gridgen, followed by automatic flow analysis using FLUENT. The computational structure mechanics (CSM) grid was generated automatically by the parametric methods of CATIA and MSC/Patran. The structure was analyzed by ABAQUS considering the deformation nonlinearity, and the aerodynamic load was transferred from the CFD grid to the CSM grid using the volume spline method. The response surface method was applied for optimization, which helped achieve the global optimum. The developed MDO framework was applied to a wing optimization problem in which the objective was wing weight and the constraints were the lift-drag ratio, wing deflection, and structural stress level. The aspect ratio, taper ratio, quarter-chord sweep angle, skin thickness, and spar flange area were the design variables. The optimization design result demonstrated a successful application of the fully automatic MDO framework.
机译:在这项研究中,飞机机翼设计的优化是使用多学科设计优化(MDO)进行的,该设计将空气动力学和结构分析结合在一起考虑了非线性结构行为。自动化是使MDO框架实际解决实际工程优化问题的绝对必要条件。这项研究的目的是开发一个完全自动化的MDO框架,其中整个过程通过参数建模方法实现自动化。使用CATIA和Gridgen通过参数化建模自动生成计算流体动力学(CFD)网格,然后使用FLUENT自动进行流量分析。计算结构力学(CSM)网格是通过CATIA和MSC / Patran的参数方法自动生成的。通过ABAQUS考虑变形非线性来分析结构,并使用体积样条法将气动载荷从CFD网格转移到CSM网格。响应面法被应用于优化,这有助于实现全局最优。将开发的MDO框架应用于机翼优化问题,该问题的目标是机翼重量,而约束条件是升阻比,机翼挠度和结构应力水平。长宽比,锥度比,四分之一弦扫角,蒙皮厚度和翼梁翼缘面积是设计变量。优化设计结果证明了全自动MDO框架的成功应用。

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