SA-AI（带自生 inception 的 Spalart-Allmaras）技术摘要
SA-AI (Spalart-Allmaras with Autogenous Inception) Technical Summary
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中文总结 AI 辅助
该研究提出 SA-AI 方法，改进 SA 模型以模拟自然转捩，通过混合生成项驱动输运方程，经多类算例验证其结果与实验数据及其他转捩模型相符。
中文摘要 AI 辅助
仅利用 Spalart-Allmaras（SA）工作变量即可模拟从层流到湍流的自然转捩过程，该变量在一方程雷诺平均纳维-斯托克斯（RANS）封闭模型中兼具转捩指示器的作用。基准模型中该变量的亚O(1)范围是动态惰性的，而此范围可转变为 Tollmien-Schlichting 放大因子，随后混合生成项驱动 SA 输运方程，经历层流不稳定性增长与湍流涡黏性生成。将该格式在零压力梯度平板、NLF(1)-0416 翼型、Eppler 387 翼型、双元件翼段、经历阻力危机的圆柱、Daedalus 人力飞机机翼及6:1长椭球上的计算结果，与实验数据及其他转捩模型进行对比。
英文摘要
Natural transition from laminar to turbulent flow can be modeled by using only the Spalart-Allmaras (SA) working variable. The variable serves as its own transition indicator, in a one-equation Reynolds-averaged Navier-Stokes (RANS) closure. Its sub-O(1) range is dynamically inert in the baseline model. That range becomes a Tollmien-Schlichting amplification factor. A blended production term then drives the SA transport equation through laminar instability growth and turbulent eddy-viscosity production. Computations with this formulation on a zero-pressure-gradient flat plate, the NLF(1)-0416 and Eppler 387 airfoils, a two-element section, a circular cylinder through the drag crisis, the Daedalus human-powered-aircraft wing, and a 6:1 prolate spheroid are compared with experimental data and with other transition models.
