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Automatically Generated Aeroelastic Analysis Models including Physics Based Control Surface Representation

机译:自动生成的气动弹性分析模型,包括基于物理的控制面表示

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Defence budget cuts and increasing competition lead to new challenges for the military aviation industry. Due to this, new aircraft have to be developed in fewer design loops and with reduced engineering costs. Thus, it is important to have access to reliable engineering data already during the conceptual design phase. To provide to reliable data from the concept phase for further detailed design, a high modelling effort usually is necessary. Automated analysis model generation enables the usage of multi fidelity simulation in early design phases due to lowering the analysis model generation expenses. The core of this approach for an integrated multi-fidelity multidisciplinary design analysis and optimization platform is a parametric geometry definition. This geometry is generated by the in-house program Descartes. From the geometry different analysis models can be generated with additional information from a central database. The focal point of this publication is the fully automated generation of simulation models for aeroelastic analysis and multidisciplinary design optimization. These capabilities were recently enhanced with physics based control surface modelling by using a detailed parametric geometry definition. Through this information concerning the flight performance of a new design or the aeroelastic effectiveness of a control surfaces is available.
机译:国防预算的削减和竞争的加剧为军用航空业带来了新的挑战。因此,必须以更少的设计循环来开发新飞机,并降低工程成本。因此,重要的是在概念设计阶段就已经可以访问可靠的工程数据。为了从概念阶段提供可靠的数据以进行进一步的详细设计,通常需要大量的建模工作。由于降低了分析模型生成的费用,因此自动分析模型生成可在早期设计阶段使用多保真度仿真。用于集成多保真多学科设计分析和优化平台的此方法的核心是参数几何定义。这种几何形状由内部程序笛卡尔(Descartes)生成。根据几何结构,可以使用来自中央数据库的其他信息生成不同的分析模型。该出版物的重点是用于气动弹性分析和多学科设计优化的仿真模型的全自动生成。最近,通过使用详细的参数几何定义,基于物理的控制面建模增强了这些功能。通过此信息,可以获得有关新设计的飞行性能或控制面的空气弹性有效性的信息。

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