The Influence of Hyperparameters of a Neural Network on the Augmented RANS Model Using Field Inversion and Machine Learning
Yue Tao,
Chao Xia,
Jianfeng Cai
et al.
Abstract:<div class="section abstract"><div class="htmlview paragraph">In the field of vehicle aerodynamic simulation, Reynold Averaged Navier-Stokes (RANS) model is widely used due to its high efficiency. However, it has some limitations in capturing complex flow features and simulating large separated flows. In order to improve the computational accuracy within a suitable cost, the Field Inversion and Machine Learning (FIML) method, based on a data-driven approach, has received increasing attention in rec… Show more
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