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Reduced-order, trajectory piecewise-linear models for nonlinear computational fluid dynamics

机译:非线性计算流体动力学的降阶轨迹分段线性模型

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摘要

A trajectory piecewise-linear (TPWL) approach is developed for a computational fluid dynamics (CFD) model of the two-dimensional Euler equations. The approach uses a weighted combination of linearized models to represent the nonlinear CFD system. The proper orthogonal decomposition (POD) is then used to create a reduced-space basis, onto which the TPWL model is projected. This projection yields an efficient reduced-order model of the nonlinear system, which does not require the evaluation of any full-order system residuals. The method is applied to the case of flow through an actively controlled supersonic diffuser. With an appropriate choice of linearization points and POD basis vectors, the method is found to yield accurate results, including cases with significant shock motion.
机译:针对二维欧拉方程的计算流体动力学(CFD)模型,开发了分段分段线性(TPWL)方法。该方法使用线性化模型的加权组合来表示非线性CFD系统。然后使用适当的正交分解(POD)来创建缩减空间基础,并在该基础上投影TPWL模型。该投影产生了非线性系统的有效降阶模型,该模型不需要评估任何全阶系统残差。该方法适用于流过主动控制的超声扩散器的情况。通过适当选择线性化点和POD基矢量,发现该方法可产生准确的结果,包括具有明显冲击运动的情况。

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