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Multidisciplinary design optimization of composite wing by parametric modeling

机译:基于参数化建模的复合材料机翼多学科设计优化

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In order to take into account the different requirements in aerodynamic and structural discipline, the optimization of a composite wing design is conducted using multidisciplinary design optimization (MDO) method. The geometry model of the wing is generated automatically through a parametric-modeling approach. The computational fluid dynamics (CFD) grid is generated automatically from parametric modeling using CATIA and ICEM CFD, followed by automatic flow analysis using FLUENT. The structural finite element analysis (FEA) grid is generated automatically by the parametric methods of CATIA and MSC/Patran. The structure is optimized by MSC/Nastran, and the aerodynamic load is transferred from the CFD grid to the FEA grid using the inverse distance weighted (IDW) interpolation method. The response surface method is applied for optimization and the optima of the current surrogate model is used to update the sample points. The developed MDO framework is applied to a wing optimization problem, and the optimization design result demonstrates this method could reduce the wing's structural weight.
机译:为了考虑到空气动力学和结构学科的不同要求,使用多学科设计优化(MDO)方法对复合机翼设计进行了优化。机翼的几何模型是通过参数化建模方法自动生成的。使用CATIA和ICEM CFD根据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。结构有限元分析(FEA)网格是通过CATIA和MSC / Patran的参数方法自动生成的。通过MSC / Nastran优化结构,并使用反距离加权(IDW)插值方法将空气动力学负载从CFD网格转移到FEA网格。应用响应面方法进行优化,并使用当前替代模型的最优值来更新采样点。将开发的MDO框架应用于机翼优化问题,优化设计结果表明该方法可以减轻机翼的结构重量。

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