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实体 Neural Network-Based Parametric Model Reduction for Predicting Turbulent Flow for Different Vehicle Geometries

Neural Network-Based Parametric Model Reduction for Predicting Turbulent Flow for Different Vehicle Geometries

PulseAugur coverage of Neural Network-Based Parametric Model Reduction for Predicting Turbulent Flow for Different Vehicle Geometries — every cluster mentioning Neural Network-Based Parametric Model Reduction for Predicting Turbulent Flow for Different Vehicle Geometries across labs, papers, and developer communities, ranked by signal.

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  1. RESEARCH · CL_108005 ·

    神经网络降低车辆空气动力学模拟的计算成本

    研究人员开发了一种新的基于神经网络的参数模型降阶方法,用于预测车辆空气动力学的湍流。该方法旨在通过将复杂流数据投影到低维子空间来降低计算成本。该研究通过引入变分自编码器来增强对不同车辆几何形状和高雷诺数流动的鲁棒性,并关注涡流生成精度,从而扩展了先前的工作。